Business Intelligence Engineer Resume Samples
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Business Intelligence Engineer Resume Samples
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CL
C Larkin
Carolyne
Larkin
1652 Ozzie Island
Philadelphia
PA
+1 (555) 512 1695
1652 Ozzie Island
Philadelphia
PA
Phone
p
+1 (555) 512 1695
Experience
Experience
Chicago, IL
Business Intelligence Engineer
Chicago, IL
Funk Inc
Chicago, IL
Business Intelligence Engineer
- Own execution: Define creative, high quality roadmaps supporting the BI vision, consistent with team priorities, partner team planning, and existing tools capabilities; work closely with engineering teams across Alexa to deliver on the roadmap, including collaboration with partners to drive necessary changes to Alexa components; lead development of new BI technologies, in some cases technologies you prototype or evaluate yourself
- Participate in quality or process improvement activities, including regular reviews of systems and technology. Design and implement modifications or improvements, based on those activities
- Providing analytical network support to improve quality and standard work results
- Perform complex data analysis to identify different opportunities to reduce fulfillment costs or improve CX and set priorities to improve them
- Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance
- Provide analytical network support to improve quality and standard work results
- Providing analytical support to improve quality and standard work results
Houston, TX
Ghrs, Business Intelligence Engineer
Houston, TX
Altenwerth-Halvorson
Houston, TX
Ghrs, Business Intelligence Engineer
- Work collaboratively with economists and research scientists to assist in the design and implementation of analysis to answer challenging HR questions
- Assist in operationalizing econometric and statistical models
- Tune query performance using profiling tools and SQL
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets
- Interpret and communicate results to outside customers
- Report results in a manner which is both statistically rigorous and compellingly relevant
- Drive operational excellence for data ingestion, transformation, and publication to ensure confidence in the systems we build
present
San Francisco, CA
Business Intelligence Engineer, Global
San Francisco, CA
Klocko, Durgan and Mills
present
San Francisco, CA
Business Intelligence Engineer, Global
present
- Drive development of quantitative models necessary for evaluation and implementation of new strategies with product managers
- Use data mining, model building, and other analytical techniques to develop predictive models
- Develop solutions that utilize the highest standards of analytical rigor and data integrity
- Collaborate with finance and product management as a leader of quantitative analysis
- Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines
- Analyze and solve business problems at their root, stepping back to understand the broader context
- Write high quality code to retrieve and analyze data
Education
Education
Bachelor’s Degree in Computer Science
Bachelor’s Degree in Computer Science
Brigham Young University
Bachelor’s Degree in Computer Science
Skills
Skills
- Proficiency with TABLEAU, Microsoft Excel to include making charts, data manipulation, pivot tables, creating macros, and visual basic knowledge
- Strong attention to detail, excellent organization skills, and ability to manage multiple projects and responsibilities
- Excellent analytical skills with demonstrable experience in the compilation, interpretation and analysis of management information desirable
- Demonstrate Excellent written and verbal communication skills, strong customer focus and demonstrated ability to work in geographically dispersed teams
- Strong knowledge of various data warehousing methodologies and data modeling concepts. Hands on modeling experience is highly desired
- Experience in relational database concepts with a solid knowledge of SQL, including ability to write complex queries against one or more schemas
- Excellent knowledge of Oracle SQL, Tableau, Excel and OLAP
- Strong communication and presentations skills with an ability to deal with all levels in a confident and professional manner
- Good communication skills with both technical and business people. Ability to speak at a level appropriate for the audience
- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
15 Business Intelligence Engineer resume templates
Read our complete resume writing guides
1
Business Intelligence Engineer Resume Examples & Samples
- Is passionate about working with data
- Enjoys helping the business gain insight from your reporting and analysis
- Has strong technical and organization skills and the ability to analyze, synthesize and process large data sets
- Is a critical thinker with great problem solving skills and thrives with ambiguity
- Is a continuous learner with natural curiosity and you have a strong interest in financial markets
- Support data management efforts and continued improvements to our internal technical infrastructure
- Design and develop optimal ETL processes to integrate new data sources
- Develop database models to support efficient reporting and analysis
- Monitor data sources and manage timely loads into our database to support reporting and analyses
- Drive process improvement projects to better leverage existing internal and external data sources and conduct thorough testing to ensure accuracy of data
- Effectively partner and interact with people of all levels to obtain new data elements required to support analyses or projects and effectively communicate and present results
- Train end-users on BI tool usage and ways of provisioning direct access to our database(s)
- Contribute to long-term strategic vision of platform and tools
- 4-year College degree (BA/BS). MIS or relevant technical experience preferred
- 3-5 years of relevant technical experience spanning database development, reporting and business intelligence tools
- Strong knowledge of SQL including stored procedures and performance tuning on an RDBMS such as SQL Server or Oracle
- Practical experience developing ETL processes and familiarity with an ETL tool such as Informatica or SSIS
- Exposure to and understanding of data modeling, data architecture, data warehouse design and/or best practices for developing environments focused on analytical and business intelligence data
- Experience building reports using tools such as EXCEL, Crystal Reports, Business Objects, Tableau, Spotfire, Cognos or other best-in-class BI applications
- Excellent written and verbal communication skills with an ability to articulate complex concepts simply
- Knowledge of other programming languages such as Java, Python, Javascript etc would be a plus
2
Microsoft Business Intelligence Engineer Resume Examples & Samples
- Make the appropriate decisions and approvals in order to successfully deliver multi-million dollar global business intelligence programs
- Participate in and support program/project application engineering baseline to ensure activities are occurring as planned - scope, budget and schedule and managing variances
- Proactively identify risks, issues and problems on programs/projects - leading engineering and project/program team to develop risk management and issue management plans
- Ability to clearly articulate problems and proposed options and solutions and apply judgment in implementing application engineering methodologies, processes and practices to ensure security, resilience, maintainability and quality of MDM solutions
- Ability to quickly adapt to changing requirements and customer demands
- Ability to prioritize personal workloads to best meet organizational objectives
- Analytical skills and problem solving skills needed to manage multiple factors on a program/project simultaneously
- Supports the overall MDM team to deliver technical solutions for global multi-million dollar, multi-year program/project to schedule, budget and scope
- Supports program application engineering teams consisting of cross functional, global, and virtual groups; helps in assigning responsibility to other members of the team (including 3rd party)
- Helps to mentor, coach and supports less experienced staff as needed to meet program goals and objectives
- Proven track record of successful delivery of application engineering within Business Intelligence and MDM programs/projects with personal accountability for the functional and non-functional application engineering design and execution within large, complex programs/projects typically more than $5m in value and 18 months in duration that includes the use of supplier and off-shore resources
- Significant experience with implementing and maintaining application engineering disciplines for Business Intelligence technologies, vendors and products on the Microsoft platform including SQL Server (SSIS, SSRS, SSAS), .NET, SharePoint
- Senior application engineering experience and able to take an active hands-on keyboard engineering role
- Track record of customer focus and stakeholder management based on openness, trust, and delivering on promises
- Mastery of application engineering methodology, tools and templates (includes planning, schedule development, scope management and cost management) including Risk Management and life cycle management tools such as Team Foundation Server
- Supporting the Program Manager in managing to contract; ensuring clients and suppliers alike perform in accordance with original agreement
- Proven IT delivery background with experience across the systems development life cycle with experience in all program/project phases – plan, initiate, elaborate, design, build, test, implement
- Leader in the use of Application Engineering methodologies, processes, standards tools and techniques within the Business Intelligence / MDM domain
- Strong team working skills across matrixed client, supplier and geographically dispersed virtual teams
- Strong communication and interpersonal skills (includes negotiation)
- Excellent written and verbal communication skills – must be able to communicate fluently in English both verbally and in writing
- 10 years application engineering experience including full life-cycle and functional/non-functional experience specifically on the Microsoft platform including SQL Server (SSIS, SSRS, SSAS), .NET, SharePoint
- 6 years experience leading application engineering project teams
- 5 years experience with business intelligence (Enterprise Reporting, Analytics and Data Warehousing)
- Excellent experience in client-facing roles within blue chip organizations
- Experience of application engineering team management with medium/large multi-location teams on multi-year Business Intelligence & MDM projects/programs
- Work experience in a professional services industry, preferred
- Work experience in a global role, preferred
3
Business Intelligence Engineer Resume Examples & Samples
- Design and implement business intelligence reporting and analytics solutions, such as dashboards, reports, and ad-hoc capabilities, in our Oracle Business Intelligence 11g (OBIEE) environment
- Create and develop products, such as dashboards and ad-hoc capabilities, in our Oracle Endeca Information Discovery (OEID) platform to help business clients understand our data, perform unstructured analysis, and gain insights
- Listen to and translate what you hear or see (business requirements) into practical, efficient, and sustainable technical solutions
- See the big picture between several requirements to engineer solutions which are elegant, robust, and effective in many different use cases
- Participate in data analysis, mapping, dimensional modeling, and troubleshooting if necessary in order to maintain high quality, well-structured, and robust data
- Create documentation, unit tests, samples, and other artifacts to validate your work and to assist others using or supporting your work
- Work closely with data architects, data integration engineers, system engineers, and other team members to deliver the very best business intelligence products
- Perform exploratory and quantitative analytics when required Actively participate in the team’s software development lifecycle (agile-based)
- Keep your eyes open for new technologies, ways of doing things, risks, and opportunities so the team can stay at the leading edge of the possible
- 2 or more years of professional experience as a data/business intelligence developer
- Experience with our primary front-end tool – Oracle Business Intelligence Enterprise Edition 11g (OBIEE)
- Proficiency with SQL languages (SQL, T-SQL) in more than one relational database platform (Oracle, Microsoft SQL Server, etc.)
- Familiar with the benefits and challenges of large data sets and systems
- Practice working in an agile software development lifecycle environment
- Brings intellectual curiosity and creativeness to work everyday
- Top-notch analytical skills Passionate about using data to solve pressing and/or difficult questions
- Excellent communication abilities with the ability to communicate clearly and effectively based on the audience
- Desire to work in a highly collaborative environment
- Demonstrated ability to deliver on commitments to themselves, the team, and their customers
- Comfortable pushing for more information or detail when prudent
- Familiarity with data analysis tools, such as R, SAS, Platfora, or Tableau
- More than one implementation cycle with a business intelligence platform, such as OBIEE or Business Objects
- Use of the Hadoop stack including Hive, MapReduce, Pig, Hive, and related technologies
- Programming and/or scripting language experience (C, C#, Java, Python, Ruby, etc.)
- Personal or professional experience with open source software
- You have previously worked in the media or entertainment space
- B.S. or M.S. in Computer Science, Management Information Systems or a field related to technology
4
Business Intelligence Engineer Resume Examples & Samples
- BA/BS degree in Computer Science or other technical qualification
- 3+ years of relevant work experience
- Experience with databases, including SQL coding across standard commercial databases (e.g. Oracle, Teradata, MySQL etc.)
- Experience in developing ETL (Extract Transform Load) scripts in high data volume data warehousing environments
- Knowledge of commercial and emerging reporting tools and technologies (e.g. Tableau, QlikView, Microstrategy, Business Objects, Cognos, D3)
- Distinctive problem-solving and analytical skills combined with strong business acumen; demonstrated ability to multi-task and apply initiative and creativity on challenging projects
5
Business Intelligence Engineer Resume Examples & Samples
- Design and implement business intelligence reporting and analytics solutions, such as dashboards, reports, and ad-hoc capabilities in Tableau
- Participate in developing and testing ETL workflows to perform data transformations and aggregations in our cloud environment
- Perform exploratory and quantitative analytics when required
- Actively participate in the team’s software development lifecycle (agile-based)
- Do you like to leverage your technical skills to tell stories with data and make it meaningful to many different groups of people?
- Are you highly collaborative and enjoy working on teams that solve challenging problems by working together?
- Is the thought of competing with toe-to-toe with cutting-edge media and technology companies through the use of data and information exciting?
6
Business Intelligence Engineer Resume Examples & Samples
- 5+ years of Data Analysis and SQL skills
- Demonstrated experience with business intelligence suites, preferably Pentaho or other open source tools
- 5+ years of experience with ETL development tools or comparable programming technologies
- 3+ years of experience leveraging the capability of business intelligence in fast moving small and medium-sized data environments using RDBMS, flat file, and XML data sources
- 5+ years data modeling – experience in dimensional modeling a plus
- 5+ years in conducting business analysis for BI and performing related data modeling
7
Business Intelligence Engineer Resume Examples & Samples
- Wide ranging knowledge of BI and data warehousing technology and theory
- Primary skillset in SAP BI (BW, BOBJ, ABAP) development and administration
- Secondary skillset in SQL Server, Tableau, SAS, Redshift or web development
- Strong track record in programming and coding
- Good knowledge of ITIL processes
- Prioritisation, communication, reporting
8
Business Intelligence Engineer Resume Examples & Samples
- Build and design Extract, Transformation and Load (ETL) processes, procedures and code
- Transforms or translates complex business trends into analytic and reporting requirements
- Develop custom business reports
- Build and design data access objects (stored procedures, universes, SQL statements) for reporting
- Design significant enhancements to the established data warehouse
- Build moderately complex query capabilities, compiling data from multiple sources or formats
- Build tests for data integrity to ensure intelligence is consistent with business needs
- Build complex business intelligence tools, databases, methods or systems for process and data validation
- Implement audit processes for security and compliance
- Implement QA processes to guarantee a high level of quality in both the data warehouse and the BI layer
- Communicate with business users to solve problems and ensure requirements are met
- Implement systems software engineering policies, procedures and best practices
- Solve a range of complex problems and may take a new perspective to identify and deliver solutions
- May help develop others’ skills or provide informal assistance with problem solving or conflict resolution
- Apply compliance requirements within scope of responsibility, provide documentation as necessary, and participate in compliance activities as required
- Apply technical expertise and work independently within scope, receiving moderate guidance and direction from work team and/or manager on large, new tasks
- 3-7 years of relevant experience
- SQL Server MCDBA certification or SQL Server experience
- SAP Business Management System
- Ability to prioritize and problem solve
- Detailed understanding of generally accepted business intelligence methodologies, tools, and techniques
- Comprehensive knowledge of a specific Guggenheim business function and how platforms and products will be used by business partners (not required for new hires—acquired knowledge)
- Must have experience in one or more of the following: MS SQL Server installation, configuration and maintenance, SQL Server Development (SSIS preferred), Data Warehouse lifecycle including data analysis, data modeling and design using dimensional modeling approach
- Prefer a working knowledge of the financial services industry and Microsoft .net or Office and experience with reporting and/or ETL tools
- Strong attention to detail; accurate
9
Business Intelligence Engineer Resume Examples & Samples
- 5+ years of experience in designing and operating very large BI platforms
- Strong Data Warehousing and Business Intelligence skills, including: Reporting, Data cleanup, ETL and handling scalability issues for enterprise level data warehouse
- Experience in at least one reporting tool like Qlikview, Tableau, OBIEE, MicroStrategy etc
- Experience with implementing data quality rules across business intelligence platform
- Expert in SQL writing
- Working knowledge of HDFS, and Hadoop/Hive and familiarity with big Data technologies (HBASE, Spark)
10
Business Intelligence Engineer Resume Examples & Samples
- Develop data integrations from enterprise applications using ETL tools or python
- Be involved from project inception to report design ensuring that reports are delivered with high-quality and accuracy and relevant data in consumable formats
- Work with the business analysts and program managers to understand their metrics and KPIs and translate them into technical specifications and deliver the dashboards and reports
- Support, advice, and collaborate to deliver ad-hoc reports and data, as necessary to meet the needs of each functional department
- Streamline processes regarding data flow and data quality to improve data accuracy, viability, and value
- Provide end-user training and support
11
Business Intelligence Engineer Resume Examples & Samples
- Support and maintain existing all BI applications and systems
- Work directly with business stakeholders to develop BI solutions
- Develop Dashboards using tools such as Qlik, Birst, Tableau and Microsoft Reporting Services
- Promote the need for self-serve analytics and partner with the business to create new ways to explore and visualize data
- Build the reporting data model and help the data engineering team with creating views , SQL scripts etc
- Ensure that the design and operation of the BI solutions are appropriate to meet the information and decision support requirements of the business
- Push the boundaries of data visualization by creating new and interesting ways to do analysis or storytelling
- Maintain full documentation for BI solutions and related services together with associated communications documents
- Interact with business users to gather and define business requirements and translate business requirements into technical specifications
- BS in Computers Science /Information Systems preferred but appropriate business/technical experience acceptable
- 3+ years’ experience in applications programming development and production support
- 3+ years’ experience developing applications in Qlik or a similar tool (Tableau, Birst, PowerBI)
- Must be proficient in developing and troubleshooting SQL
- Experience with data modelling methodologies a plus
- Experience with Java, PHP, HTML, JavaScript, d3 a plus
- Excellent communication skills are needed with demonstrated ability to work with multiple organizational functions and levels
12
Business Intelligence Engineer Resume Examples & Samples
- Expert in Data Modeling and designing data warehouse from heterogeneous OLTP sources
- Able to design complex ETL’s extracting data through XML files, RDBMS and Flat file sources
- Strong programming skills, relational database skills with expertise in Advanced Sql and PL/Sql
- Mastery in Business Intelligence and Data warehousing concepts and methodologies
- High expertise on Databases, data acquisition, ETL strategies and tools and technologies using Informatica
- Extensive experience in data analysis and root cause analysis and proven problem solving and analytical thinking capabilities
- Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, Version Control and Office software
- Knowledge in Reporting/Analytics and data visualization tools like OBIEE
- Ability to design Physical and Reporting Data models for seamless cross-functional and cross-systems data reporting
- Ability to prioritize workload and work with minimal supervision
- Experience with scripting language like Python, Shell, JavaScript, HTML5 is a plus
- Broad understanding of multiple existing and next generation Business intelligence tools and technologies
- Ability to mentor lower level developers on definitive tasks
13
Business Intelligence Engineer Resume Examples & Samples
- Support the development and evolution of our data warehouse and BI platform
- Design and implement ETL solutions and data processing through AWS (S3, Redshift, etc.)
- Partner with the BI Manager, BI Engineers, and BI Analysts on building a best-in-class suite of tools and reporting mechanisms to bring the most salient, insightful data more directly into key business functions
- Develop data integration solutions leveraging multiple disparate sources
- Continual performance tuning and capacity planning for future growth potential
- Provide a constant flow of new and innovative ideas into the BI roadmap
- 3+ years of experience writing advanced SQL, performance tuning of BI queries, data modeling, and data mining from multiple sources
- 2+ years of experience in Analytics, OLAP tools, and engineering automated solutions
- 2+ years of e-commerce experience required
- Experience leveraging AWS for both data warehousing and query/process automation
- Knowledge of scripting for automation (Python, Perl, R, etc.)
- Experience with Data Visualization platforms and best practices (primarily Tableau)
- Strong record of achievement in applying a customer mindset to shape solutions, drive change and achieve business goals
- Outstanding ability to clearly communicate data, context, and implications to business and technology partners
14
OCT Business Intelligence Engineer Resume Examples & Samples
- Select, Blueprint, Elicit Requirements
- Design and Implement BI solutions
- Become an expert with business intelligence tools
- 1 year experience in any of the following
- Microsoft BI Tools (Integration Services, Analysis Services, Reporting Services, SQL Server, etc.)
- Tableau Reporting
- Information Systems/Technology
- Scripting or Coding
- The ability to work in several areas of software development as part of a team or independently
- Strong analytical, problem solving, and organizational skills
- The ability to work in a dynamic, fast-paced, 24x7 work environment
- The ability to manage multiple projects and tasks concurrently
- Active team participation and demonstrated teamwork and consensus building skills
15
Business Intelligence Engineer Resume Examples & Samples
- 4+ years work experience in relevant field
- Experience in using SQL to analyze data in a database or data warehouse and be able to use a major programming (e.g. Java/C) and/or a scripting language (Perl, Unix shell) to process data for modeling
- Confident leader who can prioritize and analyze tradeoffs, communicate clearly and compellingly and effectively influence internally and externally, across organization boundaries. Able to independently influence and resolve conflicts with others who are not in your reporting chain
- Inquisitive technical and business skills to understand, test, or challenge while working harmoniously with the business and technology owners
- Drive effective teamwork, communication, collaboration and commitment across multiple disparate groups with competing priorities
- Candidates with an advanced degree or with additional experience are preferred
- Experience creating and maintaining predictive models and machine learning
- Working with large data sets in Oracle and no-SQL databases as well as in flat files
16
Business Intelligence Engineer Resume Examples & Samples
- Building prediction and risk models, including recommendations for incentives to drive supplier behavior
- Collaborate with finance and product and risk management as a leader of quantitative analysis for Dangerous Goods
- Identifying data needs and driving data quality improvement projects. Supporting ad-hoc data analysis requests
- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use
- Participate in periodic reviews with senior leaders at Amazon
- Think creatively: Amazon is a place that is permanently pushing the boundaries of the industry. We are not looking for someone that will just estimate models and write analyses. We want someone that will extract insights and provide business recommendations
- Generate Impact: We want someone obsessed with impact. We don’t want someone that is just interested in finding patterns in the data. We want someone that understands how to turn those discoveries into value for our customers and regulators
- Bachelor's degree or advanced degree in Math, Computer Science, Finance, Statistics or related discipline
- 5+ years of professional experience in business analytics at scale
- 5+ years of professional experience with ETL, Data Modeling, and Business Intelligence architecture
- Experience operating, and working with very large databases and datasets
- Proficiency in SQL and performance optimization
- Experience solving complex quantitative business challenges
- Verbal/written communication & data presentation skills, including an ability to effectively communicate with and influence both business and technical teams
- Master’s/Ph.D/MBA degree
- Experience with Tableau or other BI tools
- Experience relying heavily on data and analysis in driving decision making
- Ability to juggle multiple priorities and make things happen in a fast-paced, dynamic environment; strong bias for action
- Knowledge of accounting, financial, operational, and marketing principles
17
Business Intelligence Engineer Resume Examples & Samples
- 3+ years work experience including business analysis and project management
- Experience in Demand Planning & Forecasting, Supply Chain or Inventory Management strongly desired
- Strong quantitative modeling and analysis skills such as statistical analysis, operations research, and data mining
- Experience in financial or operations planning
- Experience in time series modeling of financial data or machine learning forecasting applications
- Experience in customer behavior research
- Software development or software project management experience
18
Business Intelligence Engineer Resume Examples & Samples
- BS degree in Computer Science, Engineering, Information Systems or a related technical field and 3-5 years of related industry experience; or a MS degree with 2 years’ experience; or 2 years related Amazon experience
- Expert knowledge of MS Excel, SQL, databases, and ETL jobs
- An ability and interest in working in a fast-paced and rapidly-changing environment
- Ability to travel for up to 25% of your time to work shoulder-to-shoulder with your colleagues in a global business
- Experience within a large scale, data driven environment, in a Supply Chain, Transportation, Network Planning or Ops Finance role
- Experience with at least one data visualization tool (e.g. OBIEE, Tableau, QlikView)
- Knowledge of a programming or scripting language
- Experience working with Software Development teams to develop solutions to operational problems
19
Business Intelligence Engineer Resume Examples & Samples
- 2+ years of relevant employment experience or a PhD with no work experience
- Track record of building ML models that use huge amounts of training data
- Advanced data analysis and statistical skills including knowledge of statistical packages in R and Python
- Proven analytical/problem solving skills and attention to detail, including the ability to recognize non-obvious patterns/predictors, with the ability to propose insightful hypotheses
- Demonstrated ability to learn new tools and technologies
- Strong Knowledge with Advanced SQL (analytical functions), ETL, Data Warehousing
- Ability to effectively communicate with both business and technical teams
- PhD in an analytical area such as Statistics, Computer Science, Physics, Mathematics, Engineering or similar
- Clear examples of demonstrated analytical skill that drove business value
- Ability to thrive in an agile environment
20
Business Intelligence Engineer, Promise Resume Examples & Samples
- Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis
- Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models
- 5+ years work experience in data mining and analysis
- Proven analytical and quantitative skills
- SQL expert with prior success working with extremely large data sets
- Demonstrated ability to work with technical teams to deliver accurate and scalable reporting and analytics solutions
- Effective spoken and written communication to senior audiences, including strong data presentation and visualization skills
- Detail-oriented with an aptitude for solving unstructured problems
21
Business Intelligence Engineer Resume Examples & Samples
- Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions
- Employ appropriate algorithms to discover patterns of risk and abuse to help reduce bad debt
- Design experiments, test hypotheses, and build actionable models to optimize TRMS operations
- Solve analytical problems, and effectively communicate methodologies and results
- Build predict models to forecast risks for product launches and operations and help predict workflow and capacity requirements for TRMS operations
- Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies
- Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
- Bachelor of Science with relevant experience in Data Mining and Statistical Modeling
- 2+ years of experience in Python, Shell, MATLAB, SQL, R, Fortran, JavaScript, HTML/CSS or Tableau
- 2+ years of experience in business analytics, forecasting or business planning with emphasis on analytical modeling, quantitative reasoning and metrics reporting preferably from an internet environment
- Masters in a quantitative discipline, e.g. Mathematics, Statistics, Economics, Physics
- Experience in e-commerce / on-line companies in fraud / risk control functions
- Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and natural language processing, experimental design, social networking analysis, feature engineering, etc
- Demonstrate understanding and experience with relational data sets, data warehouses, data mining and data analysis techniques
- Compelling communication and influencing skills and participation in winning the support of management and influence the course of major strategic decisions
22
Business Intelligence Engineer Resume Examples & Samples
- Manipulate/mine data from database tables (MySQL, SQL server, Oracle, Data Warehouse, log files)
- Ability to write scripts (ex. PERL) which would help diagnose business problems and identify solutions in order to give the team the ability to solve these issues with your root cause analysis
- Develop reports and dashboards using various technologies (i.e. RUBY, HTML, PHP, Java, and AJAX) which would allow business partners throughout the organization, including senior leadership, the ability to graphically understand issues our customers are seeing as well as action items to solve these issues
- Analyze and report data findings from disparate systems and generate reports to find and identify new and insightful ways to enhance the customer experience using your data-driven insights
- Providing ad hoc analytical support to improve related systems and known issues
- BS degree in Computer Science and 5+ years of industry experience developing large scale distributed software systems or a MS degree with 1 year experience or 2 years related amazon experience
- Experience with any/all of the following preferred: Python, R, C++, MATLAB, STATA, Java, Ruby, Perl, Oracle, SQL and other BI statistical software and analytics tools
- Deep understanding and empathy for the business and its objectives
- An uncanny knack and passion for turning qualitative analysis and observations into diagnostics and metrics
23
Business Intelligence Engineer Resume Examples & Samples
- Build scalable solutions/self-serve platforms that will provide data/KPIs to inform business decison making
- Investigate data sources across Amazon and expand existing device data infrastructure
- Demonstrated experience delivering actionable insight for a consumer business
- Experience with Big Data solutions
- Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy
24
Business Intelligence Engineer Resume Examples & Samples
- Work with business program owners to build data sets and other products that answer their specific business questions
- Supporting ad-hoc data analysis requests
- Bachelor’s degree or higher in an analytical area such as Computer Science, Mathematics, Statistics, Engineering or similar
- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
- Strong project planning skills and cross-team leadership experience
- Master’s or higher degree in an analytical area such as Computer Science, Mathematics, Statistics, Engineering
- Experience in SQL
- Familiarity and comfort with statistics and use of statistical applications such as R, Python
25
Business Intelligence Engineer Resume Examples & Samples
- Work with our customers to understand their needs and design reporting solutions that will exceed expectations
- Build flexible and fast dashboards using new technologies
- Automate existing reports
- Strong experience with reporting tools like Tableau or other reporting packages
- Demonstrated ability in ETL development
- Solid communication skills and team player
- Demonstrated ability to manage and prioritize workload
- Experience using very large datasets
26
Business Intelligence Engineer Resume Examples & Samples
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
- Interface with business customers, gathering requirements and delivering complete reporting solutions
- 3-5 years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field, and 5-7 years professional experience (experience in consumer-facing industry preferred)
- Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets
- Knowledge of Advanced SQL and a programming language
- Experience with statistical analysis using R/SAS/Matlab or similar tools
27
Business Intelligence Engineer Resume Examples & Samples
- Work closely with management, software engineering leaders, and business teams to plan catalog data improvements so as to maximize customer improvement impact
- Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment
- Collaborate with software engineering teams to integrate experimental capabilities into large-scale, highly complex Amazon production systems
- Report results in a manner which is both statistically rigorous and compellingly relevant
- Assist in recruiting, mentoring, developing, and training other Research Scientists as well as other technical roles when needed
- Master’s degree in Mathematics, Statistics, Operations Research, or in a field of experimental science
- Theory and practice of Design of Experiments and statistical analysis of results
- Experience using operations research techniques for solution optimization and continuous process improvement
- Programming skills sufficient to extract, transform, and clean large (multi-TB) data sets in a Unix/Linux environment
- Proficiency in a statistics package such as SPSS, SAS, S-PLUS, or R
- PhD in Mathematics, Statistics, Operations Research, or in a field of experimental science
- Familiar with the techniques and limitations of observational studies
- Familiar with theory and practice of information retrieval, relevance, machine learning, and data mining
- Skilled at data visualization and presentation
- Familiar with the core undergraduate curriculum of Computer Science
- Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form
- Energy and willingness to formulate, test, and discard or revise many hypotheses to help Amazon improve its product catalog
- Strong desire to push your ideas into production, overcoming obstacles, in order to benefit Amazon's customers
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Business Intelligence Engineer Resume Examples & Samples
- Collect, analyze and present actionable data to drive marketing, business development and product management decisions at a senior level
- Understand high-level business objectives and continually align work with those objectives to meet needs of business
- Ensuring data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use
- Supporting cross-functional teams on the day-to-day execution of projects and initiatives
- Recognize and adopt best practices in reporting and analysis; data integrity, test design, analysis, validation and documentation
- Learn and understand a broad range of Amazon’s data resources and know when, how and which to use and which not to use
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance or related discipline
- 4+ years of relevant experience in business intelligence role, including data warehousing, business intelligence tools, query techniques and technology
- Excellent knowledge of Oracle SQL, Excel, ETL and Redshift. Using databases in environment with large-scale complex datasets. Experience with scripting technologies like Python, Perl or Bash
- Experience with setup and maintenance of data marts, DB architecture and data mining
- Experience is setting up reporting dashboards using technologies like Business Objects, Cognos, Tableau, MicroStrategy etc
- Experience with design, development, and maintenance of ongoing metrics, reports, data analysis, dashboards, etc. to drive key business decisions
- Experience with complex data analysis, diving deep and coming up with effective and scalable solutions
- Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams
- Master’s degree in math, statistics, computer science or equivalent technical field
- Management and leadership experience a plus
29
Business Intelligence Engineer Resume Examples & Samples
- Compiling and evaluating quantitative and qualitative compensation related data sets against internal and external benchmarking
- Conducting ongoing metrics analysis and supporting new analytic strategies for current and future measurement
- Design, development and evaluation of highly innovative predictive models for forecasting purposes
- Establish scalable, efficient, automated processes for large scale data analyses
- Provide ad-hoc or special project data analysis to Compensation and business leaders that enable them to achieve their goals, drive decision making and create new strategies where necessary
- Gather and manage large datasets from multiple sources, transforming or cleaning data as necessary
- Contribute to the research of external benchmark information that enables the compensation teams and business leaders to foresee future talent trends
- Documenting and administering existing and future processes needed to streamline operations and ensure compliance with regulatory requirements
- Preparing compensation reports/queries as needed (e.g. program spend, new hire offers) and ensuring integrity of data and reporting methodologies
- Drive the collection of new data and the refinement of existing data sources
- Serve as data quality advocate with regular system audits to ensure complete and accurate reporting
- Demonstrated data manipulation skills, including work with complex data structures and queries
- Proven research and problem solving skills
- Deep analytical reporting experience
- Excellent communication, collaboration and presentation skills
- Experience in SQL and ability to create queries using SQL
- Ability to use R Statistical Computing Language
- Driven and results oriented, with strong business acumen and quantitative analytical abilities
- Ability to create, maintain and disseminate information to stakeholders for multiple projects/work streams at one time
- Excellent written and verbal communication; high quality document and report preparation
- Ability to work independently, as well as be an active member of both business and HR teams
- Strong skills using Microsoft Office products, expert in Excel
- 3+ years of professional experience with a heavy emphasis on data engineering and analytics, preferably in HR or recruiting
- Knowledge of statistical techniques
- Ability to rapidly create dynamic charts and graphs from complex data using Ad Hoc techniques (such as pivot tables)
- The ideal candidate must demonstrate a strong working knowledge of Systems Administration and application support
- Experience with administering Cloud Computing Products e.g. Amazon Web Services (AWS)
- Innovative collaborator who designs unique analytical tools and methodologies
- Experience with multiple BI platforms such as MicroStrategies, Tableau, OBIEE
- Experience with Shiny web application framework
- Graduate degree in statistics, economics, data science, computer science, or related
30
Business Intelligence Engineer Resume Examples & Samples
- 3+ year SQL and/or other RDBMS experience
- 1+ year of quantitative analysis experience
- Masters' Degree in Supply Chain, Engineering, Computer Science, Mathematics, Physics, or other quantitative discipline
- Strong project management skills and ability to prioritize and deliver initiatives
- Proficiency with supply and demand planning tools
- A track record of creative problem solving tools using software systems and the desire to create and build new processes
- Good knowledge and understanding of cost drivers in the value chain (supply and demand levers)
31
Business Intelligence Engineer Resume Examples & Samples
- BA/ BS Required, preferably in an analytical field - e.g. Computer Science, Economics, Operations, Mathematics, Statistics or equivalent experience
- Strong proficiency at querying relational databases, primarily using SQL
- The ideal candidate has strong analytical and mathematics ability and business acumen
- Must be an effective written and verbal communicator and should be comfortable explaining numbers to senior management
- Ability to identify opportunities to improve performance and efficiencies of existing systems and processes
- Machine learning experience is ideal
- Fluency in a modeling language such as Python scientific computing libraries, Matlab, or R
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Business Intelligence Engineer Resume Examples & Samples
- Implement reports, dashboards and metrics decks which distill down complex business problems in measurable and actionable insights
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership
- Recognize and use advanced analytical techniques to solve business problems
- Bachelor’s degree in Computer Science, MIS, related technical field, or equivalent work experience
- At least 3 years of relevant work experience in analytics, data engineering, business intelligence or related field
- Demonstrable ability in data modeling, ETL development, and Data warehousing, or similar skills
- Demonstrable skills and experience using SQL with large data sets (e.g. Oracle, SQL Server, Redshift)
- Experience with AWS technologies including Redshift, RDS, S3
- 5+ years of relevant experience in a business intelligence engineering role, including data warehousing and business intelligence tools, techniques and technology, and business analysis
- Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, finance, and operations
- Knowledge of Advanced SQL and scripting for automation (e.g. Python, Perl or Ruby)
- Experience with AWS technologies including EMR, Kinesis
- Experience with reporting tools like Tableau, Excel or other BI packages
- Familiarity with statistical models and data mining algorithms
- Experience with Hadoop or other map/reduce "big data" systems and services
33
Business Intelligence Engineer Resume Examples & Samples
- Analyze and solve problems at their root, stepping back to understand the broader context
- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use
- Design, implement, and support a platform providing secured access to large datasets
- Own the design, development, and maintenance of ongoing metrics, reports, analyses and dashboards to drive key business decisions
- Tune application and query performance using profiling tools and SQL
- Bachelor’s Degree in a technical or analytical field (computer science, economics, math, or statistics)
- Proficient in Stata, R, SQL, Python or some combination
- Advanced data analysis skills – e.g. database query construction, data warehousing, regression modeling, and experience in market and business analysis
- Experience designing and implementing scalable ETL design and mappings, database query construction and data warehousing skills
- Ability to make recommendations for new metrics, strategies, and methods to improve measurement and data collection practices
- Expertise in the design, creation, management, and analysis of large and complex datasets
- Great organizational skills and attention to detail; you can prioritize multiple tasks simultaneously without sacrificing the ability to dive deep
- Impeccable customer service focus with a demonstrated desire to exceed expectations; a team player with a solid work ethic
- Master’s degree in a technical or analytical field
- Experience in AWS Technologies (Redshift, S3, etc)
- Ability to educate others on statistical methods
34
Business Intelligence Engineer Resume Examples & Samples
- Produce written recommendations and insights for key stakeholders that will help shape effective marketing strategies worldwide
- Setup and maintain BI tool, reports and dashboards
- Support business with time-critical tactical data analyses
- Collaborate with business stakeholders to improve the teams reporting toolset and insights
- Create the performance sections of weekly, monthly and quarterly business review documents
- Shape and inform key metrics and indicators by which the organization will assess its performance
- Design and execute experiments, and assist in statistical significance and power analysis
- Learn and understand a broad range of Amazon’s data resources and know how, when and which data sources to use
- Deep dive into massive data sets to answer key business questions using MS Excel, Oracle SQL and other data manipulation languages
- Relevant experience in data analysis, research, business intelligence and data warehousing tools, or comparable consumer analytics solutions
- Advanced skills using SQL, ETL and databases in a business environment with large-scale, complex datasets
- Bachelors or Masters degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
- Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses
- Ability to meet tight deadlines and prioritize workloads
- Ability to develop new ideas and creative solutions
- Extreme attention to detail and willingness to roll up your sleeves
- Demonstrated ability to identify and solve ambiguous problems
- Demonstrated high degree of organization and ability to manage multiple, competing priorities
- Experience with statistical modeling techniques such as linear regression
- Strong verbal and written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams
35
Business Intelligence Engineer Resume Examples & Samples
- Work with various stakeholders, to understand business drivers, goals and actionable outcomes using analytics
- Gather data and perform sophisticated analytical exercises
- Support process improvement processes with accurate and meaningful data
- Get involved into Dashboards development & delivery activities, with the requirement of ensuring data quality and life cycle of data
- Working with the functional business leaders to build scalable processes and metrics
- Generate weekly, monthly, and quarterly operational metric reports
- Drive business decision-making based on analytical findings
- Employ data mining, segmentation, and other analytical techniques to capture important trends and create relevant measurement dashboards
- Participate in strategic and tactical planning discussions
- Perform ad hoc analyses
- 5+ years of professional experience in data science, business analytics, finance, business intelligence (BI) or comparable consumer analyst position handling large, complex data sets
- Bachelor's degree in Math, Finance, Statistics, Engineering, or related discipline
- Expert SQL, and Excel skills to access and transform data into insights
- Experience in a scripting language for managing large data sets
- 2+ years of experience in projects involving cross-functional teams
- 3+ years of experience in data mining using databases in a business environment with large-scale, complex datasets
- Demonstrated ability to frame complex analytical problems, pull data, and extract insights that led to tangible results
- 3+ years of experience in driving actionable insights and successful completion of high business impact projects
- An MS Computer Science, Mathematics, Statistics, Finance, Machine Learning or related technical field
- Experience in gathering requirements and formulating business metrics for reporting and analysis
- Experience with big data and object oriented programming languages (python, ruby, etc.)
- Proven track record of strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical team. Summarize key insights for technical and non-technical audiences
36
Business Intelligence Engineer Resume Examples & Samples
- Size, scope, build, and maintain predictive analytics functions, data infrastructures, marketing automation tools, and reporting dashboards for existing and new business initiatives such as prescriptive sales analytics, predictive lead scoring, and marketing automation at scale
- Continuously test and improve predictive models with new data inputs
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and scripting languages
- Interface with business customers, gathering requirements and delivering complete solutions
- Automate reporting and data visualization products to be delivered to marketers, sales representatives, and other non-technical stakeholders
- Identify and automate repetitive reporting and development tasks that save the business tangible costs
- Master's degree in Statistics, Applied Math, Computer Science, Engineering, Finance, or another equivalent quantitative discipline
- Demonstrated development and application of predictive statistical procedures in languages such as R
- Knowledge of scripting for automation (e.g. Python, Perl, Ruby)
- Strong active listener with solid written and verbal communication skills; ability to uncover bigger business opportunities behind seemingly small requests
- Strong ability to work cross-functionally, building and maintaining trust with internal stakeholders
- Experience with marketing funnel or lead generation applications
- 5+ years of experience in a data engineer or BIE role with a technology company
- Experience with AWS technologies including Redshift, RDS, DynamoDB, and S3
- Experience with Salesforce.com
- Experience with Marketo or other email automation platforms
- Experience with clickstream data analysis
- Experience with data visualization tools like Tableau
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Business Intelligence Engineer Resume Examples & Samples
- Bachelor’s Degree or equivalent training/experience in Economics, Statistics, Machine Learning, Data Science, Mathematics, or a related field
- 4 years experience in business intelligence engineering
- Experience optimizing SQL queries to work with complex/large data structures with examples of resulting process improvement/continuous improvements
38
Business Intelligence Engineer Resume Examples & Samples
- Design, development and evaluation of highly innovative models for chargeback recovery operations
- Working closely with software engineering teams to drive real-time model implementations and new feature creations
- Develop solutions to optimize risk management operations
- Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Develop mechanisms to track business activity and providing clear, compelling reporting on a regular basis
- Evaluate and make decisions around the use of new or existing software products and tools for a project
- Draws from a deep group- or department-level business understanding to make decisions. Clearly sees how analysis supports the end user’s ability to achieve business goals
- Understands our technology environment, and the performance and scalability issues associated with certain applications
- Makes recommendations and decisions that impact development schedules and the success for an initiative in the department/group supported
- Code incorporates best practices and is written with little or no guidance from higher level analysts
- Helps business/end-users best leverage analysis results
- May create a new analysis from top to bottom within broadly defined parameters
- Modifies, designs, develops, debugs, and supports more complex analyses
- A MS in CS machine learning, Statistics, Operational research or in a highly quantitative field
- 5+ years of hands-on experience in predictive modeling and analysis
- 5+ years SAS, R or Matlab experience
- 3+ years experience writing complex SQL queries in a business environment
- Experience developing reports using Tableau software
- Exposure to software development process Exposure to software development process
- Analytical mindset and ability to see the big picture and influence others
- Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem
- Strong oral, written and presentation skills combined with the ability to lead group discussions and explaining complex solutions
- Ability to apply analytical, computer, statistical and quantitative problem solving skills is required
- Ability to work effectively in a multi-task, high volume environment
- Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations
39
Business Intelligence Engineer Resume Examples & Samples
- Utilize database technologies, including SQL, ETL and Redshift to design, develop, and evaluate analyses and highly innovative business intelligence tools and reporting
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation
- Experience with Tableau, Analysis Services, MicroStrategy or similar BI Reporting Platform
- Experience in complex data analysis (model creation, what-if scenarios, A/B testing, etc.)
- Proven ability to solve complex quantitative business challenges
- Verbal/written communication & data presentation skills, including experience to effectively communicate with both business and technical teams
- MBA or Master’s in a related field
- Data visualization and dashboarding experience (Tableau preferred)
- Experience in video playback telemetry
- Admin experience with a BI reporting platform
40
Business Intelligence Engineer, Global Resume Examples & Samples
- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the future of FBA
- Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines
- Collaborate with finance and product management as a leader of quantitative analysis
- Analyze and solve business problems at their root, stepping back to understand the broader context
- Develop solutions that utilize the highest standards of analytical rigor and data integrity
- Write high quality code to retrieve and analyze data
- Use data mining, model building, and other analytical techniques to develop predictive models
- Learn and understand a broad range of Amazon's data resources and know how, when, and which to use
- Drive development of quantitative models necessary for evaluation and implementation of new strategies with product managers
- Experience with statistical analysis, regression modeling and forecasting, time series analysis, data mining, financial analysis, dynamic pricing, demand modeling, game theory and customer/product segmentation
- Build scalable database solutions when required
- Participate in periodic reviews with Amazon Executive Leadership team
- MS in a quantitative field such as Economics, Mathematics, Statistics, Computer Science, or Physics
- Knowledge of accounting, financial, operational, and marketing principle
- Master's/Ph.D degree in a quantitative field such as Economics, Mathematics, Statistics, or Computer Science
- 5 to 7 year of professional experience in data science or operations research, working with large-scale, complex datasets
- Professional traits that are not unique to this position, but necessary for Amazon leaders
- Exhibits business judgment
- Dives deep
- Thinks strategically, but stays on top of tactical execution
- Thinks big and has conviction
- Delivers results
41
Business Intelligence Engineer Resume Examples & Samples
- Own the design, development, and maintenance of metrics, reports, analyses, dashboards, etc. to drive key business decisions
- 7+ years work experience in data analysis, applied statistics or econometrics
- Prior experience in design and execution of analytical projects, specifically with large data sets
- Solid background in analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions and develop business cases. Experience partnering with business owners directly to understand requirements and develop to assist in finding patterns and anomalies in customer behavior
- Master’s degree or higher in economics, statistics, mathematics, econometrics, quantitative finance, or operational research, computer science or a similar quantitative field
- Proficiency with statistical tools SAS, R, Python (or similar tools) strongly preferred
- Deep experience with data mining, data analytics, predictive modeling, and advanced modeling techniques
42
Business Intelligence Engineer Resume Examples & Samples
- BA or BS in Engineering, Mathematics, Computer Science, or other technical field
- 5+ years in business intelligence or analysis
- 2+ years of experience with root cause analysis and process design
- Data-driven decision making or quantitative analysis skills (including deep knowledge of Excel and SQL)
43
Business Intelligence Engineer Resume Examples & Samples
- 3+ years of strong quantitative and qualitative experience in Logistics/Supply Chain, Transportation, Engineering or Business experience
- Proficiency with TABLEAU, Microsoft Excel to include making charts, data manipulation, pivot tables, creating macros, and visual basic knowledge
- Able to write SQL scripts for analysis and reporting ( SQL, MySQL)
- Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data
- Familiarity with the processes used in Amazon fulfillment network
- Experience with Amazon Quality operations and/or Standard Work
44
Business Intelligence Engineer Resume Examples & Samples
- Bachelor's degree in Computer Science, Machine Learning, Economics, Operations Research, Statistics or other related field
- Experience conducting analyses on large datasets and developing different types of models for complex projects
- Strong skills in forecasting, machine learning, statistics or optimization
- Proficient with statistical programming tools and languages such as R, Python, etc
- Experience using SQL or a scripting language (Perl, Unix shell) to extract and process data for modeling
- Experience with reporting and visualization tools such as Tableau
- Excellent data presentation skills, including an ability to effectively communicate with both business and technical teams
- Master’s degree in mathematics, science, computer science, or related discipline
- Expert in one or more programming languages (Java, Python, etc.)
- Track record in developing technical requirements documentation and delivering technical programs
45
Business Intelligence Engineer Resume Examples & Samples
- Superior SQL writing skills
- Demonstrated experience as a strong contributor
- Demonstrated track record of effectively communicating complex analysis and insights to senior leaders both verbally and in writing
- Ability to manage and quantify improvement in an area of the company’s business resulting from the application of business analytics, statistical models, and optimization techniques
- Degree in Economics, Statistics, Applied Mathematics, Computer Science, Operations Research, or equivalent
- Experience with web and retail analytics
46
Business Intelligence Engineer Resume Examples & Samples
- Bachelor's or advanced degree in Economics, Mathematics, Statistics, Computer Science, Physics, or related field
- 2+ years of relevant experience in a business intelligence role delivering actionable insights for decision making, or experience in analytics, or comparable business analysis
- Strong hands-on experience in data mining (MS Excel, SQL, ETL, data warehouse) and statistical computing (R, SAS), using databases in a business environment with large-scale, complex datasets
- Experience in Oracle, MySQL and MySQL Server Administration
- Direct experience using business intelligence reporting tools (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.)
- Top notch written and verbal communication skills to succinctly convey key insights from complex analyses
- Master’s degree from an accredited university in a related discipline. Work experience analyzing/defining global supply chain networks and delivering specific business value through data-driven insights
- Experience with at least one scripting language (Python, Perl, Ruby, PHP, etc.)
- Ability to balance and prioritize multiple conflicting requirements with high attention to detail
47
Business Intelligence Engineer Resume Examples & Samples
- Developing and managing the Network Reliability and Scaling Team's metrics & reporting mechanisms with an emphasis on improving customer facing SLAs
- Collect, analyze, and present actionable data to drive team and customer experience decisions at a senior level
- Identify, analyze and solve problems at their root while maintaining focus on the bigger picture
- Learn and understand a broad range of Amazon¹s data resources and know when, how, and which to use and which not to use
- B.S. in Mathematics, Computer Science, Engineering, Statistics, etc
- 3+ years of experience analyzing data in some capacity
- Understanding of statistical methods
- Strong in at least one scripting language (Perl, Python etc.)
- Solid understanding of SQL, OBIEE and other data mining and analysis tools
- Strong communication (verbal and written) and interpersonal skills, team player
- Hands-on experience in Unix command line programming (bash, shell, AWK, grep, sed, etc.)
- Experience working in a large-scale networking environment
- Experience building web based dashboards using common frameworks
48
Business Intelligence Engineer Resume Examples & Samples
- Building, managing and refining next generation data solutions to provide deeper insights about Amazon devices and customers
- Designing, integrating and documenting data warehouse technical components for seamless data extraction and analysis
- Meeting and collaborating with business users on requirements, objectives and measures
- Building dashboards and weekly reporting support
- Developing operational support plans and executing ad hoc customer analysis [Cohort analysis, LTV estimation etc.]
- Bachelor's Degree in Computer Science or related technical field, and 3+ years relevant professional experience
- Proven and deep hands-on knowledge of advanced SQL and databases in a business environment
- Experience in writing and optimizing efficient SQL queries
- Excellent communication skills with the ability to work with business owners to develop and define key business questions and to build data sets that answer those questions
- Previous experience designing and building large data warehouse systems
- Recent experience with big-data using Hadoop, hive, and other open-source tools/technologies
- Experience in data visualization software or general UI experience
- Strong ability to interact, communicate, present and influence within multiple levels of the organization
49
Business Intelligence Engineer, Prime Now Resume Examples & Samples
- Design, implement, and support a platform providing ad hoc access to large datasets
- Model data and metadata for ad hoc and pre-built reporting
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
- Participate in strategic & tactical planning discussions, including annual budget processes
- Leverage large data sets to form recommendations on retail business forecasting, along with web and mobile app product experimentation
- Bachelor’s or advanced degree in Math, Finance, Statistics, Engineering, Computer Science or related discipline
- Proven ability to solve complex quantitative business challenges; experience in the development of pricing analysis is a plus
- Knowledge of data visualization and exploration tools (Looker, Tableau, etc.)
- Strong data extraction, analytical and problem solving skills
- The right candidate thrives in a high energy environment where tactical and strategic activities are expected to be driven in parallel
50
Business Intelligence Engineer, Amazon Prime Resume Examples & Samples
- Interfacing with business customers to gather data and metrics requirements
- One of the primary role for the candidate would be in developing Tableau expertise across the product, business and business BI teams globally and drive adoption
- Supporting strategic data analysis requests
- Bachelor's degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar
- 6+ years of experience as a BI Engineer, Business/Financial Analyst or Systems Analyst preferably in an internet-based company with large, complex data sources, or in an analysis or research role with progressively increasing responsibility
- Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions, develop business cases, and complete root cause analyses
- Master's or higher degree in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering
- Experience using Cloud Storage and Computing technologies such as AWS RedShift, RDS, Hadoop etc
- Familiarity and comfort with statistics and use of statistical applications such as R
51
Business Intelligence Engineer Resume Examples & Samples
- Lead Business Intelligence team for Amazon Family initiatives in the EU
- Own demand generation analytics and reporting which includes proposing, driving creation of and managing metrics and analyses that monitor and improve marketing effectiveness
- Develop and execute standardized reporting and analysis to improve customer behavior knowledge. Retrieve and analyze complex and large data sets to provide insights on customer life cycle and customer engagement. Analyze historical data to identify significant trends and drivers
- Establish scalable, efficient, automated processes for large scale data analysis
- Support critical decision-making processes of the International Amazon Family team
- Perform comprehensive analysis to support ad-hoc reporting requests
- Develop and maintain predictive models for customer attrition and upsell
- Develop A/B test scenarios and monitor results of customer engagement initiatives. Propose recommendations based on the analysis of those results
- Provide support for new functionalities and product launches within the Amazon Family ecosystem. Assist in the definition and delivery of a marketing strategy for these new releases
- Work closely with the Consumables Programmes BI team in Seattle
- Have the obsession to drive a better customer experience through everything that we do here at Amazon
- Bachelor's degree in Mathematics, Engineering, Statistics, Computer Science, Marketing or Finance, MBA preferred
- Several years of experience as a BI Engineer, Business/Financial Analyst or Systems Analyst preferably in an internet-based or a retail company with large, complex data sources
- Proven analytical and quantitative skills, ability to use hard data and metrics to back up assumptions and concepts
- Advanced SQL writing skills and solid experience with Excel and working with databases
- Expert understanding of best practices to handle extremely large volume of data
- Ability to create extensible and scalable data schema that lay the foundation for downstream analysis
- Experience in designing and implementing custom reporting systems for business teams
- A clear passion for learning new BI skills and techniques independently and continuously
- Excellent oral and written communication skills and an ability to influence others internally and external
- Strong ownership and bias for action; ability to internalize goals and work independently to create appropriate action plans for those goals
- Strong problem-solving skills; ability to analyze issues and create appropriate tactical plans
- Meticulous attention to detail: ability to juggle many tasks in parallel without lowering your quality bar
- Ability to succeed in a fast-paced, innovative, and rapidly evolving industry and business organization
- Experience working in a lean, successful start-up or on a new product team where continuous innovation is desired and ambiguity is the norm
- Experience with the following is a plus: OBIEE, Looker, Tableau, Cognos, Microstrategy
52
Business Intelligence Engineer Resume Examples & Samples
- As part of the HR Analytics team, identify the critical HR metrics/reports that measure HR efficiency/effectiveness and create client facing dashboards to facilitate decisions
- Perform proactive diagnostic analysis on the various HR measures and surface meaningful insights to the Business and HR leaders
- Define, create, and monitor success measures/ regular metrics on various Business Client deliverables such as Talent Management Initiatives, Operational Business Reviews, Performance Cycles, and client-focused interventions and insights
- Partner with the corporate HR Business Intelligence team to share the international needs and identify opportunities to collaborate on common areas
- 5+ years of HR experience in a fast-paced environment. Exposure to 2+ years HR Analytics and HR Process Improvement related initiatives
- Ability to work in a highly ambiguous environment and interest in supporting a global team
- Ability to handle responsibilities independently, while exercising good judgment in problem solving and keeping team members adequately informed
- Ability to work efficiently and accurately in time sensitive matters and organized to manage and track multiple priorities simultaneously – grace under pressure and the ability to switch gears at a moment’s notice
- Unwavering commitment to maintaining confidentiality and a high level of integrity, discretion and trustworthiness
- Desire and aptitude for learning new concepts quickly
- Knowledge and expertise with SQL, RedShift or OLAP
- Knowledge of data warehousing concepts
- Knowledge and direct experience using business intelligence reporting tools. (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, Datanet etc.)
- Master’s degree or MBA
- Confidence in dealing with senior level staff and ability to communicate in a crisp, concise and professional manner
- 2- 3 years of Project Management experience with experience in scoping, leading and delivering moderately complex projects
- Applied knowledge of statistical tools/processes to identify data trends, estimate statistical relevancies, and recommend data driven proposals for various business issues
53
Business Intelligence Engineer Resume Examples & Samples
- Bachelor’s degree in Computer Science,Information Technology, MIS, or equivalent
- 3+ years Supply Chain experience
- 1+ year experience Supply Chain planning
- End to end knowledge of Supply Chain processes and principles
- Expert level MS Excel skill
- Experience using scripting languages such as R, Ruby, or Python
- 1+ year experience focused on Linux
- Intermediate SQL knowledge
- Advanced degree in Computer Science, Software Engineering, MIS or related field
- Exceptional analytical skills and experience working with large-scale, complex datasets, advanced SQL and ETL experience
- Communication skills for both a technical and business audience
54
Business Intelligence Engineer Resume Examples & Samples
- Retrieving and analyzing data using SQL, Excel, and other data management systems
- Reactively and proactively developing and executing analyses that provide important insight into the business
- Designing and implementing self-service reporting solutions that enable stakeholders to manage the business and make effective decisions
- Monitoring existing metrics and partnering with internal teams to identify process and system improvement opportunities
- Bachelor’s degree or higher in Business, Economics, Engineering, Statistics, Mathematics or a related field
- 5 + years of relevant experience
- Strong business acumen
- Advanced knowledge of SQL, Data modeling and ETL
- Fluency in standard software (including advanced Excel)
- Strong insights on Oracle, Redshift, MS SQL server DBs/related DBs
- Experience executing on basic database engineering (e.g., building tables (OLAP/OLTP, ETL tasks)
- Building reports using Tableau/other reporting tools
- Experience driving small to medium sized projects
- Excellent written and oral communication skills including an ability to communicate with all cross functional teams (technical and business)
55
Business Intelligence Engineer Resume Examples & Samples
- Bachelor's degree in Bachelor’s Degree in Business, Engineering, Statistics, Computer Science, or Mathematics or a related field, or equivalent experience
- 3+ years relevant work experience in data analysis, applied statistics or econometrics
- Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions and develop business cases. Experience partnering with business owners directly to understand requirements and develop to assist in finding patterns and anomalies in customer behavior
56
Business Intelligence Engineer Resume Examples & Samples
- Bachelor’s Degree from an accredited university or 2+ years Amazon experience
- 5+ years hands on Business Intelligence experience
- 3+ years experience supporting cross functional business units by designing and developing reports using SSRS, Tableau, or OBIEE
- 3+ years creating complex database queries and stored procedures primarily using Microsoft SQL Server
- Experience defining business requirements and managing projects
- Curiosity and eagerness to try new things
- Experience supporting in e-commerce operations, for example Vendor or Retail Operations, Transportation, Fulfillment, or Process Improvement
- 1+ years hands on Python experience
57
Business Intelligence Engineer Resume Examples & Samples
- Design, implement, and support a platform providing ad-hoc access to large datasets
- Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business
- Bachelor’s degree in Computer Science Mathematics, Statistics, Finance or related technical field
- Knowledge and direct experience using at least one industry standard business intelligence reporting tool
- Excellent knowledge of Oracle SQL, Tableau, Excel and OLAP
- Knowledge of developing software
- Understanding of basic software security concepts
- M.B.A. or other advanced degree
- Management and leadership experience would be an added bonus
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Business Intelligence Engineer Resume Examples & Samples
- Build models and perform analysis on market impact of new or existing policies, as well as, the operations that support the enforcement of such policies
- Contributing to the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
- Studying key insight trends, using techniques such as machine learning to surface anomalies that could be related to risk or abuse
- Provide actionable recommendations to key stakeholders and understand and meet their analytic needs on a continuous basis
- Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use
- Developing and proposing new metrics, recommending strategies to stakeholders to improve business results, and working across our organization to make actionable intelligence available to business stakeholders
- Responding with urgency to high priority requests from senior business leaders
- The ideal candidate actively seeks to understand Amazon’s core business values and initiatives, and translates those into everyday practices
- Work with developers to understand user requirements for database migrations to production databases
- B.S. degree in mathematics, statistics, computer science, operations research, economics or a similar quantitative field
- 5+ years experience working with large-scale datasets, databases, infrastructure components, ETL and reporting/analytic tools
- Proficiency in SQL, ETL, and a computational statistics language such as Python or R
- Experience performing various performance tuning activities at the both database level as well as ETL
- Ability to use a major programming (e.g. Java/C) and/or a scripting language (Python, Perl, Unix shell) to process data for modeling
- Strong project management skills, including work prioritization, planning, and task delegation
- Ability to effectively communicate (both written and verbally) technical information and the results of analysis at all levels of the organization
- Conceptual understanding of Computer Science fundamentals in object-oriented design
- Conceptual understanding of Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
- Working knowledge of Computer Science fundamentals in data structures
- Previous working experience with basic web design technologies such as Rails, CSS, Javascript, jQuery and Ajax is preferred
- Experience sourcing data, creating and automating dashboards in Tableau is preferred
- Ability to perform quantitative analysis using Python scientific computing libraries
- Strong verbal/written communication & data presentation skills, including ability to effectively communicate with both business and technical teams
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Business Intelligence Engineer Resume Examples & Samples
- Perform complex data analysis to identify different opportunities to reduce fulfillment costs or improve CX and set priorities to improve them
- Draft proposals for new concepts, improvement plans, 3 year strategy and outlook
- Design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance
- Build infrastructure and implement maintenance strategy for internal datasets to support swift analyses to answer critical business questions
- 4+ years of experience as a Data or BI Engineer/Analyst dealing with large complex data scenarios
- Familiarity with supply chain management concepts - planning, forecasting, optimization, and logistics - gained through work experience or graduate level education
- Expert in data extraction experience using SQL. Strong ETL experience and basic/intermediate familiarity with Linux
- Beginner or intermediate skills with Ruby, Perl, Python or at least one similar scripting language. Ability to understand and read scripts
- Strong understanding of BI technologies and their application including database warehousing and dash-boarding experience
- Experience on at least one data visualization tools (e.g. OBIEE, Tableau, QlikView)
- BS in Applied Mathematics, Statistics, Economics, Computer Science, Operations Research, Industrial Engg. or other quantitative disciplines
- Graduate degree in Industrial Engineering, Logistics, or another quantitative field preferred. Undergraduate degree or experience in computer science or another technical field is highly desired
- Technical aptitude and familiarity with the design and use of complex supply chain software systems
- Experience working effectively with software engineering teams. Analysts are not expected to write code, but it helps to be able to read it
- Experience communicating with senior management (VP level decision makers) as well as with colleagues from computer science, operations research, and business backgrounds
- Strong individual contributor who can work with minimal direction and oversight
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Business Intelligence Engineer Resume Examples & Samples
- BA/BS in Information Systems, Statistics, Mathematics, Computer Science, Economics or similar field
- Expert knowledge of SQL and Microsoft Excel (prior data mining experience)
- Create and monitor existing key performance metrics (KPI’s), analyze data, and partner with other internal teams
- Prior experience with one of the statistical tools like R, SAS, STATA
- Programming language such as Python
- Master’s Degree in Information Systems, Statistics, Mathematics, Computer Science, Economics or similar field
- Experience with Tableau, D3.js, Access
- Experience driving projects of various sizes
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Business Intelligence Engineer, Woot Resume Examples & Samples
- Work closely with business stakeholders to understand business issues and develop the data driven insights to drive the business’ direction
- Understand that ad-hoc analysis is part of the landscape and be prepared to structure relevant analysis and demonstrate a sense of urgency in delivering insights to the leadership team
- Dive deep into data by leveraging SQL, MS Access, Excel, and other data manipulation tools and presentation tools (e.g. Tableau, etc.)
- Track general business activity and provide clear, compelling reports and presentations on a regular basis
- Develop and propose new metrics, recommend strategies to stakeholders to improve business results, and work across our organization to make actionable intelligence available to business stakeholders
- Contribute to the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
- Work in a closed loop manner with BI technical resources to improve the effectiveness of BI tools and infrastructure
- Interact with software and business groups to develop an understanding of their business requirements and operational processes
- Bachelor's degree in Computer Science, Math, Finance, Statistics or related technical field
- 5+ years of professional experience in analytics, business analysis or comparable analytics position, handling large, complex data sets
- Proficiency in SQL and Excel
- Basic scripting using programming languages such as Python or C++
- Experience applying statistical techniques to real-world data
- Excellent written, oral communication and data presentation skills
- Comfort with or exposure to basic statistics: significance tests, regression
- Ability to quickly adapt to changing priorities and generate innovative solutions in an extremely fast-paced environment
- MS in Applied Mathematics, Statistics, Computer Science, or other technical field. MBA also desired
- Develop websites using (RUBY, HTML, PHP, Java, AJAX) which would allow users throughout the Company including the leadership team the ability to graphically understand issues the team is seeing as well as action items to solve these issues
- Experience in data mining (SQL, ETA, data warehouse)
- Energy and willingness to formulate, test, and discard or revise many hypotheses
- Experience working with business intelligence software like Tableau
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Business Intelligence Engineer Resume Examples & Samples
- Interface with all internal related and ancillary teams to deliver data and analytics as requested
- Model data and metadata to support ad-hoc and pre-built reporting
- Drive operational excellence for data ingestion, transformation and publication to ensure confidence in the systems we build
- Master's degree in Computer Science, Engineering, Math, Finance, Economics, Statistics or equivalent work experience
- At least 3+ years of experience in a similar role
- Experience with consumer research, content analytics, or marketing performance analysis
- Expertise with SQL and experience with ETL and OLAP processes
- Experience using business intelligence reporting tools. (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.)
- Experience in AWS Technologies (Redshift, EMR, S3, etc)
- Experience in complex data cleansing, data validation and master data management
- Experience with Hadoop, Hive or Pig
- Experience with Python, Javascript, VB script, or Perl
- Experience with statistical analysis and R
- Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
63
Business Intelligence Engineer Resume Examples & Samples
- Work closely with business customers, e.g,. Retail Instock Managers, to identify and address forecasting issues and opportunities
- Analyze forecasting metrics to uncover trends and find root causes of forecast inaccuracy
- Build metrics, reports and dashboard to analyze key inputs to the forecasting system (e.g., demand, price, promotions) and key outputs including forecast accuracy and variance, and impact on downstream business metrics
- Provide business feedback to guide the Forecasting Science, Product Management and Software Development teams
- Develop and deliver user training on forecasting concepts and systems
- 5+ years work experience including business analysis, consulting and project management
- Experience with modeling and analysis including statistical analysis, operations research and management science and data mining
- Extensive experience with SQL, Data Warehouse, ETL, Scripting languages
- MBA is a plus
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Business Intelligence Engineer Resume Examples & Samples
- Apply Statistical and Machine Learning methods to specific business problems and data
- Analyze forecast accuracy metrics to uncover trends and to find root causes of forecast inaccuracy
- Generate automatic scripts to identify anomalies in the forecast
- Build metrics to analyze key inputs to the forecasting system
- Build metrics to measure the output from the forecasting system: for example forecast distribution accuracy and impact of forecast accuracy on the overall Supply Chain
- Analyze data, run computational experiments, and fine-tune model parameters for the new forecasting models built by machine learning scientists
- Provide analytical support to business customers
- Provide business feedback to machine learning scientists and the Forecasting team
- Attend conference calls with business customers so as to educate them on the technical system
- A BS or MS in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or Economics
- 3+ years of relevant working experience in an analytical role involving data extraction and analysis
- Experience with SQL, UNIX, Hadoop/Hive
- Experience with a high-level modeling language such as MATLAB, R, Stata, etc
- Fluency in a software programming language such as Python, C++, Java, etc
- Experience with large data sets (10 million+ rows)
- A natural curiosity and desire to learn
- Ability to convey rigorous mathematical concepts and considerations to non-experts
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Senior Mgr Business Intelligence Engineer Resume Examples & Samples
- Bachelor’s degree in: Supply Chain Logistics, Transportation, Engineering, Computer Science, or similar field
- Proficiency with TABLEAU, Microsoft Excel/Access. Adept at data manipulation and presentation, and analysis
- Financial background is a plus
66
Business Intelligence Engineer Resume Examples & Samples
- 5+ years of experience with developing .NET Web applications in C# and XML
- 5+ years of experience with developing database connectivity, including ODBC, JDBC
- 3+ year of experience with SQL Server Integration Services
- Specialty in developing data warehouses based on large-scale (200 Gigabytes to multi-terabytes) source databases
- Significant experience in the process of extracting data from multiple sources including a data warehouse environment
- Experience in creating data warehouse frameworks and performance tuning of a data warehouse
- Capable in performance optimization and tuning with reporting applications/solution
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Business Intelligence Engineer Resume Examples & Samples
- Engage with HR leaders and Business Analysts to gather requirements to design and develop analytics in support of talent acquisition, talent management, and organizational development initiatives
- Apply data analysis and research skills to identify key indicators and develop predictive modeling for key employee lifecycle events
- Lead the development and design of standard operational dashboards
- Establish scalable, efficient, automated processes for complex, large scale data analyses
- Provide ad-hoc or special project data analysis to HR and business leaders to identify opportunities and to inform strategic organizational and talent management decisions for supported business units
- Write high quality code to gather and manage large datasets from multiple sources, transforming or cleaning data as necessary
- Mentor HR Business Analysts inside of the organization in technical and professional skill development
- Partner with central teams to influence HRBI strategies representing the needs of the business units you support
- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use and will recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- 3+ years’ experience working with large-scale, complex datasets with an emphasis on data engineering and analytics, preferably in business operations analytics or HR Analytics
- Knowledge of advanced statistics and experience with statistical data analysis systems (scikit-learn, Pandas, R etc.)
- Experience designing and developing business facing analytics, dashboards, and data visualizations in BI platforms such as Tableau, MicrosStrategy, OBIEE or comparable tool
- Experience with data mining and creating/optimizing operational analytics and data models
- Experience in using SQL to analyze data in a database or data warehouse and be able to use a major programming (e.g. Java/C) and/or a scripting language (Python, Ruby, Perl) to process data for modeling
- Master’s degree or higher a quantitative field such as Mathematics, Statistics, Operations Research or Computer Science
- Strong communication and data presentation skills, experience analyzing data and communicating the results to business leaders
- Experience using statistics and research methods to evaluate hypothesis and develop predictive models
- Experience working with a wide range of predictive and decision models and data mining techniques, as well as tools for developing such models (linear/logistic regression, decision trees, K-means, DBSCAN, Support Vector Machine, Naive Bayes etc.)
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Business Intelligence Engineer Resume Examples & Samples
- Bachelor's degree in Math/Statistics/Engineering or other equivalent quantitative discipline
- 3+ years in relevant experience as data scientist, software engineer, business intelligence engineer, or equivalent
- Demonstrated development and application of predictive statistical procedures in languages such as R, SAS, SPS
- Experience data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies
- Strong active listener with solid written and verbal communication skills
- Ability to work cross-functionally, building and maintaining trust with internal stakeholders
- MBA or Master’s degree in an analytical field (or equivalent experience)
- Advanced knowledge of Oracle BI tools, MySQL, Linux/UNIX
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Knowledge and direct experience using business intelligence reporting/visualization tools (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.)
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Business Intelligence Engineer Resume Examples & Samples
- Basic understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, Version Control and Office software
- Strong programming skills, relational database skills with expertise in Advanced SQL and PL/Sql. Skills in Shell Programming
- Experience in Business Intelligence and Data warehousing concepts and methodologies
- Experience in ETL, presentation layer and reporting design strategies. Ability to support custom built ETL, auditing and scheduling programs
- Ability to define and solve logical problems with right solutions
- Analytical capabilities to slice and dice data and display data in reports for best user experience
- Demonstrated ability to review business processes and translate into BI reporting and analysis solutions
- Ability to follow Software Development Lifecycle (SDLC) process and should be able to work under any project management methodologies used
- Ability to follow best practices and standards
- Ability to identify BI application performance bottlenecks and tune
- Expertise and experience in BI Tools – Informatica, Business Objects, OBIEE, OBIA, Tableau and QlikView
- Ability to programmatically process data in flat files, transform and load into Data warehouse
- Quick learner of any new technologies OR business processes
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Business Intelligence Engineer Resume Examples & Samples
- Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs
- Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions
- Conduct ad hoc data analysis and data quality investigations
- Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools
- Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data
- Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards
- Bachelor's Degree in Computer Science or a related technical field, and solid years of relevant experience
- 5+ years of experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures
- 5+ years of experience with relational and star schema data modelling concepts with a solid knowledge of SQL and PL/SQL
- 2+ years of large IT project delivery for BI oriented projects
- 2+ years of working with very large data warehousing environment
- Experience in designing and delivering cross functional custom reporting solutions
- Experience with Massively Parallel Processing (MPP) databases - Redshift (preferred), Teradata
- Experience with an enterprise class BI tool like MicroStrategy(preferred), Business Objects
- Experience with reporting tools - Tableau (preferred), OBIEE
- Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders
- Proven ability to meet tight deadlines, multi-task, and prioritize workload
- A work ethic based on a strong desire to exceed expectations
71
Business Intelligence Engineer Resume Examples & Samples
- Experience in advanced business/customer analytics
- Top notch written and verbal communication skills to convey key insights from complex analysis in summarized business terms
- MBA / Master’s / Ph.D degree
- Experience working within a high-growth technology company
- Experience rapidly growing an organization and attracting, hiring and maintaining top talent
72
Business Intelligence Engineer Resume Examples & Samples
- Drive the BI and data reporting roadmap, prioritizing long-term and short-term initiatives that generate or automate data reporting needs
- Dive deep into our data workflows to understand trends and issues and recommend approaches to ensure efficient mitigation
- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written recommendations that will help shape the direction of improving the customer experience
- Be able to synthesize metrics across distributed work sites
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive data deliverables
- Respond with urgency to high priority requests from scientists, managers, and partner product teams
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for metrics
- Bachelor's degree in business or a related field
- 3-5 years of experience in a relevant field such as data engineering, speech and language processing, product management, project management or business analysis
- Experience in SQL, DJS, Excel, including pivot tables and v-lookups
- Experience using data to support business decisions
- 5+ years of speech and/or text data handling experience preferred
- Proficiency in statistical analytics tools: R, SAS, or similar tool
- Experience with python, pySpark, or other scripting tools
- Strong communication skills to convey key insights from complex analysis in summarized terms
- Spoken language systems experience a plus
- Exceptional interpersonal and communication skills, both written and verbal
73
Associates Business Intelligence Engineer Resume Examples & Samples
- Advanced experience with SQL
- Experience in providing reporting solutions to solve business needs by leveraging data warehouse data
- Experience in Predictive Analytics and Statistics
- Experience with both relational and NoSQL databases
- Data modeling skills
- Experience with risk detection and management
- MS/MBA/PhD specializing in statistics and machine learning
- Experience working on distributed platforms and tools like Hadoop, Pig, Hive
- Knowledge of tools like Tableau, R, SAS
- Experience in scripting languages like Python, Perl, Shell script
- Knowledge of Java, C or C++
- Foreign language fluency is a plus (Chinese, Japanese, French, Spanish, Italian, German, or Portuguese)
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Business Intelligence Engineer Resume Examples & Samples
- Automate data extraction from multiple sources to improve the efficiency and timeliness of reported data
- Create Global centralized Dashboards and reports on people metrics of the business
- Perform regular system audits to ensure complete and accurate reporting of data/ metrics
- Create advanced SharePoint tools that will help in Project planning and tracking of various projects
- Generate scheduled and ad hoc reports to support the Recruiting Leader needs
- Work closely with corporate central teams like Recruitment analytics, HR Analytics and Ops, HRIS BI team and stay current
- 3+ years’ work experience in relevant field
- Very strong experience with Tableau and similar visualization tools
- Experience building complex data models and automating data extraction from multiple sources
- Experience working with diversity and inclusion data or a passion in the subject matter
- Impeccable customer service with a demonstrated desire to exceed expectations; a team player with a solid work ethic
- Experience with data extraction using SQL; ad-hoc reporting; manipulation of raw data; creation and updating of pivot tables and metrics presentations
- Ability to identify and resolve issues independently in a rapidly changing environment; taking initiative in ambiguous circumstances
75
Business Intelligence Engineer Resume Examples & Samples
- 3+ years hands on Business Intelligence experience
- 1+ years experience supporting cross functional business units by designing and developing reports using SSRS, Tableau, or OBIEE
- 1+ years creating complex database queries and stored procedures primarily using Microsoft SQL Server
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Business Intelligence Engineer Resume Examples & Samples
- Serve as a key member of the AWS Training & Certification Infrastructure team by supporting all reporting requests from operations, helping procure new data streams (from both internal and external sources) and ultimately turn this data into actionable business intelligence
- Conduct analysis, perform analysis and prototype new metrics that will be shared with Management, the Operations Team and executive stakeholders
- Leverage internal tools, including Tableau Server and AWS Redshift, to deliver data-driven recommendations, tools, dashboards, reports, and findings to internal stakeholders
- Manage numerous requests concurrently and strategically, prioritizing when necessary
- Background in computer engineering or information systems
- 3+ years of experience in building and leveraging scalable analytical data warehouses (i.e., SQL, dimensional data modeling, experience building star-schemas, etc.)
- Experience with ETL tools and process
- 2+ years of experience in a modern programming language (Java, Ruby etc.),
- Ability to distill problem definitions, models, and constraints from informal business requirements
- Strong verbal and written communications skills are a must, as well as leadership skills
- Experience developing custom ETL solutions
- Knowledge of Learning Management Systems, course evaluation tools and related processes
- 2+ years of experience with Tableau Server Administration or comparable tools or ERP systems
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Business Intelligence Engineer Resume Examples & Samples
- Work with business customers, gathering requirements and delivering complete BI solutions
- Work with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a major programming and/or scripting language to process data for modeling
- Lead customer and marketing utilization research projects to better understand how our customers are using our product
- Recognize and adopt standard methodologies in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Measure user experience metrics. Propose and implement projects to improve these metrics and help to drive customer experience enhancement projects
- Effectively communicate with various teams and partners, raise technical and managerial issues at the right time and resolve conflicts
- Ability to work across teams, building and maintaining trust with internal partners
78
Business Intelligence Engineer, Prime Resume Examples & Samples
- Ad hoc analyses (e.g. what’s the conversion rate of customers acquired through a specific associate, promo post-mortems, checkout vs other signup locations’ retention rate)
- Forecasting
- Statistical modeling – ability to parse out whether KPI changes are within a normal deviation based on WoW, MoM, and YoY trends
- Requirements gathering and translating business needs to technical solutions. Work with technology and BI teams to implement new reporting outputs
- Analysis of findings and trends using statistical and/or financial analysis, modeling, process documentation, profitability analysis, etc. Use data to tell the story of “why” in customer behavior. Share recommendations to drive high-impact business decisions for quality acquisition. Analysis may include recurring reports on a weekly/monthly/ad-hoc level
- Identifies and recommends potential data sources; compiles/mines data from a variety sources and maintains data quality and cleanliness
- Role is embedded on a new, dedicated business team and requires high level of ownership and entrepreneurial spirit
- Bachelor's degree required (majors in Business, Engineering, Statistics, Computer Science, Mathematics or related field strongly preferred)
- 3+ years of relevant experience in data analysis, report building, research or similar work
- Excellent written and oral communication skills, including an ability to communicate across business areas
- Experience with web metrics and analysis (presentations, click through, take rates)
- Experience with user level analyses (read larger data sets)
- Advanced SQL skills (Oracle and Redshift) (analytical functions), ETL, Data Warehousing
79
Business Intelligence Engineer Resume Examples & Samples
- Own the design, development, and maintenance of metrics, reports, analyses, dashboards, etc. which distill complex business problems into measurable and actionable insights
- Define requirements for reporting supplier behavior, and technical performance metrics, and work with technical teams and product managers to measure, report, and take action
- Present findings to partner teams and organizational leadership
- Derive insights from customer feedback and usage data and provide input into new product development
- Design, implement and support a scalable and reliable infrastructure for Data Warehousing, BI and Analysis for the benefit of Social Responsibility business partners
- Develop pragmatic analyses and choose applicable solutions that make valuable contributions to Amazon’s businesses; and
- Bachelor’s degree in mathematics, statistics, computer science or a similar quantitative field
- 3+ years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecast, and/or optimization models
- Strong proficiency in using SQL to analyze data in a database or data warehouse and be able to use a major programming (e.g. Java/C) and/or a scripting language (Perl, Unix shell) to process data for modeling
- Ability to create usable tools in Tableau or similar program that allows others to fish for themselves; and
- Experience with AWS solutions such as EC2, DynamoDB, and Redshift
- Expertise in statistical analysis packages such as R, SAS, and Matlab
- Advanced knowledge and expertise with SQL, Linux, Oracle, and OLAP and data warehousing concepts
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets; and
- Knowledge and direct experience using business intelligence tools (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS, Cubes, etc.)
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Business Intelligence Engineer Resume Examples & Samples
- Analyze performance of system decisions to identify and correct problems (system or business) that result in incorrect or suboptimal inventory management decisions
- Explain system performance and capabilities to Retail’s business leaders
- Ensure that the system is producing the expected inventory management outcomes, and explain variances to plan that may arise
- Identify opportunities to optimize inventory management decision-making
- Create innovative strategies to reduce the level of human intervention required to operate, maintain and optimize our inventory management systems
- Document and present new inventory management system strategies
- Develop key metrics and performance indicators to evaluate overall system performance
- Work with the Product Management and Software teams to develop the features for the growing Amazon business
- Participate in business performance reviews to understand trends, develop action plans, and share business plans and performance
- 3+ combined years of business analysis, data analysis and/or process management experiences
- Degree in Engineering, Mathematics, Business, or Computer Science
- Very strong analytical and problem-solving skills
- Ability to influence teams of business managers, research scientists, software developers, and product managers to innovate and to deliver against aggressive targets
- Excellent English written and verbal communication skills
- 5+ years of strategic supply chain or logistics/operations process analysis experience in a fast-paced environment
- Experience or good knowledge/understanding of system and software engineering processes
- Strong track record in converting data analysis into tangible and significant real-world changes
- Experienced working in a fast-paced, high-tech environment (preferably software development) and comfortable navigating conflicting priorities and ambiguous problems
- Demonstrated experience incubating new technology while working closely with research scientists, software developers, and technical professionals from product conception to implementation
- Proven written and verbal communication skills to convey complicated processes and systems to business partner
- Competence in any of the languages used in Amazon’s worldwide business and technical teams (e.g. French/German/Italian/Spanish/Mandarin/Japanese etc.)
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Business Intelligence Engineer Resume Examples & Samples
- For more information on AWS, please visit http://aws.amazon.com **
- 5+ years work experience with Business Intelligence delivery, Data Modeling, and ETL
- Experience with MicroStrategy, Tableau, or Business Objects, with a strong preference for MicroStrategy expertise
- Expert in writing SQL scripts
- Experience working with very large data warehouses and modeling for data warehouse applications
- Solid Linux skills
- A passion for technology. We are looking for someone who is keen to leverage their existing skills while trying new approaches
- Experience with Redshift (or another MPP database such as Netezza, Teradata or Vertica) is strongly preferred
- Experience with Map Reduce frameworks such as Hive/Hadoop or Spark is desirable
82
Business Intelligence Engineer Resume Examples & Samples
- Bachelor’s degree in Mathematics, Statistics, Computer Science or in another related field
- 4+ years of hands-on relevant , technical industry experience
- Able to write SQL scripts for analysis and reporting
- Ability to dive deep into complex technical problems and drive change
- Excellent problem solving skills with a strong attention to detail
- Master’s degree in Mathematics, Statistics, Computer Science or in another related field
- Previous work with fraud analytics
- Understanding of Statistical Analysis, modeling and Machine Learning techniques
83
Business Intelligence Engineer, Alexa Resume Examples & Samples
- Interface with business customers to gather data and metrics requirements
- Own the design, development, and maintenance of ongoing metrics and reporting to deliver key business insights
- Propose/prioritize changes to reporting and creating additional metrics and processes based on program changes and customer requirements
- Collaborate with engineers to implement the design of the data architecture
- Own and perform individual deep dive analyses on our customers, including communicating results and implications to business leaders
- Partner with and support analysis of the team’s economist
- Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets
- SQL and Excel skills
- 3-5 years of years of relevant work experience in analytics, data engineering, business intelligence, or related field
- Advanced degree in Math, Finance, Statistics, Engineering, Computer Science or related discipline
- Proficiency with statistics and use of statistical applications such as R
84
Business Intelligence Engineer Resume Examples & Samples
- Working with technical and non-technical customers to design experiments and communicate statistical results
- Working with Research Scientists developing new statistical techniques in sampling, experimental design and analysis to capture new use cases and improve fidelity
- Collaborating with our dedicated software team to create production implementations for large-scale data analysis
- Developing and owning key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business
- Deep dives on experimental results to yield additional insights and guidance for future experiments
- Creation and maintenance of dynamic automated reports that leverage visualization to aid critical decision making
- Driving training sessions with internal customers to facilitate efficient usage of experimentation and standardize results reporting
- Master's Degree in statistics, biostatistics, computer science, or related field
- Problem solving and analytical abilities
- Proficiency in statistical software such as R, S-plus, SAS, STATA etc
- Strong verbal and written communication skills and an ability to work in a team environment
- Experience with AB testing frame work and case control experiment design
- Experience with observational study design and analysis
- Experience with scripting languages and functional programming
- Experiment with applying machine learning, statistical modeling or related analytic techniques
- Experience with MapReduce concepts and Hadoop / Elastic MapReduce
85
Business Intelligence Engineer Resume Examples & Samples
- Own and architect the data model used daily by dozens of analysts and hundreds of business stakeholders
- Partner with analysts, engineers, and business stakeholders to understand data needs
- Develop across our full ETL pipeline, from logging through to delivering data products to end users
- Scale complex data processing and business logic on a petabyte scale data warehouse
- Develop tools supporting self-service data pipeline management
- Automate queues and SLAs for our most important data pipelines
- Prototype new BI tools to unlock new insights for decision makers
- B.S. in a computer science or other technical field
- 3+ years industry experience building ETL and data modelling
- Expertise in SQL query performance optimization (Redshift, Postgresql) and big data frameworks (Hive, MapReduce)
- Development experience on ETL tooling in a scripting language (Python preferred)
- Able to communicate complex technical topics with ease
86
Business Intelligence Engineer Resume Examples & Samples
- Produce written recommendations and insights for key stakeholders that will help shape effective advertising strategies worldwide
- Support the business with time-critical tactical data analyses
- Collaborate with business stakeholders to improve the team’s reporting toolset and insights
- Design and execute experiments and assist in statistical significance and power analysis
- Deep dive into massive data sets to answer key business questions using MS Excel, Redshift, Tableau and other data manipulation languages
- Bachelors or Masters degree in Business, Engineering, Statistics, Computer Science, Mathematics or a related field
- Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases and complete root cause analyses
87
Business Intelligence Engineer Resume Examples & Samples
- Seek opportunities to inject advanced analytical techniques into Fulfillment by Amazon’s current environment
- Partner across the business to implement optimal analyses that drive to the root of the issue and create actionable insights or paths to predictive modeling opportunities
- 3+ years of experience with data analysis and predictive modelingMS in Math, Statistics or related field
- 3+ years of experience with data analysis and predictive modeling
- Background in Engineering, Statistics, Mathematics, Computer Science, or related field
- Experience with Hadoop or NoSQL Database & Technology
- Knowledge of AWS Infrastructure including S3, Redshift and RDS
- Proven ability at looking at solutions in unconventional ways. Sees opportunities to innovate and can lead the way
- Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with technical teams
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Business Intelligence Engineer Specializing Resume Examples & Samples
- Develop websites using Ruby on Rails which would allow users throughout operations the ability to graphically understand issues the team is seeing as well as action items to solve these issues
- Advanced understanding of programming languages like Ruby on Rails, HTML, Javascript, SQL
- Experience with Oracle, MySQL
- Proficiency with Microsoft Excel to include making charts, data manipulation, creating macros, and visual basic knowledge
- Bachelor's degree from an accredited university or 2+ years Amazon experience
- Ability to design and build to the functional scope of each system
- Ability to develop and drive the implementation of new solutions with members of the Prime Now Operations team and other business functions across the network
- Bachelor’s degree in Computer Science
- Experience in mining data from Amazon databases
- Advanced understanding of data bases (querying and analyzing) such as SQL, MYSQL, Access, Exception Based Reporting, etc
89
Business Intelligence Engineer, FBA Fees Resume Examples & Samples
- Drive development of quantitative models necessary for the evaluation and implementation of new pricing strategies
- Partner with finance and product management as a leader of quantitative analysis
- At least 2 years of relevant experience with advanced forecasting, optimization and/or machine learning techniques
- At least 4 years of relevant experience with advanced forecasting, optimization and/or machine learning techniques
- Prior experience with pricing models
90
Business Intelligence Engineer Resume Examples & Samples
- Design, implement and support a platform that can provide ad-hoc access to large datasets
- Model data and metadata to support adhoc and pre-built reporting
- Interface with business customers, gathering requirements and delivering complete BI solutions
- Tune application and query performance using Unix profiling tools and SQL
- BS or MS in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science or Economics or related technical field or 2+ years’ experience in business analysis, consulting and or project management
- Knowledge of SQL and Unix
- Good work experience in using SQL and databases in a business environment
- Oracle and Unix skills required
- Scripting languages like perl and Unix shell scripts
- Experience must involve design and development of large-scale data structures for business intelligence analytics, using ETL/ELT processes, data modeling, SQL, and Oracle
91
Business Intelligence Engineer Resume Examples & Samples
- Ownership of development projects and operations processes across various layers of our data platform (SQL/COSMOS)
- Lead a v-team to ensure timely, accurate and within scope delivery of all sprint items
- Help our user base maximize the value of our BI solutions through readiness and hand-on support
- Establish and operate data quality assurance processes
- Creative thinking on how to gain maximum efficiency and throughput across all engineering activities
- Strategic thinking and planning on how we address and support business needs using our latest and greatest BI technology
- BA/BS in computer science, mathematics, statistics, or other technical/quantitative discipline
- At least 3 years of experience working in BI development including data warehousing, analytics and reporting within a business function such as marketing, finance, sales, operations, etc
- At least 3 years of experience working with or managing technical BI/database development resources
- Strong familiarity with the Microsoft BI stack including SQL Server, OLAP, PowerPivot, and Excel is required
- Azure and COSMOS experience highly valued
- Familiarity with VSO / TFS preferred - Knowledge of Microsoft data assets/systems a strong plus - Passion for using data and analytics to drive business value
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Business Intelligence Engineer Resume Examples & Samples
- Familiarity with VSO / TFS preferred
- Knowledge of Microsoft data assets/systems a strong plus
- Passion for using data and analytics to drive business value
93
Business Intelligence Engineer Resume Examples & Samples
- Knowledge of database storage, collection and aggregation models, techniques and technologies and the ability to apply such methods to solve business problems
- Knowledge of structured problem-solving assignments
- Strong project management and people management skills
- Knowledge of Microsoft SharePoint, PowerPivot, SRSS, Excel (with embedded Pivot Tablesand macros)
- Some SQL skills
- Experience with at least one key analytics tools (e.g., R, Revolution R, SAS, SPSS, MATLAB, MicroStrategy, Tableau)
- Knowledgeable of data mining, analysis, modeling, of large scale, complex data sets
- Knowledgeable of statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), and optimization algorithms
- Ability to explain complex analytical methodologies and concepts in non-technical language - Exceptional written and verbal communication and presentation skills
- Experience with SSAS, SSIS and SSRS is a big plus
- Fluent in Japanese
94
Business Intelligence Engineer Resume Examples & Samples
- Is capable of taking care of daily ETL processing between the Enterprise data warehouse and other sources and the data science environment
- Is able to design and maintain a warehouse data model built from multiple sources
- Has strong experience using SQL, ideally on large datasets in a mainframe or server environment
- Has experience with SQL Server Integration Services (SSIS)
- Has knowledge and experience of ETL processes. Knowledge of SSRS/SSAS is an advantage
- Is capable of assisting in the development and improvement of the data architecture
- Has experience in data driven analysis
- Assists in the compilation, analysis and production of MI for various business units across the business to a required standard and reporting this MI to key stakeholders
- Significant SQL and SSIS experience required
- Previous work experience in a financial organisation is desirable
- Familiarity with modern data science techniques and platforms is a plus
- Significant experience with SQL is a must; experience with SSIS also required
- Knowledge and experience of ETL processes including best practices is required
- Excellent analytical skills with demonstrable experience in the compilation, interpretation and analysis of management information desirable
- Strong communication and presentations skills with an ability to deal with all levels in a confident and professional manner
- Self-motivated and highly energetic and embracing of demanding work environments
- Being a proactive (strategic thinking) team player capable of working in a dynamic team environment
95
Business Intelligence Engineer Resume Examples & Samples
- Engage with HR leaders and Business Analysts to gather requirements to design and develop analytics for Diversity and in support of talent acquisition, talent management, and organizational development initiatives
- Partner with central teams to influence data strategies representing the needs of the business units you support
- Experience designing and developing business facing analytics, dashboards, and data visualizations in BI platforms such as Tableau, Micros Strategy, OBIEE or comparable tool
96
Business Intelligence Engineer Resume Examples & Samples
- Engage closely with other engineers, including BIEs and Data Engineers
- Help define requirements for reporting customer behavior, and translate those requirements into effective data visualizations
- Be responsive to the needs of consumers of the BI data and tools
- 3-5 years of years of relevant work experience in business intelligence, analytics, data engineering, market research or related field
- Experience gathering business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports
- 5-7 years professional experience (experience in consumer-facing industry preferred)
- Track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams
97
Business Intelligence Engineer Resume Examples & Samples
- Own the vision: Understand BI needs within Alexa; determine requirements; author the strategy and vision for BI tools and services; create buy-in with key partners
- Own execution: Define creative, high quality roadmaps supporting the BI vision, consistent with team priorities, partner team planning, and existing tools capabilities; work closely with engineering teams across Alexa to deliver on the roadmap, including collaboration with partners to drive necessary changes to Alexa components; lead development of new BI technologies, in some cases technologies you prototype or evaluate yourself
- Represent the team: act as subject matter expert for BI tools and services; proactively support the Alexa community and partner team processes with relevant data
- Be efficient: Set up automation for delivering metrics and actionable data to internal customers; apply your technical expertise, be it through leadership or hands-on work, to unblock and accelerate achievement of the roadmap
- Bachelor’s degree or higher with a technical discipline
- 10+ years of professional experience with 5+ years of consumer facing software experience
- Experience using data and metrics in projects to drive decisions, prioritization, design, and actions
- Experience communicating with customers regarding complex project requirements and competing prioritizations
- Experience coordinating product development cycles and software development schedules
- Master’s degree or other higher level training
- Broad technical breadth and depth including familiarity with natural language processing and database infrastructure
- Experience with SQL and scripting languages such as python and awk
- Ability to think strategically and execute methodically
- Demonstrated experience engaging and influencing senior executives
- Proven track record of taking ownership and successfully delivering results in a fast-paced, dynamic environment where continuous innovation is desired
- Demonstrated ability to understand and discuss technical concepts, manage tradeoffs and evaluate opportunistic new ideas with internal and external partners
- Experience leading cross-functional teams to deliver products and projects on tight deadlines
- Experience delivering consumer software products and services in a high growth environment
- Passion for creating innovative solutions for consumers in households
- History of teamwork and willingness to roll up your sleeves to get the job done
98
Business Intelligence Engineer Resume Examples & Samples
- Interface with technology teams to extract, transform, and load data from a wide variety of data sources into Redshift cluster
- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the Amazon Transportation services attainment
- Collaborate with other business teams to improve the teams reporting toolset and insights
- Support leadership with time-critical tactical data analyses
- Advanced data analysis skills – e.g. regression modeling and experience in market and business analysis
- 3+ years of analysis experience required in data science, business analytics, business intelligence (BI), or comparable experience in other big data environments
- Clear examples of demonstrated analytical skill in prediction and optimization problems Effective time management, prioritization, and organizational skills
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Business Intelligence Engineer Resume Examples & Samples
- Experience with reporting tools like Tableau or other BI packages
- Demonstrated ability in data modeling, ETL development, and Data warehousing
- Expert in writing and tuning SQL scripts
- Experience operating in very large data warehouse environments
- 2+ years prior experience in a Data Engineer role with a technology company or financial institution
- Experience and proficiency in using Excel
100
Business Intelligence Engineer Resume Examples & Samples
- Advanced knowledge and expertise with SQL, Linux, Oracle and OLAP
- Advanced knowledge of data warehousing concepts
- Experience with MySQL and MySQL Server Administration
- Knowledge and direct experience using business intelligence reporting tools. (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.)
- 4+ years of experience using business intelligence reporting tools. (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.)
- Experience with at least one scripting language (Perl, Ruby, PHP, etc)
101
Business Intelligence Engineer Resume Examples & Samples
- Establishing, constantly improving, and being a global thought leader for a Business Buyer credit decision policy
- Developing spend and risk prediction models and optimized line allocation systems to support credit decision policy
- Defining supporting processes, metrics, and reports to drive improvements in credit policy, line appeal decisions, and suspensions/collections policies, including through collaboration with partner teams
- Track record of effective data tracking/report building with examples of resulting process improvements with SQL or a related language
- Analytical/problem solving skills and attention to detail, including the ability to recognize non-obvious patterns/predictors and propose insightful hypotheses
- Graduate Degree or equivalent training/experience in Economics, Statistics, Machine Learning, Data Science, Mathematics, or a related field
- Experience optimizing SQL queries to work with complex/large data structures
- Experience in finance or banking
102
Business Intelligence Engineer, Alexa Resume Examples & Samples
- Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar
- 6+ years of relevant work experience, including in a supervisory or managerial role covering BI
- Experience using databases in a business environment with large-scale, complex datasets
- At least 3 years experience in SQL/ETL, RedShift, and Python
- Experiencein statistics and use of statistical applications, such as R or SPSS
- Excellent knowledge of efficient data architecture models and SQL/ETL language
- Ability to mentor team members in data analysts and statistical techniques
- Capable to taking initiative and working with minimal direction; self-starter when assignments are vague or undefined
- Excellent verbal and written communication skills; ability to simplify complex topics for broad audiences, both business and technical teams
- Creative in finding new solutions/designing innovative methods, systems, and processes
- Proven analytical and quantitative skills to use hard data and metrics to back up assumptions, develop business cases, and complete root cause analyses
- A sense of humor and demonstrated ability to have fun
103
Business Intelligence Engineer Resume Examples & Samples
- Implement reports, KPI dashboards and metrics decks which distill down complex business problems in measurable and actionable insights
- Work closely with engineering team to improve data quality
- Manipulate/mine data from database tables (Hive, S3, SQS, Data Warehouse, Log files)
- Assist with ad hoc report generation and data analysis for customers
- Ability to write script (e.g. Ruby, Python) which would identify gaps in our processes and give the team the ability to solve these issues with your root cause analysis
- Help set the long-term vision for the team and decide on the best data analytics technologies to use
- Bachelor’s Degree in Business, Engineering, Statistics, Computer Science, Mathematics or equivalent experience
- Experience with Database (RDBMS/NoSQL) scaling challenges, data modeling and query optimization
- Advanced knowledge and expertise with SQL, Linux and OLAP and data warehousing concepts
- Experience operating in large NoSQL environments
- Experience with security technologies or products
- Experience working in an agile environment
- Familiarity with Amazon AWS technologies
- Knowledge of professional software engineering practices & best practices
- Demonstration of project ownership including requirements, design, implementation, testing, and operational support
104
Business Intelligence Engineer, Amazonfresh Resume Examples & Samples
- Unlock scale through the automation of insights and manual business processes
- Drive organization behavior through providing visibility in the metric that best drive customer-centric decisions
- You will partner with our SDE teams to transfer and industrialize the innovative developments that you produce
- Track the realized savings and impacts, and communicate results with senior leaders
- Owning and implementing the back end data architecture to make the above possible
- 5+ years of relevant experience in a business intelligence role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions
- Proven experience in BI/DW as a change leader providing strategic research, recommendations, and implementations
- Experience with columnar databases (Oracle, Redshift etc.)
- Experience with Machine Learning Concepts and tools (Python, R, SAS)
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex data sets
- Proficiency with Excel
- 4+ years of experience using business intelligence reporting tools. (OBIEE, Business Objects, Cognos, Kibana, Tableau)
105
Business Intelligence Engineer Resume Examples & Samples
- Own the design, development, and maintenance of ongoing metrics, reports, dashboards, etc. to drive key business decisions
- Experience building data products incrementally and integrating and managing datasets from multiple sources
- Expert-level knowledge of SQL, Excel and data modeling
- 5+ years of working with large data sets and analyzing data to identify patterns
- Experience with Oracle, MSSQL, Redshift, Teradata, etc
- Experience influencing data engineering best practices within your team
106
Business Intelligence Engineer Resume Examples & Samples
- Design automated solutions for recurrent reporting (daily/weekly/monthly)
- Design automated processes for in-depth analysis databases
- Design automated data control processes
- Collaborate with the software development team to build the designed solutions
- Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators
- Improve tools, processes, scale existing solutions, create new solutions as required based on stakeholder needs
- Provide in-depth analysis to management with the support of accounting, finance, transportation and supply chain teams
- Participate in annual budgeting and forecasting efforts
- Perform monthly variance analysis and identify risks & opportunities
- 3+ years of relevant experience in business intelligence or business analyst role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions
- Graduate with a Degree in Engineering, Finance, Supply Chain, Logistics, Computer Science or other quantitative area
- Advanced analytical skills and detail-oriented, while also seeing and understanding the big picture
- Demonstrated ability to meet deadlines while managing multiple projects
- Excellent communication and presentation skills working with multiple peer groups and different levels of management
- Strong skills in accessing and using analytical tools (Excel, Databases, SQL)
- Positive thinking, creativity, fun on the job
- Strong operational business understanding, including potential impact of business decisions on various internal and external stakeholders
- Strong financial acumen and familiarity with forecasting, budgeting, and variance analysis
- Knowledge in using OLAP technologies and BI Analytics
- Experience with one of those BI tools: OBIEE, SAP BW, Cognos, Business Objects, Hyperion, BPM, Tableau, Microstrategy
107
Business Intelligence Engineer Resume Examples & Samples
- Bachelor degree in Engineering or Masters in Math/Statistics/Finance or related discipline
- 3+ years of experience building business intelligence reports using one or more of the following tools: Tableau, MicroStrategy, and PowerPivot
- 5+ years of demonstrated quantitative and qualitative data science/business intelligence experience with impact to a business, a track record of problem solving using software systems, and the desire to create and maintain data warehouse systems
- Master degree in Engineering or Math/Statistics/Finance or related discipline
- 5+ years of demonstrated quantitative and qualitative data science experience with impact to a business, a track record of problem solving using software systems, and the desire to create and maintain data warehouse systems
- 3+ years of experience with Big Data Technologies like Hadoop or Hive
- 3+ years of experience scripting using Perl, Ruby, Python, or other programming languages
- Experience building business intelligence functions for international businesses of significant scale
- Must be detail-oriented with a demonstrated ability to self-motivate and follow through on issues
- Experience communicating with senior management (top level decision makers) as well as with colleagues from engineering, analytics, and business backgrounds
108
Business Intelligence Engineer Resume Examples & Samples
- A bachelor's degree, preferably in an analytical field that heavily utilizes statistics - e.g. Economics, Computer Science, Mathematics, or Statistics
- Proven experience in business analysis, statistical research, and a proficiency in at least one statistical programming language (R or equivalent)
- Ability to respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior through exploratory data analysis
- Master’s degree or higher, preferably in an analytical field that heavily utilizes statistics - e.g. Economics, Computer Science, Mathematics, or Statistics (or equivalent experience)
- Advanced SAS/R expertise
- Experience in operations, financial analysis, and pricing analysis
- Experience with implementing statistical analysis to inform business decisions
- Strong interpersonal, verbal and written communication skills, equally adept at working with engineers as well as with business leaders
109
Business Intelligence Engineer Resume Examples & Samples
- Develop models to predict customer engagement and targeting models to maximize customer lifetime value (LTV) and downstream impact (DSI)
- Work with prediction and machine learning models to scale business programs such as delivery zones and pricing
- Work closely with Product, Sales and Marketing teams to define the business expansion strategy
- Collaborate with Data Engineers and Software Engineers to implement the data architecture and design
110
Business Intelligence Engineer Resume Examples & Samples
- Derive recommendations from analysis that have impact on multiple teams and provide significant business value
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using ETLs, PL/SQL, SQLs
- Partner with data engineering teams to influence the direction of data visualization platforms
- Own the maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
- Lead best practices in reporting and analysis, including data integrity, test design, analysis, validation, and documentation
- Respond to high priority requests and tickets from business customers
- 5+ years of experience in relevant business domains, including data warehousing and business intelligence tools, techniques and technology; or experience in analytics, business analysis, or comparable consumer analytics solutions
- Knowledge and expertise with SQL, RedShift, or OLAP
- Knowledge and direct experience using business intelligence reporting tools (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, Datanet etc.)
- Ability to handle confidential and sensitive information with extreme discretion, including working with encrypted files
- Ability to understand the data and handle data quality issues and respond to customer queries
- A passion for data visualization
111
Business Intelligence Engineer Resume Examples & Samples
- Analyze and solve business problems by understanding the broader context and impact
- Manage and execute entire projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving and communication of insight and recommendations
- Drive business performance reporting and facilitate team reviews weekly, monthly and quarterly
- Use analytical and reporting techniques to develop customer insights and business opportunity
- Drive development of quantitative models necessary for evaluation and implementation of new strategies with business stakeholders
- Effectively communicate across teams while balancing the needs and requirements for internal and external stakeholders
- Able to quickly learn new analytical technologies and broad range of data resources and provide training to the broader team to become self service
- Independent problem solver who can make high quality judgments and anticipate future business needs
- Able to use data and metrics to back up assumptions, develop business cases and complete root cause analysis
- BASIC QUALIFICATIONS
112
Business Intelligence Engineer Resume Examples & Samples
- Survey stakeholders to gather business requirements in order to properly (re)architect new or existing data model
- Thoroughly test ETL flows and participating in user acceptance testing (UAT)
- 3-5 years of experience working with BI and visualization tools such as Tableau, OBIEE, and report creation environments such as Jaspersoft and SSRS
- Enjoys working with open source tools
113
Business Intelligence Engineer Resume Examples & Samples
- Research machine learning algorithms and implement by tailoring to particular business needs and tested on large datasets
- Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdown
- Bachelor's degree in Computer Science, Information Systems, Business, or related field
- Data modeling, ETL, and Data Warehousing experience 5+ years
- Experience working with business intelligence tools such as MicroStrategy, Oracle BI, Tableau, Pentaho, etc
- Python Scripting (or other platform-agnostic language) experience 3+ years
- SQL development experience 5+ years
- Familiar with AWS as a Platform
- Ability to meet tight deadlines and prioritize workloads in a fast paced environment
- Capable of data processing and transference outside of ETL tools or databases (custom scripts to pull and load from APIs or Files)
- Working knowledge of an object oriented language
114
Business Intelligence Engineer, Display Ads Resume Examples & Samples
- Size, scope, build and maintain data tables for efficient data gathering and create sustainable and scalable models for data analysis
- Partner with internal teams to identify process and system improvement opportunities
- Translate complex or ambiguous business problem statements into analysis and reporting requirements
- Proactively and independently work with stakeholders to construct use cases and associated standardized outputs
- Scale data processes and reports; write queries that stakeholders can update themselves or can be automated
- Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis and the ability to work with a variety of different data sources
- Retrieve data using efficient query development that requires less post processing as well as using sources to validate data
- Optimizing source data to maximize reporting automation
- Identify and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Completed Bachelor’s degree from accredited university in Computer Science or another technical field
- Demonstrated development and application of predictive statistical procedures
- Demonstrated ability to use SQL for data extracts and loads
- Knowledge of scripting for automation
- Power user knowledge of Microsoft Excel
- Fluency with business intelligence and visualization software (e.g., OBIEE, Tableau Server, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
- Experience gathering requirements from stakeholders and creating business metrics
- Candidates with a Master’s degree or higher with additional experience are preferred
115
Business Intelligence Engineer Resume Examples & Samples
- PhD or Master's in Economics by September 2017
- Applicants with considerably more experience, including mid-career, are also strongly encouraged
- Strong background in statistics methodology, applications to business problems, and/or big data
- Ability to work in a fast-paced business environment
- Strong research track record
- Effective verbal and written communications skills
116
Business Intelligence Engineer Resume Examples & Samples
- You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions. You are analytical and creative, and you don’t quit. You will also have the opportunity to display your skills in the following areas
- Bachelor’s degree in Computer Science Mathematics, Statistics or equivalent quantitative discipline
- 3+ years of relevant experience in business intelligence role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions
- Knowledge and direct experience with Oracle SQL, Tableau, Excel and OLAP
- Success in dealing with ambiguous / undefined problems and thinking abstractly
- Understanding of basic information security concepts
- Master's degree in Engineering or Math/Statistics/Finance or related discipline
117
Lead Business Intelligence Engineer Resume Examples & Samples
- Requires a minimum of 3 years experience in supporting Business Intelligence / Data Analytics and Data Warehouse projects
- Requires a minimum of 3 years experience in designing and developing dashboards using Tableau Desktop for various organizational metrics
- Requires a minimum of 3 years Informatica experience
- LI-RL
118
Business Intelligence Engineer Resume Examples & Samples
- Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (e.g. data visualization tools for non-tech business users)
- Use data mining, model building, and other analytical techniques to develop and maintain customer segmentations
- Make recommendations for new metrics, techniques, and strategies to improve experience measurement and targeting in the future
- Be connected and influential within the Amazon analyst community. Work with engineering and the data warehouse to enable the appropriate capture and storage of key data points
- Generate Impact: We want someone obsessed with impact who understands how to turn insights into value
- 4+ years of professional experience in business analytics, business intelligence (BI) or comparable consumer analyst position handling large, complex data sets
- Strong SQL and Excel expertise to access and transform data into insights
- MBA or Masters degree in an analytic field is desired
- Experience with statistical modeling, dataming and analysis (eg SPSS, SAS, etc.)
- Experience with statistical modeling, dataming and analysis (eg SPSS, SAS/R, etc.)
- Experience in Machine learning
119
Business Intelligence Engineer Resume Examples & Samples
- 2+ years of professional experience in business analytics, business intelligence (BI) or comparable consumer analyst position handling large, complex data sets
- Solid background in analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions and develop business cases
- Advanced statistics SAS/R, SQL and Excel expertise to access and transform data into insights
- Strong analytic and investigative skills to support ad-hoc data analysis requests from various internal customers
- Master's degree in Math, Finance, Statistics, Engineering, Computer Science or related discipline
- Experience with Big Data solutions: Hadoop, Pig, Hive or other frameworks
- Demonstrated ability to summarize key insights of complex solutions for technical and non-technical audiences
- Demonstrated ability to frame complex analytical problems
- Strong organizational and multitasking skills with the ability to balance competing priorities
120
Business Intelligence Engineer Resume Examples & Samples
- Serve as a key member of the DF PM team by supporting all reporting requests from operations, helping procure new data streams (from both internal and external sources) and ultimately turn this data into actionable business intelligence
- Conduct analysis and prototype new metrics that will be shared with Management, the Operations Team and executive stakeholders
- Leverage internal tools, including AWS Redshift, to deliver data-driven recommendations, tools, dashboards, reports, and findings to internal stakeholders
- Manage many requests concurrently and strategically, prioritizing when necessary, and be up for the challenge of performing in a fast-paced environment that is constantly evolving
121
Business Intelligence Engineer Resume Examples & Samples
- 1) Retrieving and analyzing spatial data using PG SQL and other data management systems
- 2) Contributing to the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
- 3) Developing and proposing new metrics, recommending strategies to stakeholders to improve map data quality, and working across our organization to make actionable intelligence available to business stakeholders
- 4) Supporting cross-functional teams on the day-to-day execution of projects and initiatives
- 5) The ideal candidate actively seeks to understand Amazons core business values and initiatives, and translates those into everyday practices
- Bachelor’s degree in Geography, Computer Science, Engineering, or Mathematics or relevant field
- Strong competence in spatial data analysis
- Experience with GIS software such as ESRI as well as open source software systems
- Perform ad-hoc and structured data analysis; evaluate, assess and report data quality
- Experience with various map data sets
- Effective communication and strong collaboration skills are requirements for the position
- Experience with multiple database platforms is a plus
- Passion for learning and using new technologies
- Thrives in a fast-paced, innovative environment
122
Business Intelligence Engineer Resume Examples & Samples
- Bachelor’s degree in Computer Sciences, Math, Statistics or related field
- 5+ years of professional experience in business intelligence
- Advanced knowledge of SQL and experience with large data sets
- Experience in designing and building data infrastructure and automated reporting tools
- Deep hands-on technical expertise, excellent verbal and written communication skills
- Software development experience
- Masters degree in Computer Sciences, Math, Statistics or related field
- Experience with big data solutions
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet timelines
- Software development experience using Python
123
Business Intelligence Engineer Resume Examples & Samples
- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will shape the future of Prime Photos and Amazon Drive
- Large scale data mining to find trends and problems, then communicate and drive corrective action
- Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions across two business units
- Work with business and development teams to ensure alignment and proper execution of changes to business processes
- Bachelor's degree in Math, Finance, Statistics, Engineering, Operations Research, or related discipline
- Relevant employment experience in analyst positions driving business insights through large, complex data sets
- In-depth knowledge of SQL and Excel
- Inquisitive mindset, with proven problem solving ability, and a passion for big data
- Ability to quickly adapt to changing priorities and generate innovative solutions in a fast-paced environment
- Experience in designing and analyzing A/B tests
- Knowledge and experience in data visualization/reporting software (e.g., Tableau, Spotfire, etc.)
- Advanced Oracle SQL knowledge (using iterative functions, iterating on WITH statements, methods of tuning SQL code, etc.)
124
Business Intelligence Engineer Resume Examples & Samples
- Strong ability writing code and scripting at a maximum run time efficiency
- Ability to coach and train other on SQL
- Ability working in a large data environment
- Minimum 3 years of analysis experience required in data science, business analytics, business intelligence (BI), or comparable experience in other big data environments
125
Business Intelligence Engineer Resume Examples & Samples
- Design, implement and support a scalable and reliable infrastructure for Data Warehousing, BI and Analysis for the benefit of the Customer Packaging Experience
- Analyze and solve Product Analytics business problems at their root, stepping back to understand the broader context. Apply automation so that with every iteration on a problem, you build your solution to have maximum scale and self-service ability by stakeholders
- Develop pragmatic analyses and choose applicable solutions that make valuable contributions to Amazon’s businesses
- 3+ years work experience in BIE in a big data environment
- Ability to create usable tools in Tableau or similar program that allows others to fish for themselves
- Expertise in Statistical Analysis packages such as R, SAS and Matlab
- Outstanding written communication skills. Able to distill complex data cross-tabulations into concise, meaningful insights with low entropy
- Outstanding verbal communication skills. Able to concisely communicate trends in metrics and underlying cause
126
Business Intelligence Engineer Resume Examples & Samples
- Experience with MicroStrategy, Tableau, Business Objects or other reporting or data visualization tools, with a strong preference for MicroStrategy experience
- Proficiency in writing SQL scripts
- 1-3 years work experience with Business Intelligence delivery, Data Modeling, and ETL
127
Business Intelligence Engineer Resume Examples & Samples
- Own the design, development, and maintenance of metrics, reports, analyses, dashboards, etc. to drive key business decisions on revenue and seller performance
- Pull and synthesize data and conduct business analyses that drive strategic decisions and process improvements
- Develop quantitative models, forecasts, and simulations to evaluate various trade-offs associated with screening new sellers and impact on revenue
- Support projects by identifying business requirements and coordinating with technical program management teams
- Help identify and drive improvements in automation/metrics
- Serve as the SME to the full suite of Amazon’s data tools and resources
- Strong ability in ETL development and writing and tuning SQL scripts
- Expert ability in Excel e.g. macros, data analysis tools
- Genuine curiosity, proven problem solving ability, and passion for data
- 2+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in other big data environments
- Strong written and verbal communications and interpersonal/team skills
- Organizational skills with ability to manage multiple, competing priorities simultaneously
- Track record of taking ownership and driving results
128
Business Intelligence Engineer Resume Examples & Samples
- Manipulate/mine data from database tables (MySQL, SQL server, Oracle, Data Warehouse, FC log files)
- Ability to write script (ex. PERL) which would identify gaps in our processes and give the team the ability to solve these issues with your root cause analysis
- Develop websites using (RUBY, HTML, PHP, Java, AJAX) which would allow users throughout the FC including the leadership team the ability to graphically understand issues the team is seeing as well as action items to solve these issues
- Maintaining database up-time to include restarting of servers, etc
- Providing analytical support not only for the facility to improve results
- Root cause research into identifying process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdowns
- Analyze and report data findings and complete reports on building capacity, inventory control metrics, error reporting, and performance management control
- Experience with any/all of the following preferred: Ruby, Perl, Oracle, SQL
- Experience with OBIEE/other BI analytic tools
- Proficiency with design patterns
129
Business Intelligence Engineer Resume Examples & Samples
- Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management
- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area
- Innovate by adapting new modeling techniques and procedures
- You should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets
- You should have exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive
- You will extract huge volumes of data from various sources and message streams and construct complex analyses. You will implement data flow solutions that process data real time on message streams from source systems
- You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion
- You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training
- Your teams will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes of online data at scale to serve our customers
- Over 4+ years of relevant experience in advanced analytics and predictive modeling across any domain or function
- At least 3+ years of hands-on experience in R, SAS, SQL or similar analytics languages
- Strong analytical mindset with willingness to Innovate
- Ability to work closely with highly qualified professional as a team
- Comfortable in working with multiple operating systems
- Between 2 and 3 years’ experience in relational database concepts with a solid knowledge of SQL for data extraction and processing end to end
- Display entrepreneurial spirit in working
130
Nexperia Business Intelligence Engineer Resume Examples & Samples
- Provide support for existing business intelligences solutions in the Supply Chain Management organization
- Partner with the different SCM departments to identify and prioritize their business intelligence needs
- Develop understanding of the business processes and suggest more effective solutions
- Gather requirements and develop, build and implement complex BI solutions
- Work with IT / developers that will support solution building
- Innovation and creativity are key for this role. The team is learning and using new technologies to change the way in which information is delivered
- Support stakeholders with data collection and analysis
- Work with large data sets, automate data extraction, and build monitoring/reporting dashboards and high value, self-service automated BI solutions
- Organize and train users from the SCM organization in the usage and understanding of all reporting solutions and the full reporting landscape
- Be a leader in the Nexperia Business intelligence community
131
Business Intelligence Engineer Resume Examples & Samples
- Direct development of BI systems
- Creating detailed design for BI solutions in alignment with overall architectures
- Bringing conceptual design down to a level of detail that can be physically implemented
- Issue resolution of complex issues that cannot be handled by support due to the need to have a deeper technical or process background
- Data analysis for key focus areas
- Assistance with testing processes, especially timely resolution of issues
- Assistance with effort planning and on-time delivery of development requests
- Ensuring solution operates within broader BI landscape at Biogen, including best practices, consistency, and supportability
- Interaction with other teams at Biogen (e.g. business, IT functional leaders, infrastructure) to develop a comprehensive solution
- 5+ years’ experience in the Business Intelligence (BI), big data, and/or data management arenas
- Strong development competency
- Experience with business intelligence software packages, data management (e.g. data warehousing), and/or ETL tools with deep expertise in at least one of these areas
- Understanding of business data and methodologies, such as SQL, normalized vs. de-normalized, slowly changing dimensions, databases, data optimization, aggregations, dimensional data modeling, big data, data lake
- Ability to combine reporting design with underlying data design
- Ability to dive into difficult technical issues
- Nice to have
132
Business Intelligence Engineer Resume Examples & Samples
- Bachelors or Master’s Degree in Computer Science or related field
- Strong in data structures and problem solving
- Obsession with quality and customer experience
133
Business Intelligence Engineer Resume Examples & Samples
- 3 to 5 years of experience as a Data or BI Engineer dealing with large complex data scenarios
- Expert in data extraction experience using SQL. We expect robust basic foundation skills in SQL extraction
- ETL experience and basic/intermediate familiarity with Linux preferred. Intermediate skills with Ruby, Perl, Python or, at least, one similar scripting language. If you can understand a code and have the knack to learn then you should be covered
- Strong understanding of BI technologies and their application including database warehousing and dash boarding
- Master’s degree in Industrial Engineering or another quantitative field preferred. Bachelor's degree or experience in computer science or another technical field is highly desired
- Technical aptitude and familiarity with the design and use of complex software systems
- Experience communicating with internal stakeholders as well as with colleagues from computer science, operations research, and business backgrounds
- A Strong individual contributor who can work with minimal direction and oversight
134
Lead Business Intelligence Engineer Resume Examples & Samples
- Work with the business team to understand requirements; design and develop solutions to best meet the requirements
- Perform detailed data analysis, validation, and identify data quality issues
- Create ad-hoc queries and reports as requested and provide on-going analytical support for these requests
- Assists business users in resolving and identifying system issues by providing application knowledge and technical expertise
- Update data models to provide flexibility for additional data dimensions
- Provide production support for MicroStrategy reports users
- Enable efficient BI self-service environment and facilitate efficiency at delivering technology managed changes to production environment
- Drive BI innovation using data mining, machine learning across different systems
- Strong experience with MicroStrategy Dashboard and Report Development on 10.x version
- Sound understanding of the Microstrategy platform capabilities like command manager, system manager and architect
- Experience and strong understanding of data warehousing and data modeling
- Strong understanding of other BI products like Tableau and Amazon QuickSight
- Experience or familiarity with Aws cloud platform is a big plus
- Experience or familiarity with Data Mining and Machine Learning is a big plus
- Financial background will be a huge plus
135
Business Intelligence Engineer Resume Examples & Samples
- Build prediction and machine learning models to scale business programs such as delivery zones and pricing
- Bachelor's degree in Math, Finance, Statistics or related discipline
- 3+ years of professional experience in business analytics at scale
- Experience with hands-on statistical analysis
- Experience with Tableau and Redshift
- Experience with major programming language (Java, Python, etc) and/or scripting language (Perl, Unix Shell, etc) to process data for modeling
136
Business Intelligence Engineer Resume Examples & Samples
- Bachelor’s degree in mathematics, statistics, computer science, economics, finance or a similar quantitative field
- Experience in using SQL to analyze data in a database or data warehouse and a scripting language (Python is greatly preferred, Unix shell) to process data for modeling
- Experience working with a predictive and decision models and data mining techniques, specifically statistical forecasting methods (regression & ARIMA models)
- Master’s degree or higher with additional experience are preferred
- Experience writing and communicating analysis across wide audiences (both technical and non-technical)
137
Business Intelligence Engineer Resume Examples & Samples
- Engaging with HR and business partners to gather requirements to design and develop analytics in support of talent management, HR, and Diversity initiatives
- Leading the development and design of standard operational dashboards
- Manage large datasets from multiple sources, transforming or cleaning data as necessary
- Provide ad-hoc or special project data analysis to leaders to inform strategic organizational and talent management decisions for supported business units
- Apply data analysis skills to develop key performance indicators for key employee life cycle events
- Partner with central teams to influence central HR systems teams strategies representing the needs of the business units you support
- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to at any given time
- Recognize, create and implement new reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Bachelor’s degree in an analytical area such as Computer Science, Social/Behavioral Science, Physics, Mathematics, Statistics, Engineering or similar
- 3+ years’ experience working with large-scale, complex datasets with an emphasis on data reporting and analytics, preferably in business operations or HR
- Experience designing and developing business facing dashboards, and data visualizations in BI platforms such as Tableau, MicrosStrategy, OBIEE or comparable tool
- Experience in using SQL to analyze data in a database or data warehouse
- Experience in data modeling (ER diagrams, database design) for ad-hoc, visualization, and analytical applications
- Strong skills using Microsoft Office products, specifically in Excel
- Master’s degree or higher a quantitative field such as Mathematics, Operations Research, Social/Behavioral Science, Statistics, or Computer Science
- Strong communication and data presentation skills, experience analyzing data and communicating the results to senior business leaders
- Ability to create, maintain and disseminate information to senior business leaders for multiple projects/work streams at one time
138
Business Intelligence Engineer Resume Examples & Samples
- Analyze and validate data using data and reporting tools to ensure high data quality and reliable insights
- Recommend, develop and report on the business metrics and KPIs that provide the best measure of the health of our catalog and product listing ecosystem
- Partner with data engineering teams across multiple business lines to improve data assets, quality, metrics and insights
- Proactively identify interesting areas for deep dive investigations
- Collaborate closely with product managers and specialists to design, execute and analyze results for any experiments
- Leverage industry best practices to establish repeatable BI practices, principles & processes
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance or related technical field
- Able to understand and translate business and product questions into analytics projects
- 2yrs Experience in data mining using databases in a business environment with large-scale, complex datasets
- 2yrs experience building reporting solution in Tableau/OBIEE/Micro strategy
- 2yrs experience in SQL
- Understanding of relational databases and basic familiarity with statistics
- Extensive experience in building dashboards and reporting solutions for executives
- Experience with on-cloud big data tools like Hadoop, Redshift, Quick sight will be an advantage
139
Business Intelligence Engineer Resume Examples & Samples
- You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, optimization) to identify different opportunities to reduce ship costs, increase fill rate, lower inbound costs, improve perfect order % and set priorities to improve them
- You will own end-to-end program management. You will not only develop insights but devise realistic plans and work with key stakeholders (software managers, product managers, retail business managers, sellers, transportation planners/managers, and warehouse managers ) to execute them
- You will be responsible for achieving XX million $ actual savings on the bottom line or adding YY million $ to top line. You will not be responsible for only "recommendation" but actual improvements made to bottom or top line
- You will engage with senior leadership on drafting proposals for new concepts, improvement plans, 3-year strategy and outlook
- You will be a subject matter expert in best in class supply chain optimization policies at Amazon. You will understand intricate details of our fulfillment and ordering systems along with their impact on ground-level
- You will design, develop and establish KPIs to monitor analysis and provide strategic insights to drive growth and performance
- You will build infrastructure and implement maintenance strategy for internal datasets to support swift analysis to answer critical business questions. You have the freedom to define data extraction tools and dashboards the team should acquire provided you can justify the cost (Amazon frugality!)
- You will work with large data sets, automate data extraction, and build monitoring/reporting dashboards and high value, self-service automated BI solutions. We spend 0 hours in developing metrics or any non-value added workaround
- Responsible for up skilling team data management and analytical capabilities by mentoring program managers, junior/peer analysts, and senior managers
- 4 to 10 years of experience as a Data or BI Engineer dealing with large complex data scenarios. 3+ if you have a Master's Degree
- Expert in data extraction experience using SQL. We expect robust basic foundational skills in SQL extraction. You are not expected to write Procedures or Trigger Functions
- Strong understanding of BI technologies and their application including database warehousing and dashboarding
- Master’s degree in Industrial Engineering, Logistics, or another quantitative field preferred. Bachelor's degree or experience in computer science or another technical field is highly desired
140
Business Intelligence Engineer Resume Examples & Samples
- Produce robust, well designed and maintainable business intelligence in line with departmental standards, industry best practice and customer requirements
- Document work to agreed standards and procedures
- Facilitate internal and external customers to analyze requirements for next software/changes to software and to produce agreed requirement specifications
- Support and maintain deployed software
- Experience in data modeling
- Strong skills in Business Intelligence visualizations tools such as Tableau or Spotfire
141
Business Intelligence, Engineer Resume Examples & Samples
- 3+ years of creating innovative business solutions using the following tools: SQL, Hive, PIG, script in either JavaScript, Perl, Shell, Python, BI tools including Tableau
- Providing analytic support and data visualizations using the following tools: SQL, Hive, PIG, script in either JavaScript, Perl, Shell, Python, BI tools including Tableau
- Data management experience including data governance, quality assurance, metadata documentation
142
Business Intelligence Engineer Resume Examples & Samples
- Produce complex ad-hoc queries and reports using T-SQL, SSRS, and Tableau
- Design and develop data extracts using SSIS
- Gather user requirements and perform business analysis
- Data Warehouse development
- Develop detailed test conditions and test cases to ensure quality of queries and reports
- Research and troubleshoot data questions
- Collaborate on problem resolution, team decisions and project planning
- 3+ years of T-SQL query writing (MS SQL Server 2012 Enterprise)
- 3+ years business intelligence tool experience with SSRS, Tableau, SSIS and SSAS
- 3+ years of data analysis and requirements gathering
- As a key resource to others, must maintain a high degree of accuracy along with attention to detail, excellent oral and written communication skills, strong interpersonal skills and the ability to meet deadlines
- Strong knowledge of manufacturing business processes
- Experience working with Enterprise Resource Planning (ERP) systems
- Experience with Team Foundation Server (TFS)
- Machine Learning experience
- Big Data experience
143
Business Intelligence Engineer Resume Examples & Samples
- A desire to work in a collaborative, intellectually curious environment
- M.S. in Computer Science, Operations Research, Computational Economics, Statistics, Applied Mathematics, or a related field and at least 3 years work experience
- Experience in designing analytic and/or algorithmic solutions to business or operational problems
- Experience working with relational databases and SQL in a real-world context
- Ability to clean, transform, and merge your own data in a procedural language like Python,Scala or R
- Ph.D. in Computer Science, Operations Research, Computational Economics, Statistics, Applied Mathematics, or a related field and at least 2 years work experience
- Strong background in big data workflows and infrastructure implementation
- Familiar with Hadoop, Spark, Hive/Pig will be a plus
- Strong background in statistics methodology, applications to business problems
- Experience developing software in traditional programming languages (C++, Java, etc..)
- Applicants with more experience, including mid-career, are also strongly encouraged to apply
144
Business Intelligence Engineer Resume Examples & Samples
- Advanced understanding of economics, statistics, and/or analytics
- Minimum of 8 years of experience with reporting applications (SSRS, Business Objects, Tableau, PowerBI, Cognos, etc.)
- Minimum of 8 years of experience with data collection and monitoring tools (Splunk, SCOM, HP OpenView, etc.)
- Minimum of 4 years of professional experience with data model development
- Minimum of 4 years presenting data analysis in business and technical settings
- Strong experience in SDLC best-practice, Agile/Kanban workflow management
145
Business Intelligence Engineer Resume Examples & Samples
- Own the design, development, and maintenance of ongoing metrics, reports, analysis, dashboards, etc. to drive key business decisions
- 5+ years of work experience writing advanced SQL, data modeling, data mining (SQL, ETL, data warehousing) and using databases in a business environment with complex datasets
- Experience with Oracle, Redshift, Teradata, and other data warehouses
146
Business Intelligence Engineer Resume Examples & Samples
- BA/BS Degree in Statistics, Mathematics, Computer Science, Economics, Bioinformatics or related discipline
- 2+ years of relevant experience with data mining, SQL, building reporting, and statistical modeling
- Ability to think and react in a high-energy, fast-paced environment where ambiguity is the norm
- Demonstrated track record of creative problem solving; think big, start small, grow fast
- Strong attention to detail, excellent organization skills, and ability to manage multiple projects and responsibilities
147
Business Intelligence Engineer Resume Examples & Samples
- A bachelor's degree, preferably in an analytical field - e.g. Economics, Computer Science, Mathematics, Statistics or Finance
- Proven experience in business analysis and research
- Proficiency in Excel (pivot tables and charts) and Access databases
- Understanding of relational databases and familiarity with statistics
- MBA or Master’s degree (or equivalent experience)
- Experience in operations and financial analysis
- Experience with data analysis in a variety of quantitative fields and experience building data analysis and decision support systems
148
Business Intelligence Engineer Resume Examples & Samples
- Degree in mathematics, statistics, computer science, engineering, economics or related analytical field
- Experience in using SQL or comparable data querying packages
- Experience in using SPSS, SAS, R or other statistical software packages
- Excel skills (intermediate to advanced proficiency)
- Expertise in Statistical Analysis packages such as SPSS, SAS, R or other statistical software packages
- Experience in creating usable tools in Tableau or similar program that allows others to fish for themselves
149
Business Intelligence Engineer Resume Examples & Samples
- Serve as a key member of the BD team in helping to drive overall AWS business by applying business analysis skill
- Develop a robust and efficient reporting scheme for various metrics
- Develop sales/marketing automation systems
- Provide quantitative analysis with various teams in order to help guiding decision making and improve revenue
- Support broader business development activities, such as working with various internal stakeholders, targeting of specific market segments, driving campaigns and targeted events etc
- Demonstrable experience with analytical skills in a fast-paced and rapidly changing environment, and possess 5+ years of data analytics, sales support, business operation, business development, or management consulting experiences
- Demonstrated ability to build and manage models for business forecasting, variance analysis, and problem solving is desirable
- Deep experience to apply quantitative analysis (such as machine learning, marketing science, operations research, econometrics etc.) into practical business problems
- Fluency in SQL and statistical packages (such as R etc.) is a must
- Business level communication skills in both Japanese and English
- Experience in system development (such as sales automation systems) with scripting languages. Python is preferred
- Experience using AWS analytical services (e.g., Redshift, Data Pipeline, EMR, Machine Learning, Kinesis)
- Experience with large datasets and distributed computing system is a plus
- Applied experience with machine learning on large datasets
- BA/BS in Computer Science, Math, Engineering, Statistics, Economics or other technical/quantitative fields. Advanced degrees preferred
150
Business Intelligence Engineer Resume Examples & Samples
- 4-8 years of relevant experience working within a data warehouse environment
- 4+ years of experience working with SSIS
- Strong experience working with ETL or ELT
151
Business Intelligence Engineer Resume Examples & Samples
- Collaborate with managers or practitioners in the business unit to determine systems requirements and functionalities needed in new or revised application
- Develop detailed specifications of application and document in a form that it can be used for coding application
- Perform or review coding done to render specifications into application functionalities, screens, or outputs
- Develop test plan and/or test application in development status or debug application in production mode
- Document or review documentation of steps in specification development, coding, testing and user acceptance for future reference and for internal control purposes
- May lead a small project or a segment of a larger project
- May mentor or provide technical guidance to less experienced staff
- 2+ years of related experience
- Understanding of BI Tools (such as MicroStrategy, Tableau, QlikView) and reporting databases
- Development of reports using documents, grids, graphs, dashboards
- Knowledge of data modeling techniques
- Strong SQL skills to build, debug, and optimize
152
Business Intelligence Engineer Resume Examples & Samples
- MBA, MS or MA (Logistics, Supply Chain, Engineering, Mathematics or Equivalent)
- Experience leading end-to-end strategic sourcing processes, preferably in the transportation area, including spend analysis, supplier screening, benchmarking, clean-sheet costing, negotiations, supplier performance management, scorecards, contracting, and savings tracking
- Experience with use and implementation of transportation management solutions; ability to investigate and analyze business requirements, information flows, processes and procedures, to facilitate the design and development of purchasing systems solutions, including eSourcing systems
- Lean / Six Sigma experience; proven track record delivering process improvement and standardization
- International management experience
- Strong General Management skills, managing cross functional teams
153
Business Intelligence Engineer Resume Examples & Samples
- Providing business analysis using mathematical modeling tools to answer important questions for network optimization
- Utilizing code (Java, python or another object oriented language) for modeling algorithms and creating simple user interfaces
- 3 Partnering closely with many groups such as operations, IT, retail, and finance teams to support various business initiatives
- Effectively communicating with senior management as well as with colleagues from computer science, operations research and business backgrounds
- Bachelor degree in Operations Research, Computer Science, Applied Mathematics, Engineering or a related field
- Good communication skills with both technical and business people. Ability to speak at a level appropriate for the audience
- Experience developing software in traditional programming languages (Java, Python)
- Experience in using SQL to analyze data in a database or data warehouse and a scripting language (Python is greatly preferred) to process data for modeling
- Ability to create simple user interfaces
- Experience designing/implementing machine learning algorithms tailored to particular business needs and tested on large datasets
154
Business Intelligence Engineer Resume Examples & Samples
- 5+ years of experience with data analysis and metrics report development
- 3+ years of experience in building and maintaining multiple databases, familiar with Redshift, Oracle, MySQL, etc.; familiar with processing, filtering, and presenting large quantities (Over Millions of rows) of data
- Proficiency with Microsoft Excel to include making charts, data manipulation, pivot tables, creating macros, and visual basic knowledge
- Proven track record in automating metrics reports using complex databases
- Program experience in working with software engineering teams and/or external suppliers to achieve data acquisition, data structure optimization
155
Business Intelligence Engineer Resume Examples & Samples
- Utilize database technologies, including SQL, ETL, and Redshift to design, develop, and evaluate analyses and highly innovative business intelligence tools and reporting
- Managing Tableau Server and lead the Tableau Training events
- Providing analytical support to improve quality and standard work results
- Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions
- 3+ years of experience with dashboard building, data visualization, and BI training. (Tableau preferred)
- Experience processing, filtering and presenting large quantities (Over Millions of rows) of data
- Strong focus on internal customers and professional demeanor
- Understanding of INFOSEC data management requirements
- Basic development of data models or database schemas
- Experience with Tableau Server administration
156
Business Intelligence Engineer Resume Examples & Samples
- Drive development of quantitative models necessary for evaluation and implementation of publisher monetization and impact of providing incentives
- Develop queries for ad hoc requests and projects, as well as ongoing reporting
- Help our business development, product, and engineering teams to make data driven decisions by defining metrics and finding actionable insights from our data
- 5+ years of professional experience in web analytics, business analysis or comparable analytics position
- Experience with MS Excel, Access and SQL/SAS
- Experience of working on a new initiative from concept to launch
157
Business Intelligence Engineer Resume Examples & Samples
- Database development and maintenance (specifically Redshift, DynamoDB, OracleDB)
- Developing, implementing and automating Extract Transform Load (ETL) processes
- Advanced SQL query writing (PostgreSQL, PL/ SQL)
- Improving the data flow between multiple systems and user interfaces
- Providing Key Performance Indicators (KPI) deep dive analysis to guide business decision making
- Designing and maintaining metrics models and reports based on collected data
- Building and managing sales performance tracking and audit
- Providing data points for the preparation of business reviews and planning reports
- Experience developing ETL/ELT solutions within a Data Warehouse environment (Redshift, DyanmoDB, Oracle DB)
- Advanced SQL skills, with experience querying extremely large datasets from multiple sources and developing automated reporting
- 3 to 5 years of relevant experience working experience as a business intelligence engineer, or equivalent
- Experience setting up and managing Tableau Server infrastructure
- Experience in Tableau development
- Experience in working with multi TB data sets
- Programming in Python or similar language a plus
158
Business Intelligence Engineer Resume Examples & Samples
- Analysis of historical data to identify trends, develop predictive models and support decision making, including written and verbal presentation of results and recommendations
- Setup A/B tests and ensure measurements are setup correctly and results are reported
- Analyzing data from logs, spark and simulation results
- Understanding the broad range of Paytm data resources, which to use, how, and when
- MS degree or higher in computer science engineering, statistics, mathematics, econometrics, or a similar quantitative field
- SQL expert with prior success working with extremely large data sets using big data technologies like spark and hive
- Experience with web development/automation, scripting languages, and functional programming
- Demonstrated ability to directly partner with business owners to understand requirements
159
Business Intelligence Engineer Resume Examples & Samples
- Own the design, implementation and maintenance of the data pipeline, which includes data warehouse tables, scheduled extract jobs, automated reports, etc. to drive key business decisions
- Engage closely with Business Analyst and other stakeholders to understand business requirements and to build scalable process and metrics
- Implement solutions that enable the functional business leaders to efficiently drive actionable insights and make effective decisions
- Manage expectations and priorities concurrently and strategically in a fast-paced environment
- Leverage internal tools (e.g. AWS Redshift, Tableau) to help deliver data-driven findings and recommendations
- Bachelor’s degree in mathematics, statistics, computer science or a related discipline
- 3+ years of work experience in analytics, business intelligence, or data engineering field, including data warehousing tools and technology
- Advanced knowledge and experience with SQL, database design, and query optimization
- Experience with analyzing and mining databases in a business environment with large-scale and complex data sets
- Master’s degree in mathematics, statistics, computer science or a related discipline
- Experience using a major programming (e.g. Java/C) or a scripting language (e.g. Python, Perl)
- Experience with BI visualization tools like Tableau
- Knowledge and experience with AWS solutions such as Redshift and DynamoDB
160
Entry Business Intelligence Engineer Resume Examples & Samples
- Assist in the design of Business Intelligence software with clearly defined functional requirements with the help of more senior software engineers
- Designs software modules with clearly defined functional requirements without the assistance from more senior software engineers
- Participates in group design discussions and provides concrete input to the design of complete product components
- Understands design discussions that pertain to the interconnectivity of product components and major product subsystems
- Makes changes to, or creation of, modules that are completely designed
- Troubleshoots problems and makes repairs in familiar modules or product components
- Changes need only be periodically reviewed by more senior software engineers prior to submission
- Intermediate Proficiency in Software Development, Software Design, Software Testing, Software Configuration Mgt. Software Engineering Tools and Software Quality
- Basic Proficiency in Software Engineering Process
- Advanced Proficiency in Software Maintenance
- Minimum 1 years of experience in java
- Good understanding of C structures and C++ libraries
- Understanding of Data structures, DB schemas, SQL’s
- Exposure to Dashboards Design and development
- Good understanding of BI tools like Informatica, Business Objects, Cognos and microstrategy
- Theoretical knowledge of DB2 / any multi dimensional Data Warehouses
161
Business Intelligence Engineer Resume Examples & Samples
- Extract data from large-scale databases, and transform it into actionable business information serving worldwide stakeholders
- Design, validate, propose, implement and operate new metrics that feed business reporting and decision cycles
- Collaborate with data scientists and economists on data pipeline design for prediction and inference purposes
- Collaborate with data engineers, software engineers and security engineers to develop and operate our data processing toolset
- Master’s degree or higher in same fields with 3+ years of experience
- Experience with Spark or EMR or both a huge plus
- Knowledge of AWS security & networking a plus (IAM, VPC, KMS, Git)
162
Business Intelligence Engineer Resume Examples & Samples
- Ability to work with multiple tools and dive deep with a minimum of direct guidance
- Demonstrated use of modeling results to improve business decisions, particularly using model-based decision criteria in real time systems
- Experience writing scripts (Perl, Ruby) to manipulate data and developing software in traditional programming languages (C++, Java, Python)
163
Business Intelligence Engineer Specialist Resume Examples & Samples
- Develop/review technical documents to ensure consistency, accuracy and compliance with Citi's corporate technology directions and project standard practices and processes
- Understand core systems and methodologies of the company
- Support technical aspects of strategic initiatives including the implementation of large scale, global and regional BI shared technology environments with emphasis on Microsoft SQL Server Business Intelligence Suite, QlikView, QlikSense and MicroStrategy
- Contribute to technology strategy and capability roadmaps across all the Business Intelligence domains as well as Big Data Analytics area
- Work with development and infrastructure teams to facilitate the design, implementation, deployment, upgrade, and problem resolution of global shared architecture components and technical processes
- Work with vendors on assessing and selecting appropriate solutions Business Intelligence and Big Data Analytics solutions
- Provide recommendations and engineered solutions for Microsoft Business Intelligence, QlikView, QlikSense, Microsoft and Big Data Analytics, focusing on automation of system administration tasks, integration, monitoring, high availability, continuity of business, Citi Security / Audit / Compliance evaluations, and commodity hardware
- Identify and communicate risks associated with implementation, deployment and upgrade activities
- Interface with a geographically dispersed team of engineers and Operational Teams in providing system development and infrastructure support during analysis, development and testing phases
- Actively participate in Business Intelligence solutions architecture reviews and ensure adherence to corporate technology standards and security during the implementation phase
- At least 1 year of experience of Microsoft Power BI in Azure as well as proven acknowledgement of Microsoft Azure
- Experience with QlikSense and nPrinting products a Strong Plus
- Experience with MicroStrategy 10 tools a Plus
- Hands-on experience with multiple operating systems Windows and Linux, additional knowledge on VMware and proven experience with package management
- Solid knowledge of SQL language, experience with multiple RDBMs as well as scripting in Shell and VBA
- Experience implementing SSO and LDAP integration
- Must be customer oriented, able to interact with different teams, vendors, and a good team player
- Outstanding communication, organization, time management, and interpersonal skills
164
Business Intelligence Engineer Resume Examples & Samples
- Master’s degree in economics, statistics, computer science or a similar quantitative field
- 4+ years work experience in data analysis, applied statistics or econometrics
- Knowledge of longitudinal consumer analyses
- Proficiency with SQL, Excel, SAS, R, MATLAB (or similar tools) required
- Experience with mass advertising datasets
- Consumer Electronics experience, both US and international
- Experience handling large datasets
- Candidates with a Ph.D. and at least one year of work experience in a relevant field are preferred
- Experience developing analytics software using C/C++ or Java
165
Business Intelligence Engineer Resume Examples & Samples
- Deeply Understand the business challenges faced by Amazon Business
- Build models and perform predictive analytics for customer engagement, lead scoring, customer segmentation, down-stream impact (DSI), customer churn, lifetime value (LTV) cross-sell recommendations, win-loss analysis etc
- Design and conduct rigorous experiments on the effectiveness and efficiency of different marketing and sales programs that will inform long term strategy
- Partner with marketing and sales leaders, finance, and other business analysts and other growth wizards to unlock customer potential
- Support marketing measurement of various Amazon Business programs an leverage customer data to increase the efficiency of our marketing spend working closely with the channel, sales, and marketing teams on campaign optimization
- Update existing and create new metrics and reporting that help drive business decisions
- Develop insightful and actionable dashboards for internal teams (sales, marketing, product management, category teams) and Amazon Business senior management
- Hire and develop a team of BIEs, resulting in a world-class marketing analytics organization
- Basic data modeling and fundamental core database concepts
- 5+ years work experience in relevant field
- Experience effectively managing a team of BIEs or Data Scientists
- Basic/working knowledge in predictive analytics using tools such as R and SAS
- Experience in B2B ecommerce and performing business analysis to solve business problems
166
Business Intelligence Engineer Resume Examples & Samples
- Work with in-house scientists to design and development statistical models that drive key business decisions
- Interface with product managers, data engineers and software developers, learn about new initiatives and develop analytics/reporting solutions
- Make recommendations for new metrics, techniques, and strategies to improve customer experience and increase ATS market share
- Analyze and publish data for business reviews with senior leadership team
- Bachelor’s Degree or equivalent training/experience in Economics, Statistics, Engineering, Machine Learning, Data Science, Mathematics, or a related field
- Master’s or higher degree in an analytical area such as Mathematics, Statistics, or Engineering
167
Business Intelligence Engineer Resume Examples & Samples
- Interacting with decision makers from around the company to understand their needs and build solutions
- Answering why an experiment performed well or poorly
- Communicating analysis results, both verbally and in writing, to business partners
- Validating and improving the data driven decision making process at Amazon
- Building key metrics and modeling reports for communication with business leaders
- BS in Applied Mathematics, Statistics, Economics, Computer Science or other quantitative disciplines
- Experience working with large data sets
- Excellent SQL query skills
- Experience in R, SAS, Matlab or Stata
- Strong problem solving skills, and an ability to apply them in the context of a fast-paced business environment
- Good written and oral communication skills to translate complex models and analysis results into layman terms
- Capable and motivated to collaboratively work with a diverse and innovative team of engineers, analysts, operations personnel and business management to deliver results
- Familiarity with statistical methodologies
- MS or PhD in Mathematics, Statistics, Economics, Computer Science or other quantitative disciplines
- Comfortable working in a Unix/Linux environment
- Experience in a scripting language such as Python or Perl
- Experience with web analytics
- Experience in experimental design
168
Business Intelligence Engineer Resume Examples & Samples
- Execute the design of standard operational dashboards
- Write high quality code to gather and manage large data sets from multiple sources, transforming or cleaning data as necessary
- Be able to effective design and develop both reporting and data visualizations. Backend and ETL knowledge is critical in order to have the flexibility to incorporate other data sources
- Build our Quick Sight knowledge and becoming an early adopter and expert in that software
- Knowledge of statistics and experience with statistical data analysis systems (scikit-learn, Pandas, R, Shiny, etc.)
- Experience designing and developing business facing analytics, dashboards, and data visualizations in BI platforms such as Tableau, MicroStrategy, OBIEE or comparable tool
- Experience with data mining and creating/optimizing operational analytics and data model
- Experience in using SQL to analyze data in a database or data warehouse and/or a scripting language (Python, Ruby, Perl) to process data for modeling
- Able to gather requirements and convert to technical specs. Provide/create proof of concepts reports/dashboard based on user requirements
- Communication and data presentation skills, experience analyzing data and communicating the results to business leaders
- Knowledge of Linux system & AWS technologies, including large-scale data warehousing and analytics projects such as Redshift, S3, EC2, Data-pipeline and other big data technologies
- ETL/Data warehouse design experience
- Familiarity with building simple websites
169
Business Intelligence Engineer, Smart Home Resume Examples & Samples
- Extract data from multiple sources such as Oracle, MySQL, Redshift, PostgreSQL and other databases
- Ensure data accuracy by validating data for new and existing tools
- Build out database infrastructure to efficiently work with new and existing internal analysis tools
- Partner with developers to understand user requirements for database migrations to production databases
- Study key insight trends, using techniques such as machine learning to surface anomalies that could be related to a poor customer experience or abuse
- Develop and propose new metrics, recommending strategies to stakeholders to improve business results, and working across our organization to make actionable intelligence available to business stakeholders
- Respond with urgency to high priority requests from senior business leaders
- Seeks to understand Amazon’s leadership principles, Smart Home business strategy and initiatives, and translates those into everyday practices
- 5+ years of professional experience in data modeling / experience in business analytics
- Experience with SQL and experience with processing of large data sets is a must
- Experience in business/customer analytics
170
Business Intelligence Engineer Resume Examples & Samples
- Research machine learning algorithms and implement by tailoring to particular business needs and test on large datasets
- Manipulating/mining data from databases ( SQL Server, Redshift, Oracle DW)
- Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality
- Familiarity with Machine Learning algorithms and models such as Random Forests, SVMs, ANNs
- Familiarity with Optimization solvers/software such as CPLEX, GUROBI and AMPL
- Working knowledge with Simulation tools such as SIMIO, ARENA
171
Business Intelligence Engineer Resume Examples & Samples
- Collecting, analyzing and reviewing quantitative data and creating meaningful reports essential to successful audits
- Work with data source providers and technology teams to ensure that key decision data is accurate, automated and timely
- Use share knowledge and skills with your team to drive them forward achieve your shared goals
- Bachelor's Degree in Computer Science, Statistics, Finance, or a similar field
- Excellent written and verbal communication in both English and Japanese
- Proficient at Structured Query Language (SQL)
- Highly proficient in Microsoft Excel, good practical knowledge of Microsoft Access
- Knowledge in using OLAP technologies and BI Analytics, hands-on experience building and managing data tables
- Oracle and Linux skills will be an advantage
- Experience designing and driving basic statistical analysis (distribution, hypothesis testing, etc.)
- Advanced degree (e.g., MBA)
- Experience with consulting firms and internal control experience
172
Business Intelligence Engineer Resume Examples & Samples
- Monitor global demand and supply chain performance for all of Amazon.com
- Data mining and analysis to uncover trends and correlations to develop insights that can materially improve our decisions
- Use data to develop new statistical models to improve our ability to synthesize and extract insights from large volumes of data
- Develop and apply sophisticated quantitative and qualitative analysis to produce actionable insights
- Evolve Amazon’s understanding of customer behavior by developing new metrics around market demand
- Work closely with business intelligence teams to build scalable data architectures
- Conduct ad hoc deep-dives to diagnose and address performance defects · Develop predictive tools and responsive workflows to proactively identify defects within Amazon’s supply chain operations
- Exercise judgment in prioritizing between competing initiatives
- Provide clear direction and relevant communication regarding business performance with hundreds of colleagues across different functions, regions, and levels of the company
- Share best practices across and train global stakeholder groups, through both one-on-one interactions and scalable systems
- B.S. or B.A. degree in mathematics, statistics, computer science or a similar quantitative field required
- 2+ years work experience in relevant field
- Experience in designing and implementing custom reporting systems
- Proficient with MS Excel and SQL
- Experience building, iterating and validating analytical/predictive data models from scratch
- Relentlessly high standards and capacity to pay extraordinary attention to detail
- Demonstrated expertise in extracting, manipulating, and understanding data to do draw conclusions
- Experience in developing new metrics and monitoring systems to increase understanding of business performance
- Ability to think creatively, deal with ambiguity, and manage changing priorities
- The ability to communicate clearly with both senior leadership and coworkers
- Experience developing SQL queries and working with related business intelligence systems and tools
173
Business Intelligence Engineer Resume Examples & Samples
- Design, implement, and support key datasets that provide structured and timely access to actionable business information with the needs of stakeholders always in view
- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions
- Partner with analysts, machine learning scientists, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions
- Investigate and implement new big data technologies to solve business problems where appropriate
- Participate in developing technical strategy for turning data into actionable information
- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting
- Optimizing the performance of business-critical queries and dealing with ETL job-related issues
- Identifying the data quality issues across Oracle and Redshift to address them immediately to provide great user experience
- 3+ years of relevant work experience in SQL, ETL, Data Mining, Data Modeling, and working with large-scale datasets
- Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
- 5+ years of relevant work experience with ETL, Data Mining, Data Modeling, and working with large-scale datasets
174
Business Intelligence Engineer Resume Examples & Samples
- Project management of our org-wide rollout of Tableau visualization software. This will require full-time attention for the first year of service, then will help transition ownership for continued support and curation to the rest of the BI team
- Working with marketing, merchandising, product management and engineering to identify and scope data aggregations that facilitate analysis of most common customer behavioral questions
- Partnering with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights made available through Tableau
- Lead training and education efforts to enable the broader Amazon Music org to self-service reporting and basic analysis needs through Tableau
- Join large and growing BI/Data Science team to leverage extensive music listening data to better understand customers and contribute to product and marketing strategy
- Defining and developing tests to identify the best way to reach, convert, and retain customers
- Reporting to senior leadership and the team at large, on customer, product and marketing insights and trends
- Proactively developing new metrics and studies to quantify customer behavior
- Combining online web customer behavior and offline customer attributes to gain novel and powerful understanding of Digital Music customers
- Quickly build a thorough understanding of the Digital Music industry, its seasonality and global business trends and continually monitor the impact of important industry developments
- Work closely with finance team to conduct business and financial analysis, including forecasting and monitoring of key business activity
- BS degree in Statistics, Computer Science, Mathematics, Finance, Econometrics, or other quantitative field
- Highly skilled at querying relational databases (SQL) and ability to pull data from various sources
- 2+ years of experience working with best-in-class data visualization software, preferably Tableau
- Experience with analytic tools such as R, SAS, SPSS, etc
- In-depth experience with web analytics tools and analyzing online customer behavior
- Strong critical thinking skills and attention to detail
- Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into actionable analyses
- Passionate about understanding customers and their behavior
- Masters or PhD in Statistics, Computer Science, Mathematics, Operations Research, or other quantitative field
- Proven experience in BI/DW as a change leader providing strategic research, recommendations, and implementation in both business and technical roles
- Experience with Python or other relevant scripting language
- Experience with relational database design and architecture
175
Business Intelligence Engineer Resume Examples & Samples
- You collaborate across the organization to develop best practices for your function and advocate for improvements in enterprise-wide tools, working particularly closely with the Prime Now business intelligence and engineering teams
- You develop expertise in a broad range of Amazon’s data resources and know when, how, and which to use and which not to use
- You encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions
- You are comfortable with a degree of ambiguity and willing to develop quick proof of concepts, iterate and improve
- You create extensible designs and easy to maintain solutions with the long term vision in mind
- You have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value. You listen effectively
- You are comfortable presenting your findings to large groups
- Bachelor degree and 3+ years of relevant work experience
- Demonstrated experience in relational database concepts with an expert knowledge of SQL
- Masters degree in Computer Science or equivalent
- Experience with high throughput, 24x7 systems
- Scripting skills in Perl, Python, JavaScript, and/or Ruby
176
Business Intelligence Engineer Resume Examples & Samples
- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs
- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Consumables org and Amazon to produce complete data solutions
- A bachelor's degree, preferably in an analytical field - e.g. Computer Science, Economics, Operations, Mathematics, Statistics or equivalent experience
- Strong proficiency at querying and architecting relational databases - e.g. Oracle SQL Developer, ETL, Data Warehouse, Redshift
- Strong proficiency in Excel - e.g. macros, data analysis tools
- Understanding of inferential/descriptive statistics, linear/non-linear programming, and operations science - e.g. queuing theory
- 5+ years of relevant work experience in data science, business analytics, business intelligence (BI), or comparable experience in big data environments
177
Business Intelligence Engineer Resume Examples & Samples
- Collects, analyzes, and shares data to help business teams drive improvement in key business metrics, customer experience and business results
- Utilizes database and web application technologies to design, develop and evaluate innovative business intelligence tools and automated reports
- Designs, develops, and test BI solutions such as databases, data warehouses, queries and views, reports and dashboard
- Performs data conversions, imports, and exports of data within and between internal and external software systems
- Merges BI Platforms with enterprise system and applications
- Enhances the performance of business intelligence tools by defining data to filter and indexes
- Documents new and existing models and implementations
- Implements tools and frameworks for automating report generation, identification of data quality issues and data-governance
- Performs programming analyses for a wide range of requests using data in different formats and from various platforms
- Able to set priorities when given ad-hoc projects with very tight deadlines and limited information and still deliver results
- Keeps customers informed about business intelligence tool problems and resolutions
- Create scalable, efficient, automated process for large scale data analyses, model development, validation and implementation
- Designs and delivers end-user training and materials when requested
- Provides guidance, training and problem solving assistance to other team members
- Possess exemplary leadership and communications skills
- 3-5+ years of experience in a analytical role such as Finance, Operations research, Engineering or a related area
- Bachelor's degree in Finance, Economics, Engineering, Statistics, Mathematics or related field
- Demonstrated experience with SQL and Oracle, ETL development
- Experience using business intelligence reporting and AWS tools (Redshift, RDS, S3, OBIEE, Business Objects, Congnos, Tableau, MicroStrategy, SSAS Cubes, Excel, Tableau, etc)
- Experience researching, analyzing and summarizing data into impactful business cases
- Hands On Experience supporting or working with BI /Data warehousing environments
- Advanced understanding of data warehousing and modeling concepts/ Understanding of supply chain operations
- Strong technical competency and ability to learn new systems fairly quickly
- Master's Degree or advanced degree in Finance, Economics, Engineering, Mathematics or related field
- Strong ownership instinct and desire to dig into the data available to improve existing analyses
- Effective written and verbal communication skills and ability to dive into the details, then explain results to senior leadership
- Ability to identify opportunities to improve performance of existing systems and processes
- Enjoys working with different environments- team or individual
178
Business Intelligence Engineer Resume Examples & Samples
- Bachelor degree in mathematics, statistics, computer science or a similar quantitative field
- 5+ years of experience as an Analyst building statistical models
- Experience dealing with very large databases
- Experience in using SQL to analyse data in a database or data warehouse and be able to use a major programming (e.g. Java/C) and/or a scripting language (Perl, UNIX shell) to process data for modelling
- Ability to present technical results to less technical audience
- Exceptional problem solver and fast learner
179
Business Intelligence Engineer, Amazon Games Resume Examples & Samples
- Serve as analytics expert in the Game Finance team, working directly with data engineers and scientists within business teams, senior management of business teams, and finance teams to provide data insights and business recommendations
- Influence business decisions with effective verbal and written communication, data driven insights and modeling, and presentation of options and alternatives
- Working with key business partners, design and lead the establishment of relevant, consistent, and accurate key business metrics and broader reporting of business performance
- Design, build and maintain database that can ingest data from multiple sources and answer technical business questions
- Conduct ad-hoc (e.g. life-time-value, return on marketing investment, causal drivers of conversion) analysis to support business development activities and new product planning
- Support the financial planning and analysis processes with metrics and data insights for financial risks, opportunities, and investment decisions
- Advanced modeling skills including advanced Excel skills
- Experience with reporting tools like Tableau or other reporting packages
- Broad understanding of Extract-Transform-Load processes, data architecture and design, and working with large data sets spread across multiple sources
- Proven ability to write and tune complex SQL queries/scripts
- MBA or Master’s degree
- Ability to work independently and self-motivate in a fast-paced and rapidly changing environment
- Ability to work with senior business partners in a fast moving business
- Strong written and verbal communication skills with a customer focused, professional demeanor
180
Business Intelligence Engineer Resume Examples & Samples
- Create and maintain data visualizations that inform and engage business partners on key metrics
- Data mine key performance indicators to discover root causes for customer dissatisfaction
- Conduct trending analysis to identify opportunities, highlight strengths, and provide recommended corrective actions
- Perform complex data analysis in support of ad-hoc reporting requests
- Develop programs, methodologies, and reports for analyzing and presenting data
- Supporting cross-functional teams on day-to-day execution of projects and process improvements
- 3+ years of direct experience in quantitative research or analyses
- Advanced experience with Excel, SQL and working with databases
- Proven ability to work independently in a fast-paced environment
- Strong organization skills and ability to multi-task and prioritize work
- Broad knowledge of basic statistics and statistical interpretation of quantitative data
- Working with remote teams
181
Lead Business Intelligence Engineer Resume Examples & Samples
- Provide design leadership in large or complex development projects involving application development, migrations, and additions to existing applications
- Participate in project meetings with other technical staff and business owners and subject matter experts
- Assess and develop high level design requirements for project and communicate in writing or in meetings with development team. Assess detailed specifications against design requirements
- Review application in progress of development to ensure compliance with overall design parameters and corporate development standards. Guide programmers/developers on technical issues
- Develop or review development of test protocols for testing application before user acceptance. Review test results and direct further development
- May serve as technical lead, architect, project lead or principle developer in course of large or complex project
- May provide, or guide provision of technical support to applications currently in production
- May mentor or guide work of less experienced programming and development staff
- Requires 8+ years of Business Intelligence tools, ETL tools, Data Mart / Data Warehouse Modeling, RDBMS (Oracle or SQL Server experience)
- Experience MicroStrategy Business Intelligence professional and exposure to ETL tools
- Develop standards, enforce best practices, patterns and processes to support and facilitate Business Intelligence / Data Mart projects and initiatives (Architecture, Design & Implementation)
- Experience or familiarity with AWS cloud platform is a big plus
- Prior experience working in Capital Markets preferred but not required
182
Business Intelligence Engineer Resume Examples & Samples
- Work with CMM from multiple project areas and deliver analysis to identify opportunities and risks
- Build and track performance metrics
- Perform dive-deep analysis of under-performing/over-performing metrics and present the findings of the analysis comprehensively
- Extract data required for analysis from multiple Internal Data Warehouses and Web Analytics Tools. This may involve building new tables in Data Warehouse if the required data is not available
- Work as a subject matter expert and raise the bar of business analytics
- Experience in data mining/analysis, working extensively in large scale databases and data warehouses (3+ years)
- Experience in advanced SQL operations (3+ years)
- Excellent written and verbal communication skills with the ability to present complex information in a clear and concise manner to stakeholders
- Quick learner with positive “can do“ attitude and solid professionalism
- Business Level Japanese and English (TOEIC 900+)
183
Business Intelligence Engineer Resume Examples & Samples
- Operational maintenance/support of daily/weekly/monthly reports and dashboards with data sourced from the central data sources using a variety of front end visualization tools including in house tools, Tableau, and Excel
- Utilize existing Oracle DB and newer RedShift DB to provide business metrics to a wide variety of global data consumers
- Take ownership for ensuring that existing scheduled reports run and deploy as expected; if exceptions occur, review reports to debug, repair, and communicate with customers regarding errors or exceptions to normal report schedules
- Work with business customers to identify new needs for data consumption, evaluate available tools, and create efficient reports to provide the requested data
- Participate in monthly sprints for new BI projects on the team's roadmap as requested
- Gather and understand business requirements to set functional specifications for reporting applications
- Clearly convey the key insights or "story" that is revealed by the data in visual formats that are grouped, summarized, or formatted to be easily understood and actionable
- Assists in the design and development of dashboards, reports, and other BI metrics
- Gathers and prepares data from multiple sources to support information analytics
- Utilize best practice principles in designing and conceptualizing dashboards and reporting from business requirements
- Ability to work in a highly collaborative environment with minimal supervision
- Provide input to project planning, status and review meetings
- 3-6 years of experience working with large-scale complex datasets
- Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
- Strong working knowledge of SQL
- Background (academic or professional) in statistics, programming, and marketing
- SAS experience a plus
- Graduate degree in math/statistics, computer science or related field, or marketing is highly desirable
- Excellent communication skills, equally adept at working with engineers as well as business leaders
184
Business Intelligence Engineer, Amazon Alexa Resume Examples & Samples
- Engineering or CS degree
- Development experience of using primary Amazon Web Services e.g. Amazon S3 and DynamoDB
- Development experience defining, modeling and implementing data structures
185
Business Intelligence Engineer Resume Examples & Samples
- Works with BI Analysts to understand customer needs. Analyzes business and functional requirements and translates them into robust, scalable, operable solutions
- Explores the data and discovers patterns, meaningful relationships, anomalies, and trends. Performs programming analyses for a wide range of requests using data in different formats and from various systems
- Collects, analyzes and shares data to help business teams drive improvements. Implements data structures using best practices in data modeling, processes and technologies
- Creates scalable, efficient, automated processes for large-scale data analyses, model development, model validation and model implementation. Documents standards and policies for the form, structures, and attributes for the BI tools and systems. Ensures adherence to process, policies and standards
- Ensures the collected data is within required quality standards. Maintains the quality of Metadata Repository by adding, modifying, and deleting data. Recommends quality metrics and ensures quality metrics are documented and tracked
- Troubleshoots BI tools, systems and software
- Troubleshoots reported data loads or reconciliation inconsistencies in conjunction with the sites for data model and/or reports
- Tracks, monitors and analyzes performance and production issues, and implements improvements
- Keeps customer informed about business intelligence tool problems and resolutions
- Conducts research and makes recommendations on BI products and services. Participates in vendor evaluation
- Designs and delivers end-user training
- Must have an in-depth knowledge of the business environment and strong analytical and communications skills
- 7 or more years of related technical experience
- At-least 3 years or experience supporting a major system
- In-depth knowledge of the industry and multiple business functional areas
- Expert skills in data analysis and data mining
- Hands-on experience supporting or working with Business Intelligence/ Data Warehousing environments
- Experience with SaaS based BI tools like Amazon QuickSight, Domo, Periscope Data etc
- Knowledge of AWS Architecture
- Experience with Administration, Architecture and report delivery using MicroStrategy
186
Business Intelligence Engineer Resume Examples & Samples
- Apply data mining, quantitative analysis, and statistics to understand how our customers interact with our business and how our business impacts Amazon
- Develop quantitative models, forecasts, and simulations to evaluate various trade-offs associated with a physical fulfillment operations
- Work closely with engineering teams to design and build scalable data solutions to support fast growth and continually align the BI roadmap to the needs of the business
- Manage and execute projects associated with data mining, manipulation, synthesis and modeling, and problem solving
187
Business Intelligence Engineer Resume Examples & Samples
- 5+ years of related work experience (data engineering, data warehousing, etc)
- Experience handling large data sets using SQL and databases in a business environment
- Good working experience on processing data on relational databases like Oracle/SQL Server/ Redshift/Tera data
- Experience with data loading and ETL technologies
- Oracle, Redshift, Linux experience will be an advantage
- Knowledge on non relational database and big data technologies
- Advanced degree (Masters, PhD) in relevant technical discipline
188
Business Intelligence Engineer Resume Examples & Samples
- 5+ years SQL experience
- Experience building data products for reporting or modeling purpose
- Elementary practice of python (for and while loops, functions, numpy, pandas, seaborn)
- Ability and motivation to learn and teach, a lot
- Master's Degree in statistics, computer science, or related field
- Understanding of the main machine learning concepts (classification, regression, clustering, cross validation, model evaluation)
- Experience with AWS S3, EC2, Redshift
- Supply chain experience
189
Business Intelligence Engineer Amazon Devices Resume Examples & Samples
- BS/BA Computer Sciences, Math, Statistics or related field
- 5+ years of professional experience in data modeling / advanced business analytics
- Advanced knowledge of SQL and experience with efficient processing of large data sets is a must
- Experience in designing and building data infrastructure/automated reporting tools
- Experience in predictive modeling/statistics/econometrics
190
Business Intelligence Engineer Resume Examples & Samples
- Create automated metrics, reports and dashboards using complex databases, data warehouses and web application technologies
- Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdowns
- Experience using one or more VBA, Python, MATLAB, Java, C++ programming languages
- Master’s degree or higher in Engineering, Math, Finance, Statistics, Computer Science, or other technical field from an accredited university · Familiarity with the processes used in Amazon fulfillment network and supply chain operations
- Working knowledge with Simulation tools such as SIMIO, ARENA and familiarity with Optimization solvers/software such as CPLEX, GUROBI and AMPL
191
Business Intelligence Engineer Resume Examples & Samples
- Define and deliver on complex analytical deep dives to unlock insights that drive business growth
- Own end-to-end production of metrics reporting that the organization relies on to run the business
- Act as Subject Matter Expert for anything analytics related to gift cards business
- Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Economics, Finance, Mathematics, Statistics, Engineering)
- 3+ years of relevant experience one of the following areas: data science, data engineering, business intelligence or business analytics
- Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets
- Knowledge of dashboard building using Tableau (or MicroStrategy or Looker)
- Ability to apply basic statistical techniques (i.e. hypothesis testing, A/B testing, linear regression)
- Ability to manage competing priorities simultaneously and drive projects to completion
- 3+ years of experience as a BI Engineer, Business/Financial Analyst or Systems Analyst in an internet-based company with large, complex data sources
- Superior dashboard building capabilities (Tableau or MicroStrategy or Looker)
- Experience with AWS services including S3, Redshift, EMR and RDS
- Experience with Machine Learning concepts and tools (Python experience is a strong plus)
- Previous experience with statistical and/or econometric modeling
- Experience in BI/DW as a change leader providing strategic research, recommendations, and implementations
- Demonstrated experience managing and prioritizing a project backlog
- Demonstrated experience defining and driving an analytics roadmap
- Advanced degree in a quantitative/technical field, or MBA
- Amazon is an equal opportunity employer
192
Business Intelligence Engineer Resume Examples & Samples
- Work with business partners, technical and developmental staff to develop requirements, help with the development, testing, implementation and support of a number of complex optimization and decision support tools designed to build and operate Amazon’s complex Middle Mile Transportation Network. Scope and manage enhancements of these tools post-implementation
- Design, implement and support simulation, optimization models and tools to support business’ planning and operational objectives
- Serve as the primary point of contact with business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
- 5+ years of relevant work experience in a role requiring application of analytic skills to integrate data into operational planning
- Experience writing scripts and a willingness to learn new methods (Perl, Python, Ruby, Groovy) to manipulate data and developing new software (Agile development, Java/C++)
- Recent experience applying visualization tools such as interactive GIS visualization and processing systems, Tableau, Qlik View to data elements
- Recent experience of implementing basic software solutions to automate data source, visualization and/or data modeling application
- Interpersonal skills, including written and oral communication skills. Excellent communication skills with both technical and business people
- Customer focus and professional demeanor
- Master’s Degree in Engineering, Operations Research, Economics, Statistics, Machine Learning, Data Science, Applied Mathematics, or a related field
- Experience in transportation and systems engineering, network design and topology, mathematical optimization, algorithm design and implementation, basic feedback mechanisms for decomposing complex problems and demand forecasting
- The ability to prototype models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, Matlab, Julia)
- Experience in transportation or retail industry
193
Business Intelligence Engineer Resume Examples & Samples
- Drive the data science roadmap for the Simulation team
- Work closely with Research Scientists with backgrounds in Operations Research, Statistics, Economics and Machine Learning to analyze data sets, develop prediction and attribution models and identify opportunities for algorithmic improvements
- Engage directly with software teams and Product Managers to shape the software product roadmap and prioritization
- Own creation and tracking of metrics for the simulation space to measure and improve simulation accuracy, fidelity, precision and validity
- Own data quality and ease of access to improve speed to insights
- Present regular updates to senior leaderships on metrics and business insights
- Bachelor's Degree in Computer Science, Statistics, Operations Research or a related technical field
- 3 years+ work experience including business analysis, consulting or data engineering
- Experience with modeling and analysis including statistical analysis, operations research or data mining
- Experience with SQL, Data Warehouse, ETL, RedShift, Scripting languages
- Strong problem solving and data analysis skills
- Experience with business applications such as Word, Excel and Project
- Advanced degree (Masters, PhD) or MBA
- Experience in Supply Chain and Inventory Management
- Ability to communicate effectively with both technical and non-technical individuals
- Understanding of Amazon technologies like DynamoDB, AWS, S3
194
Business Intelligence Engineer Resume Examples & Samples
- Own the implementation of our current suite of BI tools
- Enforce data governance policies across our portfolio of BI reporting
- Consult with cross-functional stakeholders in upstream data generation and collection procedures in order to ensure compatibility with our downstream tools and processes
- Work with analysts to productionalize repeatable reporting processes
- Evangelize and increase adoption of the BI solutions in the user community by demonstrating and continuously training the subject matter experts in the user community
195
Business Intelligence Engineer Resume Examples & Samples
- Assist with migration of FL and RL database systems to big data technologies
- Analyze business requirements from management and end-users to define necessary BI architectures
- Liaise with FL, RL, Quality, Inventory, Engineering, and Customer Service teams to generate BI reporting
- Write and tune SQL queries to support customer requests
- Sustain weekly, monthly and quarterly metrics reports for business reviews
- Support ad-hoc data analysis requests
- Provide management with fast and accurate data related to customer escalations
- Achieve and sustain expertise in ETL tools for varied data sources
- Execute test plans to validate new functionality for FL and RL business systems
- Audit quality and repair data from global vendors for accuracy
- Work with RL operations and quality/repair vendors to increase accuracy of data collection
- Provide continuous feedback regarding opportunities to improve efficiency and reduce complexity
- Bachelor’s degree in STEM, Finance or Business Administration fields
- 5+ years of experience as a Data Analyst or Business Intelligence Analyst/Developer
- Redshift/Postgres experience
- Python experience
- UNIX/Linux experience
- Knowledge of Amazon Redshift and/or Amazon Aurora systems
- Experience working in a global vendor environment
- Ability to evaluate product design and prototype BI reporting/dashboards
- Logistics experience
- Experience with very large and distributed databases systems
196
Business Intelligence Engineer Resume Examples & Samples
- Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations
- Mining and manipulating data from database tables, simulation results and log files
- Understanding the broad range of Amazon’s data resources, which to use, how, and when
- Thought leadership on data mining and analysis
- Experience building and validating analytical/predictive data models
- The ability to communicate clearly with coworkers
- Proficiency in statistical software such as R, S-plus, SAS, STATA
- Experience applying machine learning, statistical modeling or related analytic techniques
197
Business Intelligence Engineer Resume Examples & Samples
- BA/BS degree in computer science engineering, economics, statistics, mathematics, econometrics, or a similar quantitative field
- Working familiarity with industry standard data analysis and presentation tools
- Prior experience in design and execution of analytics projects
198
Business Intelligence Engineer Resume Examples & Samples
- Work with extremely large datasets and manipulate/mine data from database tables (Redshift, Oracle, Data Warehouse) to support complex analyses
- Communicate insights and recommendations to senior management and write one pagers to support the recommendations
- Own the design, development, and maintenance of ongoing metrics, reports and dashboards to drive key business decisions
- Own the vision and roadmap to scale our data platform and infrastructure
- Use machine learning and other statistical methods to tackle the largest, most interesting analyses in this space
- 7+ years of relevant experience, including
- Knowledge and direct experience using business intelligence reporting tools to produce actionable insights
- Experience in gathering requirements and formulating business metrics for complex reporting
- Experience using SQL, ETL, Tableau, and databases in a business environment with large-scale, complex datasets
- Extensive working knowledge of Excel
- Experience coding in Python, C++, R, or similar
- A self-starter comfortable with ambiguity, with strong attention to detail and an ability to work in a fast-paced and ever-changing environment
- Ability to balance scalability, performance, accuracy, and business needs in design decisions
199
Business Intelligence Engineer Resume Examples & Samples
- Drive the creation of complex reporting dashboards and ad-hoc data analysis tools using IBI 8 WebFocus
- Demonstrate expertise in Webfocus report builder
- Develop complex queries, data transformations and custom data visualizations using BI tools
- Work with Business Users and Analysts to analyze reporting needs
- Work with IT engineers to optimize report performance
- Develop and maintain documentation, as needed
- Assist in developing and maintaining scripts for use in unit and automated testing
- Design solutions that perform well, are scalable and easily maintained
- Be able to design, develop, enhance and maintain reports based on specifications provided
200
Business Intelligence Engineer Resume Examples & Samples
- 5+ years of professional experience in data modeling
- Advanced knowledge of SQL and experience with the efficient processing of large data sets is a must
- Experience in designing and building solutions with reporting tools such as MicroStrategy, Cognos, and Business Objects
- Experience leveraging data visualization tools such as Tableau
- Experience working with Amazon Web Services (AWS)
201
Business Intelligence Engineer Resume Examples & Samples
- BS/MS in Engineering, Statistics, Computer Science, Mathematics or related field
- 6+ years of relevant work experience, prior data mining experience will be a plus
- Advanced knowledge of SQL, Microsoft Excel and ETL
- Advanced analytical skills and attention to detail
- Organizational and multitasking skills with ability to balance competing priorities
- Experience building databases from the ground up
202
Business Intelligence Engineer Resume Examples & Samples
- Leads the design, development, evolution, and management of all supply chain metrics, projects and initiatives of various sizes and deadlines
- Independently run the business intelligence models, queries, reporting and requirements for the team, on time, with high integrity/quality
- Collaborates with internal stakeholders including Retail Business Owners, Fulfilled by Amazon, Operations, Regional Supply Chain Groups, technical teams
- Plans and facilitates the deployment of large change management initiatives related to the associated competitive pricing business intelligence implementation
- Creates and organizes policy, practices and governance program
- Ability to perform/own reoccurring and ad hoc business intelligence projects
- 5+ years’ experience in relevant field· Experience in using SQL to analyze data in a database or data warehouse and be able to use a major programming (e.g. Java/C) and/or a scripting language (Perl, Unix shell) to process data for modeling
- MBA or Master’s degree in related field (mathematics, statistics, computer science or a similar quantitative field)
- 7+ years’ experience in relevant field· Experience in using SQL to analyze data in a database or data warehouse and be able to use a major programming (e.g. Java/C) and/or a scripting language (Perl, Unix shell) to process data for modeling
- 5+ years of experience working in a Supply Chain environment
203
Business Intelligence Engineer Resume Examples & Samples
- Collaborate with product managers, data engineers and software engineers to develop and operate our data processing toolset
- Understand the Amazon data structures (MySQL/Oracle/Redshift)
- Partner with Engineering/Data Engineering to improve the quality of existing data and bring additional data sources in line
- Write sophisticated SQL queries to extract data and build complex models (Excel/R/etc.)
- Build/automate reports/dashboards that allow the business leaders to get a clear snapshot of their operations
- Perform complicated analyses to extract learnings and drive insights
- Communicate insights to the business partners, RO&I leadership, and Amazon stakeholders - emphasizing clarity, completeness, and actionability
- SQL – write sophisticated and optimized queries against large databases
- Excel – create complex, scalable, and robust models
- Business Acumen – understand business drivers and have a framework-driven process of analyzing business problems and developing solutions
- Communication – share insights in a way that is easy to grasp and actionable and build relationships to help drive adoption of data- and insights-driven decision making
- Tableau – build clear and actionable dashboards (nice to have)
- Scripting – use a scripting language like python/R (nice to have)
- Undergraduate degree in a highly quantitative/technical field (e.g. Physics, Computer Science, Economics, etc.)
- 3+ years of experience and steadily increasing responsibility in an analytics function – ideally in a consumer-facing business
- Proven ability to solve business problems and provide clear and analytically-supported solutions
- Demonstrated intellectual curiosity
- Knowledge of AWS, Redshift a plus
204
Business Intelligence Engineer Resume Examples & Samples
- Work directly with our business teams to size, scope, build, and maintain data infrastructures, automation tools, and reporting dashboards for existing and new business initiatives impacting the largest advertisers in the world
- Translate the BI needs of the business team and interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and scripting languages
- Automate reporting and data visualization products to be delivered to sales management, sales representatives, and other non-technical stakeholders
- Apply predictive analytics techniques that contribute to our long-term roadmap of prescriptively identifying opportunities for business engagement, and surface them via BI software or tools we build internally
- Expertise in data visualization tools like Tableau or AWS Quick Sight
205
Business Intelligence Engineer Resume Examples & Samples
- 1) Collect, identify and prioritize analytical problem statements to ensure BI team works on the highest impact projects and earn stakeholder trusts
- 2) Define and deliver on complex analytical deep dives to unlock insights that inform Amazon’s traffic investment and traffic marketing strategies
- 3) Propose, define and align senior leaders on the right metrics to track business performance and own end-to-end production of these metrics
- 4) Coach fellow analysts and business intelligence engineers and ultimately raise the bar of analytical excellence across Amazon’s Consumer Marketing organizations
- Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Economics, Finance, Mathematics, Statistics, Engineering)
- 4+ years of relevant experience in one of the following areas: data science, data engineering, business intelligence or business analytics
- Demonstrated ability in formulating analytical business problem statements, executing the analysis and presenting insights in crisp business language
- Proficiency in writing complex, highly-optimized SQL queries across large datasets
- MBA or advanced degree in analytics, computer science or data engineering
- 5+ years of experience as a BI Engineer, Business/Financial Analyst or Systems Analyst in an internet-based company with large, complex data sources
- Proven dashboard building and data visualization capabilities (Tableau, MicroStrategy or equivalent)
- Experience with Machine Learning concepts and tools (Python proficiency a strong plus)
- Knowledge with statistical or econometric modeling
206
Business Intelligence Engineer Resume Examples & Samples
- Architect, design, implement, and support a platform providing secured access to large datasets
- Interface with business customers and delivering complete BI solutions
- 5+ years of relevant experience in business intelligence role, including data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions, experience in analytics, business analysis or comparable consumer analytics solutions
- Excellent Knowledge of data warehousing concepts
- Knowledge of AWS Infrastructure, Redshift, any Hadoop, NoSQL Database & Technology
- Candidates with a Ph.D. or MS degree in a relevant field are preferred
207
Business Intelligence Engineer Resume Examples & Samples
- 5+ years experience in an analysis or research role with progressively increasing responsibility
- Experience analyzing data and communicating the results to business leaders
- Knowledge of statistics and their application in representation of data in the form of reports
- Experience with Unix tools / direct shell interaction
- Experience in scripting languages for parsing and data analysis
- SQL databases and Excel to manage and analyze large data sets
- Master’s degree or higher degree in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering
- Ability to read / write Java or other higher level languages
- Ability to interact with NoSQL data stores such as S3 or Dynamo DB, requiring scripting and parsing
208
Business Intelligence Engineer Resume Examples & Samples
- Generate Impact: We want someone obsessed with impact. We don’t want someone that is just willing to find interest insights and patterns from data. We want someone that understands how to turn those insights into value every day
- Knowledge and direct experience using BI reporting tools. (OBIEE, Business Objects, Cognos, MicroStrategy, etc.)
- Experience with statistical modeling, data mining and analysis (e.g. SPSS, SAS, etc.)
209
Business Intelligence Engineer Resume Examples & Samples
- Advanced degree in computer science, statistics, information systems, economics, mathematics or similar
- Few years of experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models
- Strong proficiency in SQL is required
- Strong Python skills
- Very strong self-learning skills. Ability to pick up and adapt modeling methods from other disciplines or leverage methods from colleagues in other departments
- Practical understanding and hands-on experience with the following
- Supervised learning methods (linear and logistic regression, generalized linear models, decision trees, random forests, support vector machines, graphical models, neural networks / deep learning, etc.)
- Unsupervised learning methods (K-means, hierarchical clustering, association rules, principal components, etc.)
- Mathematical optimization (mixed integer programming, linear programming, stochastic programming/optimization discrete optimization convex optimization, reinforcement learning, etc.)
- PhD in a quantitative field such as Economics, Mathematics, Information Systems, Statistics, Operations Research or Computer Science
- Few years of experience in data science, business intelligence or machine learning engineer position
- Experience in building chatbots, AI assistants, working knowledge of reinforcement learning and deep learning applications
- Verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams
- Experience solving complex quantitative business problems
210
Business Intelligence Engineer Resume Examples & Samples
- Develop FL and RL database systems using big data technologies
- 3+ years of experience as a Data Analyst or Business Intelligence Analyst/Developer
- Ruby on Rails Experience
211
Business Intelligence Engineer Resume Examples & Samples
- Experience working on a BI/Data Warehouse team
- SQL Skills
- Experince with ETL/BI Reporting Skills
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V.i.e Business Intelligence Engineer H/F Resume Examples & Samples
- Understand and map all airports structured and unstructured data used and generated by airports systems, aero systems, retail systems and end-users
- Design the processing of data at scale (such as ETL) using a framework of existing tools, vendors and services
- Take the lead for technology/vendor selection and bring its technical expertise to establish a powerful framework
- Work closely with vendors to implement amazing data innovations and algorithms to compute our data
- Work closely with BI end-user needs to implement an efficient presentation layer
- Make proposition of innovative business approaches using BI technologies
213
Business Intelligence Engineer Resume Examples & Samples
- Communicate insights and recommendations to senior management and write white papers to support the recommendations
- Automate reporting with a combination of SQL, Excel, and BI tools like Tableau
- Effectively balance scalability, performance, accuracy, and business needs in design decisions
- Design and maintain metrics models and reports based on collected data
- Drive business-critical projects across the program
- Masters in Analytics or Statistics
- Experience developing ETL/ELT solutions within a Data Warehouse environment
- Excellent communication, planning, presentation and organization skills
214
Business Intelligence Engineer Resume Examples & Samples
- Equivalent experience to a Bachelor's degree based on 3 years of work experience for every 1 year of education
- 2+ years professional experience in software development
- Computer Science fundamentals in object-oriented design
- Computer Science fundamentals in data structures
- Experience supporting complex software systems that have been successfully delivered to customers
- Translate ambiguous business problems into actionable analysis requirements and work with operations teams to gather valuable insight
215
Lead Business Intelligence Engineer Resume Examples & Samples
- Follow and/or support prescribed project management guidelines. Project management responsibilities include documentation of design and technical testing, as well as managing and negotiating project scope, timelines and developing/defining project deliverables with business customers
- Bachelor’s Degree in computer science, math or other related area. In lieu of a degree, relevant experience will be accepted
- 8 years of relevant experience
- Strong SQL skills in complex data architectures within Teradata or other data warehouse environments
- SAS Macros experience with the ability to read and interpret SAS source code to determine functionality and the ability to modify according to specification
- SAS Procedures experience with SQL, SUMMARY, FREQ, SORT, UPLOAD\DOWNLOAD, IMPORT\EXPORT, FORMAT, etc
- SAS BI Tools experience with Enterprise Guide, OLAP Cube Studio and PC SAS
- Strong technical skills and must be comfortable and proficient using large and complex databases
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Lead Business Intelligence Engineer Resume Examples & Samples
- Keep abreast of new BI and related technology and trends and assess when and if new technology is needed
- Provide input to business cases, contracts, project plans, scope of work, status and project summary reports
- Minimum 2 years’ experience with Hadoop
- Integrating third-party grid computing versions of tools like SAS or R
- Experience with Hive and Impala
217
Business Intelligence Engineer Resume Examples & Samples
- Develop and execute standardized reporting and analysis to improve our understanding of customer behavior. Retrieve and analyze complex and large data sets to provide insights on customer life cycle and customer engagement. Analyze historical data to identify significant trends and drivers
- Help develop A/B test scenarios and monitor results of customer engagement initiatives. Propose recommendations based on the analysis of those results
- Provide support for new functionalities and product launches within the Amazon Digital Music ecosystem. Assist in the definition and delivery of a marketing strategy for these new releases
- BA/BS degree in Mathematics, Statistics, Computer Science, or any other quantitative field; MBA preferred
- 5+ years professional experience in Analytics, Business Intelligence, or a Data Science role preferably in an e-commerce or retail company with large, complex data sources
- Advanced SQL writing skills and experience querying very large relational databases
- Experience building and applying statistical models for forecasting, predicting outcomes, or understanding relationships in data
- Must be passionate about data analytics and have a natural curiosity and ability to dive deep into large datasets uncovering insights and presenting relevant findings to business partners
- Ability to quickly gain a deep understanding of our BI platforms, database schemas, ETL’s, and business logic with an ability to apply critical thinking skills towards gathering and analyzing data
- Excellent communication skills, both verbal and written, are required as you will draft narratives outlining your findings, explaining variances against goals, and present these finding in a review forum
- Strong ownership and bias for action; ability to internalize goals and work independently to crate appropriate action plans for those goals
- Strong problem-solving and critical thinking skills; ability to analyze issues and create appropriate tactical plans
- Meticulous attention to detail; ability to juggle many tasks in parallel without lowering quality bar
- MS degree in Mathematics, Statistics, Computer Science, or any other quantitative field
- Professional experience using big data technologies (Hadoop, Map Reduce, etc)
- Knowledge and experience manipulating data and building statistical models using Python or R
- Strong understanding of digital media services and business models preferred
- Passion for Music preferred
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Ghrs, Business Intelligence Engineer Resume Examples & Samples
- Assist in operationalizing econometric and statistical models
- Perform model refreshes or updates to analyses as needed
- Work collaboratively with economists and research scientists to assist in the design and implementation of analysis to answer challenging HR questions
- Interpret and communicate results to outside customers
- Drive operational excellence for data ingestion, transformation, and publication to ensure confidence in the systems we build
- Aggregate and analyze data pulled from disparate sources (HR, Finance or other business systems) and related industry and external benchmarks; provide insights and a point of view on analysis and recommendations
- Tune query performance using profiling tools and SQL
- Assist in the design and delivery of automated, scalable analytical models to stakeholders
- Bachelor’s Degree in a technical or analytical field (economics, math, statistics or data science)
- Proficient in Python, R, or some combination
- Knowledge in data analysis technologies (R/Python-Pandas, Numpy, Stats models, Scikit learn)
- Advanced data analysis skills – e.g. database query construction, data warehousing, regression modeling, and experience in business analysis or consulting
- Experience building forecasting models related to workforce movement, customer relationship management, or sales
- Knowledge in SQL, databases and ETL jobs
- Experience in building automated analytical systems utilizing large data sets
- Self-starter with the ability to work independently
- Great organizational skills and attention to detail; you prioritize multiple tasks simultaneously without sacrificing the ability to dive deep
- Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
- Advanced knowledge and expertise with data modelling skills, advanced SQL with PostgreSQL and other Columnar Databases
- Knowledge in Big Data Technologies (HDFS, Hive, Spark, etc.) for managing large datasets
- Familiarity with Tableau, RedShift, EC2 and S3
219
Business Intelligence Engineer Resume Examples & Samples
- Work with finance and engineering users throughout the Amazon Payments organization to determine the metrics, reports, and analyses needed to manage and act on the business
- Design, architect, implement, and support key datasets that provide structured and timely access to actionable business information with the needs of the end customer always in view
- Retrieve and analyze data using SQL, Excel, and other data management systems
- Evaluate and implement process and system improvement opportunities
- Monitor existing metrics, analyze data, and partner with other internal teams (engineering, compliance, technical operations, and sales) to identify and implement process and system improvements
- Partner with customers to answer key business questions
- Bachelor’s degree in Computer Science or a related technical field from an accredited institution, and 4+ years of relevant employment experience
- Advanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets
- 3+ years of developing end-to-end Business Intelligence solutions: data modeling, ETL and reporting
- Master’s Degree in Computer Science, Engineering, Math, Statistics or related discipline
- Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses
- Strong verbal and written communication skills, including an ability to effectively lead and influence interactions with both business and technical teams
- Experience with AWS technologies or Tableau
220
Business Intelligence Engineer Resume Examples & Samples
- Design and develop metrics, reports, analyses, and dashboards to drive key business and product decisions
- Collaborate with applied scientists and software engineers to develop and productionalize machine learning prediction models for real time order forecasting, personalization, driver route optimization and performance tracking
- Work closely with Marketing team to develop customer segmentation and retention models
- Drive deep statistical analyses to answer top business questions such as optimal selection, personalization strategies, and delivery cost optimization
- Work with Sales leadership to come up with expansion strategies
- Possesses excellent communication skills and business understanding with the ability to influence leadership and partner teams
- Enjoys partnering with business owners to identify the right questions to answer, and analyze data to answer them
- 3-5 years of relevant experience with business analytics and statistical modeling
- Master’s degree or higher with additional experience
221
Business Intelligence Engineer Resume Examples & Samples
- Use business intelligence and visualization software (e.g., Oracle Data Warehouse, Redshift, Tableau, R, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
- 5+ years of experience as a BI Engineer, Business/Financial Analyst or Systems Analyst preferably in an internet-based company with large, complex data sources, or in an analysis or research role with progressively increasing responsibility
- Understanding of advanced data warehousing concepts and track record of applying these concepts on the job
- Demonstrated experience in using SQL and working with large-scale, complex datasets and database modeling in a business environment
- Experience with ETL development, Data Warehouse solutions
222
Business Intelligence Engineer Resume Examples & Samples
- Review requirements, specifications, business processes and recommendations
- Work closely with Project Managers and members of the Development Team to develop detailed specification documents with clear project deliverables and timelines and to ensure timely completion of deliverables
- Define appropriate architecture and other technical solutions and make recommendations to Business
- Support colleagues to identify emerging technologies or applications and consider the opportunity to integrate them into operations and activities
- Responsible for all test & development environments required for project delivery
- Estimate tasks required to complete various development projects including time and resources
- Strong SQL knowledge and tuning skills and Oracle database design
- Knowledge in using OLAP technologies and BI Analytics, along with an understanding of different data warehousing and dimensional modelling concepts
- Knowledge on at least 3 of the following tools: MS SSIS/SSAS/SSRS, Oracle ODI, SAP Business Objects, Oracle APEX, Oracle Golden Gate, Informatica, Siebel Analytics, IBM SPSS
- Knowledge of PL/SQL – Unix Scripting
- Design on the normalized Teradata cLDM model
- Knowledge of the Telco Industry and its products
- Promoter of cooperation and commitment within a team to achieve goals and deliverables
- Management of own time, priorities, and resources to achieve goals
- Higher education in Computer Science or a related field
- At least four years work experience in a similar position, preferably in the field of Telecommunications and Information Technology
223
Business Intelligence Engineer Resume Examples & Samples
- Uncover trends and correlations to develop insights that can materially improve our product decisions
- Apply data mining, quantitative analysis, and statistical models to understand how our customers interact with us and identify the best way to improve the customer experience and meet our goals
- Collaborate and partner across the organization to develop best practices for your function and advocate for improvements in enterprise-wide tools
- Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc. to drive key business decisions
- Bachelor’s degree in a quantitative discipline such as Computer Science, Engineering and Economics, or equivalent qualifications/experience
- 3+ years of professional experience in advanced business/customer analytics, statistical analysis, and data mining
- 3+ years of professional experience in project management
- 3+ years of professional experience of SQL and experience with efficient processing of large datasets
- Experience in designing and building data infrastructure / automated reporting tools
- Excellent written and verbal communication skills to convey key insights from complex analysis in summarized business terms
- Knowledge and direct experience using BI reporting tools (Tableau, OBIEE, Business Objects, Cognos, MicroStrategy, etc.)
- Experience with AWS or other cloud based technologies
- Knowledge of R, Python or other statistical modeling languages/ toolboxes
- Experience with statistical modeling, data mining, and machine learning (R, Python, SAS, etc.)
- Experience working in a high-growth technology company
224
Business Intelligence Engineer Resume Examples & Samples
- Working closely with applied scientists in the team to drive new feature creations and generating the datasets for model training/validation
- Interfacing with business customers, gathering requirements and developing new datasets in data warehouse
- Building and migrating the complex ETL pipelines from Oracle system to Redshift and Elastic Map Reduce to make the system grow elastically
- Bachelor’s degree in Computer Science or a related technical field from an accredited institution, and 5+ years of relevant employment experience
- 5+ years of industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem
- Exposure to software development process
- Experience with designing and implementation of big data systems
225
Business Intelligence Engineer Resume Examples & Samples
- Lead customer utilization research projects to better understand how our customers are using our product
- 3-5 years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field, and 7-10 years professional experience (experience in consumer-facing industry preferred)
- Knowledge of at least one common data science programming language (e.g. R, SAS, SPS)
226
Business Intelligence Engineer Resume Examples & Samples
- · Design, implement, and support a platform providing ad hoc access to large datasets
- · Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
- · Manage AWS Resources
- · Model data and metadata for ad hoc and pre-built reporting
- · Interface with business customers, gathering requirements and delivering complete reporting solutions
- · Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
- · Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- · Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
- · Participate in strategic & tactical planning discussions, including annual budget processes
- 3-5 years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field
- Experience with large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
227
Business Intelligence Engineer Resume Examples & Samples
- Performs problem analysis and system design utilizing a solid understanding of business system functions and requirements
- Develops and modifies complex business systems application programs
- Prepares test data and test plans. Tests and debugs programs
- Prepares flow diagrams and writes operating instructions and procedures for computer operators
- Creates necessary technical and functional documentation
- Participates in creation of global IT development processes and policies
- Responsible for maintaining project source control and adhering to change control processes
- Provides accurate time estimates for development tasks and projects
- Prepares test data and test plans. Tests and debugs solutions
- Prepares flow diagrams and writes operating instructions and procedures for service consumers
- Strong working knowledge of SAP BI 4.* tools including Webi, Analysis for OLAP/Office, Design Studio, Lumira
- Analyze, design, development and configuration of reports for business users leveraging SAP Business Warehouse databases (BW 7.4 on HANA). Activities also include working with business users to establish requirements for new reports and modify existing reports
- Architect, design, develop and maintain BW data objects including InfoObjects, InfoSources, Transformations, ODS, ADSO, Info Providers, and Composite Providers
- Be thorough in testing both existing BI Objects and newly developed solutions
- Define formal departmental methodologies and procedures for BI based on best practices in the industry to perform requirements gathering, design architecting for optimum performance, prototyping, and development , and deployment with a minimum of design changes
- Acts as the lead technical BI resource in the requirement gathering process for complex projects to ensure that definitions of the new requirements are clearly defined and understood and are in accordance and compliance with best practices from a BI architectural perspective
- Perform BI unit testing for SAP upgrades and enhancements
- Understand how to manage the BI landscape with key users operating under a self-service model on visualizations and report drill downs
- Conduct technical overviews and software capability demonstrations/training to key process owners
- Organize, create and maintain critical technical and functional documentation for related business processes, including technical specifications, test plans and training materials
- Trains and mentors other BI personnel
228
Business Intelligence Engineer Resume Examples & Samples
- Responsible to enhance the quality and usability of Associate Development’ data; develop the data storage strategy and design data views for team needs
- Diagnose the most complex data and analysis problems; identify root issues and develop solutions that serve as models for future best practices
- Influence consistent measurement of Associate Development initiatives across all data stores and outputs
- Drive for results on complex projects, often without direct authority over resources
- Influence leaders to make thoughtful data decisions to provide the most consistent and usable data for all teams across the company
- Influence analysis best practices and create processes to enforce best practices
- Research and validate in-demand occupations across multiple countries for Career Choice eligibility
- 4-6 years of experience as a BI Engineer, Business/Financial Analyst or Systems Analyst
- Excellent ability using databases in a business environment with large-scale, complex datasets; proficient in SQL, Python, RedShift, and ETL
- Proficiency in statistics and use of statistical applications, such as R or SPSS
- Capable of taking responsibility for an initiative and working with minimal direction; self-starter even when assignments are vague or undefined
- Ability to handle confidential and sensitive information with extreme discretion, including handling encrypted files
- Experience in developing forecasting models
- Proficiency in Unix and scripting languages (Ruby, Perl, etc.)
229
Business Intelligence Engineer Resume Examples & Samples
- Familiarity with EMR, Hive, and/or EDX
- A track record of project delivery for large, cross-functional projects
- Experience collaborating with multiple development teams to accomplish large goals
230
Business Intelligence Engineer Resume Examples & Samples
- Advanced degree (M.S.) in Engineering, Math, Statistics, Finance, Computer Science, or related industry experience
- 3+ years experience as a business analyst, data scientist or similar job function
- 1+ years of quantitative experience in Logistics/Supply Chain, Transportation, Engineering or related Businesses
- 1+ years experience with statistical tools (e.g. R) and analysis, regression modeling and forecasting, time series analysis. Able to write SQL scripts for analysis and reporting ( SQL, MySQL)
- Experience using one or more programming languages (e.g. Python, Java, C++, C#, Ruby)
- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
- Strong attention to detail, excellent organizational skills, and ability to manage multiple projects and responsibilities
- Demonstrated ability to frame complex analytical problems and extract insights that led to tangible business results
- Experience reporting compelling and concise data insights to leadership
231
Manager Business Intelligence Engineer Resume Examples & Samples
- Managing a team of BIEs
- Use business intelligence and visualization software (e.g., AWS, Redshift, Tableau, QuickSight, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
- Collaborating with engineers to implement the design of the data architecture
- Identifying data needs and driving data quality improvement projects
- Develop a deep understanding of AWS’s vast data sources and tools
- Building predictive model and develop machine learning algorithms
- This is a tremendous opportunity for BI design & data analysts who want to develop creative, new and innovative ways of interacting with and interpreting business key performance indicators, and shape the future of Transportation BI. We're looking for innovators who want to create reliable and scalable solutions to help our leaders create the appropriate Transportation and Logistics strategies possible for Amazon Supply Chain
- 7+ years of experience as a BI Engineer, Business/Financial Analyst or Systems Analyst preferably in an internet-based company with large, complex data sources, or in an analysis or research role with progressively increasing responsibility
- Demonstrated experience in using SQL, ETL development, Data Warehouse solutions and database modeling in a business environment with large-scale, complex datasets
- Proven analytical and quantitative skills including advanced statistical analysis and forecasting experience
- Experience managing teams
- Small Parcel and/or LTL Transportation Experience
- Experience in developing forecasting models and using machine learning
232
Business Intelligence Engineer Resume Examples & Samples
- Bachelor’s degree / MBA Preferred
- Bachelor’s or advanced degree in Business, Computer Science, Information Science or related education
- 10+ years of experience managing large scale data warehousing and business intelligence infrastructure
- Experienced in AWS Suite of Services
- Experienced and advanced in Python
- Experienced and advanced in SQL
- Experienced and advanced in R
233
Business Intelligence Engineer Resume Examples & Samples
- Demonstrated 1+ years of disciplined analytical and quantitative skills; ability to use data and metrics to back up business cases, planning and decisions
- Deep SQL and Excel skills; broad experience with business intelligence tools
- Experience with a scripting language such as R or Python
- Able to source, work with, and combine disparate data sets to answer business questions
- Excellent communication and data presentation skills that allow you to clearly, compellingly, and effectively influence audiences internally and externally, across organization boundaries
- Able to deliver complex analysis projects from initiation through delivery, including leading other analysts
- Anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance the business needs versus technical constraints
- Able to operate autonomously, making the right judgment calls on approach, priorities, and solutions
- Go beyond process requirements documentation by creating prototype database tools that automate Excel driven processes
- Project Management skills and experience a plus
234
Business Intelligence Engineer Resume Examples & Samples
- Design, implement, and support data warehouse infrastructure using AWS cloud technologies
- Create ETLs to take data from various operational systems like Adobe Target, Adobe Connect, Sales Force and create a unified dimensional or star schema data model for analytics and reporting
- Support Technical Program Manager, Research Scientist, and a growing virtual team aimed at analyzing usage data to derive new insights and fuel customer success
- Use business intelligence and visualization software (e.g., OBIEE, Amazon Quicksight, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
- Develop a deep understanding of AWS’s vast data sources and know exactly how, when, and which data to use to solve particular business problems
- Monitor and maintain database security and database software
- Work with business owners to build data sets that answer their specific business questions
- Bachelors degree in CS or related technical field and 5+ years of experience in data warehousing
- 5+ years of relevant experience with ETL, data modelling, and business intelligence architectures
- Knowledge of SQL and Unix/Linux
- Understanding of advanced Data Warehousing concepts and track record of applying these concepts on the job
- Experience building self-service reporting solutions using business intelligence software (e.g., OBIEE, Amazon Quicksight, etc.)
- Experience with Informatica Cloud (integrating systems using API connectors)
- Experience with scripting languages like Python, Ruby, or Unix shell scripts
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Business Intelligence Engineer Resume Examples & Samples
- Recent working knowledge of a major BI Tool (Tableau preferred)
- SSAS Cube Architecture and Design
- Security implementation in databases and BI solutions
- Agile BI DW development methodologies
- TDWI -CBIP -Certified Business Intelligence Professional
- Microsoft - MCITP - BI Developer
- 1192016AM
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Business Intelligence Engineer Resume Examples & Samples
- Developing intelligent, insightful reporting on the key drivers of our business. Change the way we look at the business
- Presenting written recommendations and insights to key stakeholders and senior leadership
- Bachelor’s degree required, MS or MBA is preferred
- 3+ years of experience in Data Analysis, or equivalent experience in Finance or Operations
- Demonstrated experience to operate both strategically and operationally while managing multiple competing priorities and projects in a fast-paced environment while maintaining a high-bar on data integrity
- Excellent business judgment with strong written, verbal, listening, communicating, and negotiating skills
- Experience presenting to all levels within the enterprise
- Graduate degree in Information Systems or Business preferred
- Advanced SQL and Excel skills, familiarity with statistics or other analytical techniques
- Creative in finding new solutions / designing innovative methods, systems and processes
- Extensive experience working on complex, cross-functional initiatives in a dynamic environment
- Excellent organization skills to work across functions and upwards
- Ability to use data to back up assumptions, develop business cases, and complete root cause analyses
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Business Intelligence Engineer Resume Examples & Samples
- Conduct deep dive analyses of business growth opportunities and formulate conclusions and recommendations to be presented to senior leadership
- Produce written recommendations and insights for key stakeholders that will help shape effective strategies to better meet our customers’ needs
- Build solutions to have maximum scale and self-service ability by stakeholders
- Demonstrated ability to manage and prioritize workload and roadmaps
- Familiarity with AWS solutions such as EC2, DynamoDB, S3, and Redshift
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Business Intelligence Engineer Resume Examples & Samples
- Bachelors Degree in an engineering or technical field
- 5+ years experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools
- Experience in relational database concepts with a solid knowledge of SQL, including ability to write complex queries against one or more schemas
- Strong knowledge of various data warehousing methodologies and data modeling concepts. Hands on modeling experience is highly desired
- Experience in one of the modern reporting tools such as Tableau, QuickSight etc
- Ability to do financial and statistical modelling
- Experience with Big Data technologies such as Hadoop/Hive
- 6-7 years experience Data Engineeirng / Business Intelligence
- Good working knowledge of RDBMS and Datawarehouse environment
- Knowledge of Tableau preferred
- Knowledge of Columnar databases preferred
- Familiarity with AWS technologies preferred
- Experience with Big Data technologies such as Hadoop/Hive preferred
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Business Intelligence Engineer Resume Examples & Samples
- Contribute to the design and architecture of the BI ecosystem that can support analytical and real time reporting
- Develop and support the analytical technologies that give our customers timely, flexible and structured access to datasets
- Interface with business customers, and collaborate with other BIEs, DEs and SDEs to deliver the complete reporting solutions
- Contribute to the automation and optimization for all areas of BI system maintenance and deployment (operational excellence)
- Training and mentoring solutions that enable business stakeholders to get the most out of our self-serve reporting tools
- Bachelor's degree in Computer Science or a related technical discipline
- Ability to write high quality, maintainable, and robust code, often in analytical SQL
- Expertise in the design, creation and management of reporting system
- Strong analytical, data visualization and problem solving skills
- Ability to work with business owners to define key business requirements and convert to technical specifications
- Experience with reporting tools - Tableau (preferred), QuickSight, OBIEE
- Experience working in a UNIX/LINUX environment
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Business Intelligence Engineer Resume Examples & Samples
- Work closely with the BIE team to identify and address issues and opportunities
- Analyze key metrics to uncover trends and root causes of issues
- Build metrics to measure key inputs and output metrics that drive Prime Photos and Amazon Drive
- Provide business feedback to guide the business teams, product engagement, and design teams
- Develop deep dive tools for key metrics
- Bachelor's degree in Computer Science or a related technical field
- 5+ years of experience with data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures
- Experience with an enterprise class BI tool like Micro Strategy, Business Objects, Tableau, Oracle Business Intelligence
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Business Intelligence Engineer Resume Examples & Samples
- Gather and transform business requirements into innovative Business Intelligence solutions that effectively support our global business
- Document designs, specifications, and flow diagrams to assist in development, support, and problem analysis
- Develop dashboards and reports; meeting critical business requirements and timelines
- Drive data model design, and ETL processes for the enterprise Data Warehouse
- Develop, execute, and document test plans
- Interact with business users and technical teams throughout the development life-cycle; analyzing problems and clearly articulating solutions
- Deploy MicroStrategy releases of Business Intelligence solutions
- Demonstrated proficiency in Data Warehouse concepts, with experience in Netezza Data Warehouse appliances a plus
- A Bachelor’s Degree in Computer Science, Management Information Systems, or closely related field; 2-3 y ears of experience with MicroStrategy, (Tableau, SAP) dashboards and report development
- Reliability and consistency in his/her ability to deliver on commitments; meeting timelines, and anticipating business teams’ needs
- Experience in developing and deploying MicroStrategy reports and dashboards to mobile platforms
- Proficiency in SQL, and developing MicroStrategy objects, filters, prompts, and metrics.If you are ready to innovative and drive our data platforms by developing and implementing solutions that demonstrate value to our teams and customers, apply now!Brands That Empower
- People Who Perform
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Business Intelligence Engineer Resume Examples & Samples
- Must be flexible and work analytically in a problem-solving, results oriented environment
- Responsible for implementing logical design of both data-marts and data warehouse schemes
- Work closely with clients and IT teams to turn data into critical information and knowledge that can be used to make sound business decisions
- Improving and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value
- Expertise in ETL (extraction, translation, and load) programming
- Expertise in business intelligence tools (i.e., MDX,OLAP, reporting tools)
- Experience with Analysis Services and MS SQL Server Reporting Services (SSRS)
- Strong knowledge of relational, SQL and dimensional databases
- Experience for implementing logical design of both data-marts and data warehouse schemes
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Business Intelligence Engineer Resume Examples & Samples
- Translates business needs into technical code
- Maintains and supports code
- Creates ad hoc data queries and solve data related reporting issues and document reports created
- Ensures reported output is accurate and matches user requirements
- Understands complex business rules and objectives and implements solutions accordingly
- Performs data and systems analysis to determine best business solution (reports, dashboards, scorecards, data cubes)
- Monitors and addresses data quality issues
- Manages medium to large projects including leading organizational projects
- Reviews and validates work performed by other developers and provides recommendations for improvement
- Partners with key stakeholders including leaders, physicians, and staff to understand business needs in order to provide recommendations, user support and training
- Bachelor's degree Computer Science, Statistics, Data Analytics, or related technical field
- Clarity Data Model Certification through Epic
- Minimum of 3 years data analysis & reporting and database management, preferably in healthcare
- SQL, Business Objects including Crystal Reports and WebIntelligence, McKesson Performance Analytics suite, ability to write reports based on user requirements, understand underlying data relationships, and provide guidance on next steps or actions based on the data provided, experience working with MS Office especially Excel, experience reporting against electronic medical record systems (Epic preferred), and/or ERP systems (Lawson/Infor preferred), excellent listening, interpersonal, written, and oral communication skills
- Analytical Thinking: Ability to Identify issues, obtain relevant information, relate and compare data from different sources, and identify alternative solutions
- Decision Support: Collection, examination, and interpretation of quantitative data to discover its underlying causes, patterns, relationships, and trends use to aid in decision making
- Interpersonal Communication: Skilled in developing effective rapport with customers, co-workers, or families, actively listening to develop a positive connection
- Learning Agility: Learns quickly when facing new problems, open to change, analyzes both successes and failures for slues to improvement, experiments and willing to try new things to find solutions
- Problem Solving: Identifies problems
- Determines accuracy and relevance of information
- Utilizes appropriate tools and staff resources along with sound judgment to generate and evaluate alternatives, and to make recommendations
- Troubleshooting: Ability to identify, diagnose, and correct problems with workstation, server, and network hardware and software
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Business Intelligence Engineer Resume Examples & Samples
- You should be expert at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive
- Bachelor’s degree in Computer Science Engineering or related technical field
- 3+ years of relevant experience with ETL, data modeling, and business intelligence architectures
- 3+ years’ experience in relational database concepts with a solid knowledge of star schema, Oracle, SQL, PL/SQL, SQL Tuning, OLAP, Big Data technologies
- Experience building self-service reporting solutions using business intelligence software (e.g., OBIEE, Tableau Server, Micro Strategy etc.)
- Experience with Big Data solutions: Hadoop, Pig/Hive or other frameworks
- AWS Experience
- Experience working with Apache Spark
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Alexa Voice Shopping Business Intelligence Engineer Resume Examples & Samples
- Dive Deep, Raise the bar and insist on high standards: Recognize and adopt best practices in analysis and reporting, data integrity, test design, analysis, validation, and documentation
- Deliver Results: Be inspired by the motto of Customer First, use outstanding business acumen, technical and analytical skills to drive real, actionable results
- 2+ years of relevant experience in business intelligence role, including data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions, experience in analytics, business analysis or comparable consumer analytics solutions
- Excellent knowledge and Expertise with SQL, Linux, OLAP, and Relational, NoSQL & Multi-dimensional Databases, Big Data
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Explicit industry experience with spoken language understanding systems
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Business Intelligence Engineer Resume Examples & Samples
- BA/BS in Engineering, Statistics, Computer Science, Mathematics or related field
- 3 to 5 years of relevant work experience
- Advanced knowledge of SQL, Microsoft Excel (prior data mining experience a plus) and ETL
- Experience driving small to medium sized projects.Organizational and multitasking skills with ability to balance competing priorities
- Interpersonal skills — including written and oral communication skills
- Ability to work with remote Business Intelligence teams based in the US and other geographies
- 6+ years of relevant work experience as a Business Intelligence Engineer
- Experience in online payments
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Business Intelligence Engineer Resume Examples & Samples
- Degree in Computer Science, Engineering, Mathematics, or a related field or 7+ years industry experience
- Data Warehousing Experience with Oracle, Redshift, Teradata, etc
- Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
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Business Intelligence Engineer Resume Examples & Samples
- Develop models to measure the downstream impact (DSI) of our programs
- Collaborate with software engineers to implement the data architecture and design
- Has excellent business and communication skills, and the ability to influence partner teams and leadership
- Enjoys partnering with business owners to define key business and product questions, and be able to analyze data to answer those questions
- Has a solid understanding of efficient and scalable data mining and an ability to use the data in financial and statistical modeling
- 3+ years of relevant experience with data mining, SQL, building reporting, and statistical modeling
- Experience working in cross-functional teams and communicating with business and technical customers to drive requirements analysis
- Personal interest in consumer, ecommerce, and how people shop for fashion
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Business Intelligence Engineer Resume Examples & Samples
- Bachelor’s degree in Engineering, Math, Statistics, Economics or Computer Science
- 3+ years professional experience with data analysis and quantitative problem solving, including experience with data warehouse architectures, ETL processes, and reporting tools
- Proficiency with relational database systems and concepts, including data warehousing methodologies and data modeling concepts
- Strong knowledge of SQL including the ability to write complex queries and understand a range of query execution and optimization issues and impacts
- Proficiency with a high-level scripting language such as Python
- Experience with Big Data technologies such as Hadoop/Hive/Spark
- Experience deploying statistical models to aid decision making
- Higher degree in Engineering, Math, Statistics, Economics or Computer Science
- 3+ years experience in Data Engineering / Business Intelligence
- Experience with columnar analytic databases (ie AWS Redshift)
- Experience with ETL pipeline tools like Luigi or Airflow, and with code version control systems like Git
- Experience deploying a wide range of AWS technologies, especially Redshift, EMR, S3, Lambda and IAM, including understanding and managing user roles and data security
- Understanding and experience of the agile software development cycle
- Familiarity with basic machine learning concepts
- Familiarity with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases, etc)
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Business Intelligence Engineer Resume Examples & Samples
- · Degree in mathematics, statistics, computer science, engineering, economics or related field
- Advanced experience with Excel, SQL and Experience with Business Intelligence applications (Cognos, Tableau, Business Objects, Microstrategy)
- Experience with ETL and Data Warehousing
- Master’s Degree in Business, Engineering, Statistics, Computer Science or Mathematics
- Experience using Tableau for dashboard creation
- Scripting skills to perform data manipulation (e.g., Python)
