Senior Business Intelligence Engineer Resume Samples

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F Bernhard

Felipa

Bernhard

14659 Marvin Extensions

Chicago

+1 (555) 940 6403

14659 Marvin Extensions

Chicago

Phone

p +1 (555) 940 6403

Experience Experience

Houston, TX

Senior Business Intelligence Engineer

Houston, TX

Daniel, Johnson and Hagenes

Houston, TX

Senior Business Intelligence Engineer

Assess and cultivate long-term strategic goals for BOBJ development in conjunction with end users, managers, clients, and other stakeholders
Work closely with Marketing team to develop customer segmentation and retention models
Collaborate with product managers to develop pricing recommendations for new features or services
Provide end user support for BI solutions and applications, including investigation and resolution of issues regarding tool functionality and performance
Make recommendations for new metrics, techniques, and strategies to improve marketing campaign targeting and measurement in the future
Establish, manage, and monitor key input and output metrics for Global Supply Chain Operations
Perform deep-dive analysis to identify insights on customers, inventory, transportation, fulfillment, and inbound supply chain performances

Los Angeles, CA

Senior Business Intelligence Engineer

Los Angeles, CA

Gleichner-Kuhlman

Los Angeles, CA

Senior Business Intelligence Engineer

Create test plans and scenarios for development unit testing
Work with product managers to define the product strategy and priorities
Identify opportunities for continuous improvement of design, development, and integration processes
Create ad-hoc reports as requested and provide on-going analytical support for these requests
Plan and conduct development work on complex projects necessitating the origination and application of new and unique approaches
Work with peers to carry out unit testing of new development
Provide recommendations for process improvements to drive efficiency and effectiveness of BI solutions

present

Houston, TX

Alexa Voice Shopping Senior Business Intelligence Engineer

Houston, TX

Kshlerin-Littel

present

Houston, TX

Alexa Voice Shopping Senior Business Intelligence Engineer

present

Providing analytical network support to improve quality and standard work results
Architect, design, develop and maintain BW data objects including InfoObjects, InfoSources, Transformations, ODS, ADSO, Info Providers, and Composite Providers
Develop, implement and automate processes to collect and manage performance data from multiple stakeholders
Perform data mining and analysis to uncover trends and correlations to develop insights that can materially improve our decisions
Drive development of tools, reporting improvements, and automation, and create new innovative and insightful reports
Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management
Leads the design, development, evolution, and management of all supply chain metrics, projects and initiatives of various sizes and deadlines

Education Education

Bachelor’s Degree in Computer Science

Rutgers University

Bachelor’s Degree in Computer Science

Skills Skills

Strong ability to create dashboards/reports within Tableau
Retail metrics including availability, waste, profitability, vendor performance, and operational efficiency
Proficiency with TABLEAU, Microsoft Excel/Access. Adept at data manipulation and presentation, and analysis
Strong business acumen with the ability to blend technical and analytical insight, and effectively communicate findings to both business and IT leaders
Perform detailed data analysis, validation, and identify data quality issues
Designing, implementing, and supporting tools that will help retail business teams achieve scalable solutions to highly strategic problems
Ability to comprehend complex technical and logical concepts and adapt quickly to changes
Strong analytical skills and ability to understand multiple concepts and data sets
Support a small team of highly motivated experts in lean six sigma and finance professionals
Strong working knowledge of SAP BI 4. tools including Webi, Analysis for OLAP/Office, Design Studio, Lumira

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Senior Business Intelligence Engineer Resume Examples & Samples

7+ years of experience in designing and operating very large BI platforms
Strong data modelling/design experience
Expertise in using OLAP technologies and BI Analytics
Capable of investigating, familiarizing and mastering new data sets quickly
Effective at partnering with business and technology teams
Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner
Team player with solid communication skills
Experience in building BI platforms from scratch
Experience in evaluating various technological solutions to solve business requirements
Experience with machine learning algorithms to solve data problems
Familiarity with Amazon Web Services (AWS)
Familiarity with media industry

Senior Business Intelligence Engineer Resume Examples & Samples

Work with Data Modelers and Data Scientists to design solutions to building ETL data flows
Implement ETL flows following standards and techniques specified by the development team
Source systems include web sources (REST/SOAP), SQL databases, and NoSQL databases
Assist in the deployment and strive to construct automated build and deployment systems
Develop reports and/or report queries that are based on the data flows you implement
Experience working with BI and visualization tools such as Tableau, OBIEE, and report creation environments such as Jaspersoft and SSRS
Loves futzing with data and dreams of becoming a Data Scientist some day (or maybe already is a Data Scientist!)
Knowledge of R and/or Python based data programming skills is a definite plus

Senior Business Intelligence Engineer Resume Examples & Samples

Focus on the development of solution approaches and designs for individual projects based on functional requirements and project objectives
Oversee the design, development, customization and integration efforts to deploy these solutions
Responsible for leading multiple junior engineers and deliver the ESBI solutions to our customers
Acts as a liaison between site business teams, lottery business teams and various technology teams in addressing their BI needs
The Engineer would act as a solution architect on case by case and is also responsible for supporting the junior development team during the implementation phase
Responsible for evaluating and incorporating emerging standards, best practices, and new technologies
Participating in the definition of the BI roadmap for the lottery customers
Manage technical assessment and design activities for medium to large Business Objects business intelligence solutions
Develop and Deliver solution approach (STR’s) and design artifacts to all project stakeholders
Ensure the alignment of technical solutions with established IT standards and business objectives
Provide project leadership; oversee and own design activities during the project
Address and resolve routine design issues using standard issue resolution methodologies
Identify opportunities for continuous improvement of design, development, and integration processes
Deliver effective verbal and written communications to technical and business stakeholders regarding the BI solution design
Discuss technical concepts, issues and ideas with technology and business stakeholders by initiating collaborative discussions, public speaking forums, and presentations
7+ years of hands on experience with the Business Objects suite of applications, in particular XI release 3.0 and 4.x
5+ years of hands on experience with IBM Information Server / Data Stage ETL
Experience with Business Objects in a Data Mart or Data Warehouse environment
Experience with dimensional, logical and physical data modeling for data warehouse/data marts (DB2 based)
Experience and knowledge of Business Objects SDK, including actual customization work with the SDK
Ability to comprehend complex technical and logical concepts and adapt quickly to changes
Strong Analytical, problem solving and quantitative skills
Ability to check ones work for errors and be able to problem solve
Ability to work cooperatively and effectively as part of a team
Ability to work closely with business leaders and project teams to understand business requirements, develop solutions, and deliver projects on time
Counsel, consult, mentor and transfer knowledge of key functionalities across Business Intelligence team
Participate in periodic management review of projects to communicate project status, present business process improvements, demonstrate application functionality, and ensure needs are being met
Ability to perform in a team environment as a leader and member of the team
Able to work on multiple projects or multiple complex tasks with competing priorities
10 + years relevant experience with in the industry. Or relevant combination of education and experience

Senior Business Intelligence Engineer Resume Examples & Samples

Add new data sources to our cloud-based data warehouse using ETL tools and custom connectors as needed
Design and develop SQL-based views on our data warehouse to enable multi-source data analysis
Build solutions using BusinessObjects and SAS Visual Analytics, or any open source tool for interfacing between source application and the enterprise data warehouse
Perform unit tests and validate expected results; iterate on them until test conditions have passed
Manage problem assessment, resolution, and documentation
Modify existing universes to provide defect fixes
Troubleshoot defects to determine the root cause
Review code created by team members
2+ years of demonstrated ETL development experience
Record of building innovative solutions
Understanding of the processes of data quality, data cleansing, and data transformation
Advanced experience with SQL coding
Extensive knowledge of data warehousing tools, patterns, and processes
Ability to interpret written requirements and technical specification documents
Good coding skills according to published standards and design guidelines

Senior Business Intelligence Engineer Resume Examples & Samples

MSc in an analytical area such as Statistics, Computer Science, Physics, Mathematics, Engineering or similar
5+ years of relevant employment experience
Strong track record of building ML models that use huge amounts of training data and which demonstrated a clear impact to the business
Expert level data analysis and statistical skills including knowledge of statistical packages in R and Python
Strong 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
Excellent verbal/written communication skills, including an ability to effectively collaborate with business, research and technical teams, and earn the trust and influence senior stakeholders
Interest in mentoring and guiding junior team members
Interest in using voice to search, interact with technology, and shop
Experience in defining a vision and getting buy-in from senior leaders across the company

Senior Business Intelligence Engineer Resume Examples & Samples

Operate within a diverse team to design and build improvements to a highly-available, enterprise-scale platform providing secure access to large financial datasets
Interface with cross-functional teams to deliver complete business intelligence solutions
Model data and metadata to support performance management reporting
Proliferate best practices in reporting and analysis, including data integrity, test design, analysis, validation, and documentation
Provide risk assessment for new functionality and enhancements, and identify process improvement opportunities to drive innovation
Facilitate and improve recurring processes for project intake, prioritization, and ongoing management reporting
Bachelor's Degree (BS/BA) in Information Systems, Computer Science, Finance, Statistics or a related discipline
5+ years of developing end-to-end performance management and business intelligence solutions with complex datasets, including planning automation, data modeling, ETL, and reporting
Direct experience using Business Intelligence (BI) reporting tools, preferably Cognos v10x (Report Studio, Analysis Studio, Workspace, Framework Manager), or similar technology (OBIEE, Business Objects, Tableau, MicroStrategy, SAP, etc)
Direct experience using OLAP performance management (CPM) tools, preferably Cognos TM1 v10x (Perspectives/Architect), or similar technology (Hyperion/Essbase, etc)
Excellent communication (verbal and written) and interpersonal skills, and an ability to effectively communicate with both business and technical teams
Quick learner with a positive attitude and professional demeanor, and strong analytical and troubleshooting skills
A person with a work ethic based on a strong desire to exceed expectations, and who thrives in a hyper-growth environment where priorities shift rapidly
Master’s degree in Computer Science, Engineering, Math, Finance, Statistics, or a related discipline
Advanced knowledge and expertise with SQL, Oracle, OLAP, and data warehousing concepts
Familiarity with AWS solutions such as EC2, DynamoDB, S3, Redshift, and Aurora
Familiarity and development experience with web services technologies is a strong plus (e.g. HTTPS, REST, XML, JSON, etc.)
Experience developing scorecards and dashboards
JAVA/PERL/Ruby/Python scripting language experience
Experience with third-party ETL tools (IBM DataStage or Data Manager, Informatica, etc.)
Experience with dimension management software processes and MDM tools (Oracle DRM)

Senior Business Intelligence Engineer Resume Examples & Samples

Bachelors degree in CS or related technical field and 7+ years of experience in Data Mining / Reporting / Warehousing
Excellent knowledge of SAS, Oracle SQL, Linux and OLAP
Knowledge of any scripting language like VBA, Perl, Python etc
Ability to work efficiently and effectively in fast paced environment with tight deadlines
Coding languages like C, C++, Java

Senior Business Intelligence Engineer Resume Examples & Samples

Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques
Build, manage and achieve yearly and 3 year roadmaps for the programs that you own
Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as policy management
Work closely with internal stakeholders like the business teams, engineering teams and the operations team and align them with respect to your program/country
Be one step ahead of the risky customers utilizing real time performance monitoring as well as detection engines
Over 7+ years of relevant experience in advanced analytics and predictive modeling across any domain or function
Hands-on experience in SAS preferred
Proven track record in understanding business problems and developing effective algorithms and solutions
Ability to process large data sets from multiple data sources
Experience in Predictive Analytical modeling such as regression, machine learning, or forecasting using time series or any other such techniques is preferred
Prior experience in Big Data Technologies & Machine Learning algorithms
Experience in coding languages like Perl, C, C++ or other similar languages
Experience in MATLAB, R or any similar statistical engines
Prior experience in a risk management business

Senior Business Intelligence Engineer Resume Examples & Samples

Be highly analytical and detail oriented
Quickly build credibility and trust with internal customers
Demonstrate work ethic based on a strong desire to exceed expectations
Strong leadership, communication, and persuasion skills
Advanced communication skills, both verbal and written
Building scalable financial processes and metrics by working with functional leaders and other finance functions
Developing new ideas and creative solutions
Successful in an ambiguous environment
Comfortable with tight deadlines and prioritize workload
Work regularly with remote teams
Work on cross-functional teams
Focus on customers and work backwards
5+ years of financial analysis, based on large volumes of data
Experience with SQL, Excel PowerPivot, SSAS or other BI software
Proficiency in statistical modeling/ data visuallization (ideally using R or Python Pandas)
BS/BA degree in a quantitative field (Mathematics, Engineering, Sciences, Operations Research)
Ability to consistently meet deadlines, and provide well-vetted reporting and business recommendations
Experience communicating results to business leaders
Motivated self-starter, proactive and action-oriented, requiring limited supervision
Advanced problem-solving skills for difficult and complex issues
Highly organized and detail focused, have multi-tasking skills, and efficient in ambiguous situations owning full cycle software development / change efforts
MBA or advanced degree in a quantitative field preferred
Experience designing simulation and optimization models in for business decisions (e.g., staff scheduling, vehicle routing, and facility location) and/or feedback and/or predictive control

Senior Business Intelligence Engineer Resume Examples & Samples

Apply data mining, quantitative analysis, and statistics to understand how our customers interact with our business
Develop quantitative and statistical models to expose the hidden correlations across the business attributes
Communicate insights and recommendations to senior management
8+ years work experience in data analysis, applied statistics or econometrics
Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams and develop clear, thoughtful, and comprehensive analyses of marketing programs
Strong knowledge of quantitative analytics and advanced analytical tools. Advanced SQL and OLAP skills are required
Analytical mindset and ability to see the big picture and persuade others to see the same

Senior Business Intelligence Engineer Resume Examples & Samples

Create ETLs to take data from various operational systems and create a unified dimensional or star schema data model for analytics and reporting
Support a small team of highly motivated experts in lean six sigma and finance professionals
Use business intelligence and visualization software (e.g., OBIEE, Tableau Server, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
Develop a deep understanding of Retail and Inbound Supply Chain’s vast data sources and know exactly how, when, and which data to use to solve particular business problems
Monitor and maintain data security and database software
Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management
Bachelor’s degree in CS or related technical field and 7+ years of experience in data warehousing
Excellent knowledge of SQL and Unix/Linux
5+ years of relevant experience with ETL, data modeling, and business intelligence architectures
Demonstrated ability to work effectively across various internal organizations
Significant experience designing, building, and tuning recommendations systems/engines
Experience with Amazon Redshift; Grasshopper or other distributed computing technology
Experience with scripting languages like Python, Ruby, or UNIX shell scripts
Working knowledge of an object oriented programming language
Experience with applied data science or machine learning

Senior Business Intelligence Engineer Resume Examples & Samples

Interfacing with business and finance customers to gather data and metrics requirements
Supporting ad-hoc / project-based analysis on WW Prime member engagement and benefits usage
Proposing and prioritizing changes to reporting and creating additional metrics and processes based on program changes and customer requirements
Analysis of historical data to identify trends and insights
An expert in Tableau based dashboarding including being able to design scripting solutions
Proficient in using SQL, ETL, Data Warehouse solutions and databases in a business environment with large-scale, complex datasets

Senior Business Intelligence Engineer Resume Examples & Samples

Responsible for creation and maintenance of Business Scenario and Business Process Procedures Testing and Quality Assurance of production changes
Liaise between the BI central organization, customer organization and analytical team on information delivery requirements and needs
Assist with the roll-out and introduction of new technologies and functionality in existing technology
Participate in technology architecture and innovation sponsored pilot efforts with new technology
Serve as a point of testing and validation of new technology and information delivery
Promote information delivery via centralized sources
Participate in the process of setting the BI and standard reporting strategy for the organization
Participate in and/or lead new information delivery efforts in the region
Articulate and represent the interests of the region(s) in regard to solution design and delivery
Gather input for decisions related to business intelligence delivery efforts
Assist with end user acclimation and education to new technologies and applications
Help assure that information delivery via the current BF solution set is aligned with standardized reporting delivery
Enforces standard data architecture processes and procedures. On an ongoing basis, execute daily operating and monitoring procedures for our data warehouse and periodic 24X7 on-call support as necessary
Hands on execution of data warehousing techniques including data modeling, data cleansing, ETL and assisting the data architects
Train other team members in data warehousing technologies and methods
Train end consumers of delivered solutions
Investigate and solve problems by documenting solutions and transferring key learning’s to appropriate users

Senior Business Intelligence Engineer Resume Examples & Samples

Designing, implementing, and supporting tools that will help retail business teams achieve scalable solutions to highly strategic problems
Leading the design and implementation of business insight tools and reports that will help drive strategic decision making at the highest levels
Modelling data and metadata to support ad-hoc and pre-built reporting
Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
BA/BS Degree in Statistics, Mathematics, Computer Science, or related discipline (Master’s preferred)
5+ years of relevant experience with data mining, Oracle, SQL, Excel macros/VBA, building reporting, and modeling
Good knowledge of data warehousing concepts
Excellent communication (verbal and written), interpersonal skills, and an ability to effectively communicate with both business and technical teams
Experience working with business customers to drive requirements analysis
Master’s Degree in Statistics, Mathematics, Computer Science, or related discipline
Strong business acumen and ownership
1+ years of relevant experience with Tableau, R, Python

Senior Business Intelligence Engineer Resume Examples & Samples

Customer and delivery experience
Retail metrics including availability, waste, profitability, vendor performance, and operational efficiency
Customer behaviour and basket analysis
Selection management and performance analysis
Developing analyses to support strategic decision making
Leveraging new data sources for the benefit of the wider Amazon Fresh business
Researching and implementing new technologies in Amazon Fresh
Key responsibilities
Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape key business decisions
Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy learning’s and developments
Collaborate with finance and product management as a leader of ongoing reporting including weekly and monthly business reviews
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets
Relevant work experience in analytics, data engineering, business intelligence, market research or related field, solid professional experience in consumer-facing industry preferred
Experience using SQL, ETL, and databases in a business environment with large-scale and complex datasets
Proven track record of successful communication of analytical outcomes through written communication
Proven track record of an ability to effectively communicate with both business and technical teams
Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
Graduate degree in business, mathematics, statistics, economics, or other quantitative field
Demonstrated ability to coordinate projects across functional teams, including engineering and retail operations
Experience with statistical modelling and analysing large data sets

Senior Business Intelligence Engineer Resume Examples & Samples

Identify the biggest opportunities in Amazon's Supply Chain
Analyze the potential customer and financial impacts
Work with in-house scientists, global supply chain teams, retail organizations, and software teams to identify new features and projects
Identify ways to automate analysis through smarter software systems
Prioritize the features and projects based on their relevance

Senior Business Intelligence Engineer Resume Examples & Samples

Create solutions using BusinessObjects and SAS Visual Analytics, or any open source tool for interfacing between source application and the enterprise data warehouse
Perform unit tests and validate expected results, and iterate them until test conditions have passed
Track record of building innovative solutions

Senior Business Intelligence Engineer Resume Examples & Samples

Develop tools to understand Sellers’ behaviors related to pricing changes
Collaborate with product managers to develop pricing recommendations for new features or services
Communicate with software developers to insure proper implementation of complex models
Manage and execute entire projects or components of large projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
M.S. in a quantitative field such as Economics, Mathematics, Statistics or Operations Research
At least 5 years of relevant experience with advanced forecasting, optimization and/or machine learning techniques
Knowledgeable in demand modeling, pricing optimization, and customer/product segmentation
Ability to build model prototypes using appropriate tools (R/SAS/Python…)
Experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex data
M.S./Ph.D. in a quantitative field such as Economics, Mathematics, Statistics or Operations Research
At least 7 years of relevant experience with advanced forecasting, optimization and/or machine learning techniques
Experience leading development and implementation of complex quantitative tools

Senior Business Intelligence Engineer Resume Examples & Samples

See what others are not able to see – identify existing issues with processes, discover hidden opportunities
Bachelor's degree in Computer Science/Math/Engineering or equivalent experience
Proficiency with OBIEE 11 (installation, admin, creating & maintaining rpd layers, dashboards)
Proficiency with Microsoft Access/Excel/PowerPivot/DAX
Experience using one or more of the following programming languages: Python, VBA, Java, C++
Advanced knowledge of Linux/UNIX
Experience with AWS solutions such as DynamoDB, S3, and Redshift
Knowledge and direct experience using business intelligence reporting/visualization tools (Tableau, MicroStrategy)

Senior Business Intelligence Engineer Resume Examples & Samples

Participate with team of technical staff and business managers or practitioners in the business unit to determine systems requirements and functionalities needed in large/complex development project
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
Assist with development oversight, code reviews, architecture and integration support
Review coding done to advance application upgrade, extension, or other development. Analyze application for data integrity issues
Develop test protocols or plan for testing revised application and review test results
May mentor less experienced technical staff; may use high end development tools to assist or facilitate development process
Experience as a Senior Business Intelligence Engineer/SME
Expert-level technical leadership in multiple BI technologies – Tableau, Business Objects, MicroStrategy, Cognos, and OBIEE, in a large-scale environment
Demonstrated knowledge and experience with requirements gathering, design reviews, best practices, training, evaluation of new or emerging technologies, and tool selection
Experience creating Proof-of-Concepts and Demos to demonstrate new product features
Ability to multi-task and interact with internal customers
Outstanding verbal, written communication and coaching skills

Senior Business Intelligence Engineer Resume Examples & Samples

Require in-depth knowledge and deep SME of Business Intelligence (BI) technologies such as Tableau, MicroStrategy, or Business Objects
Strong ability to create dashboards/reports within Tableau
Strong knowledge of relational databases Oracle SQL, SQL Server, stored procedures required
Experience with UNIX, LINUX scripting required
Strong analytical skills and ability to understand multiple concepts and data sets
Must be able to analyze data and turn it into insightful and meaningful output/BI Reports for senior leadership
Must be able to work independently and create own work plans to follow-up and accomplish large, unstructured tasks
Effective collaborator and work with integrated teams to achieve individual objectives as well as organizational results
Agile/Scrum/Kanban experience is highly preferred
Front-end/UI development desired
Integration tools experience a strong plus - Abinitio or Informatica
Experience with ClearCase, SVN (Subversion), Eclipse, Maven, and/or Jenkins

Senior Business Intelligence Engineer Resume Examples & Samples

Uphold the highest standards of data collection, reporting, and analysis
Develop, implement and automate processes to collect and manage performance data from multiple stakeholders
Bachelor's degree in Economics, Business, Finance, Engineering, Statistics, Computer Science, Mathematics or related fields
SQL skills, with experience querying large datasets from multiple sources and developing automated reporting
Microsoft Office/PC skills, Excel experience analyzing data and creating daily/weekly/monthly reports, including knowledge of Pivot table and Excel functions
6+ years of relevant experience working experience as a business analyst, business intelligence engineer, or equivalent
Hands-on computer programming or statistical programming experience
Demonstrated skills on End-to-End project management from data analysis to action deployment
Experience with one or more ETL tools and one or more BI Reporting tools (e.g. OBIEE)
Strong ability to multi-task and prioritize
Excellent interpersonal skills, with the ability to communicate complex data issues correctly and clearly to both internal and external customers

Senior Business Intelligence Engineer Resume Examples & Samples

Design, build, enhance and maintain enterprise business intelligence platform to support business intelligence and advanced analytics for DATG
Create and improve upon timely, relevant, and actionable insights, intelligence and recommendations for business stakeholders
Full life cycle development of BI reports, dashboards and other analytics products
Data cleanup, requirement gathering, data modeling & transformation, reports/dashboard creation, data mining and analytics on complex datasets
Mentor less experienced team members
Strong Business Intelligence skills, including: Reporting, Data cleanup, ETL and handling scalability issues for enterprise BI
Experience in handling visualization for very large datasets
BS or MS in Computer Science or related field or equivalent work experience
Experience with data mining and advance analytics

Senior Business Intelligence Engineer Resume Examples & Samples

3 years utilizing SQL Server Reporting Services (SSRS) and SQL Server Analysis Services (SSAS)
3 years working on Data Warehouse BI projects supporting a Data Warehouse client experience
3 years developing complex SQL queries, including the use of joins and sub-queries, stored procedures, and performance tuning
3 years creating complex reports, including drill down reports, using cursors and multi-dimensional objects
2 years implementing enterprise-scale reporting systems using business intelligence tools, including Cognos, Business Objects, and Microstrategy
2 years use of SQL and RDBMS systems, including Oracle and SQL Server
2 years applying logical and physical data modeling concepts and utilizing dimensional data modeling designs and techniques
2 years developing and optimizing DAX code

Senior Business Intelligence Engineer Resume Examples & Samples

Conduct deep dive investigations into business problems and identify potential opportunities
Design, implement and support a scalable and reliable infrastructure for Data Warehousing, BI and Analysis to drive key business decisions
Develop reports and dashboards using various technologies (i.e. RUBY, HTML, PHP, Java, and AJAX) to allow internal teams (technology, product management, operations teams) to understand issues and identify actions to be taken to solve these issues
Bachelor's Degree in Engineering, Math, Statistics, Finance, Computer Science, Logistics/Transportation or related industry experience
Minimum five (5) years of experience data modeling, ETL, data warehousing, and transformation of large scale data sources using SQL, Redshift, Oracle, or other Big Data technologies
Minimum five (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
Experience with reporting and visualization tools such as OBIE and Tableau Ability to work in a deadline-driven work environment; ability to re-prioritize on a regular basis in order to remain current with business needs
Ability to influence others in a positive and professional manner
Master’s degree in Engineering or Math/Statistics/Finance or related discipline
Advanced knowledge and expertise with Data modelling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases
Experience guiding and mentoring other data engineers and influencing large scale projects or organizations

Senior Business Intelligence Engineer Resume Examples & Samples

Design and develop complex reports and dashboards, utilizing advanced components such as: advanced metrics, Free Form SQL, extensive knowledge/experience of graphs
Ability to tune reports for best SQL performance to run efficiently in a large data volume environment
Create ad-hoc reports as requested and provide on-going analytical support for these requests
Assist in architecture and migration of MicroStrategy schema objects
Assess new initiatives to determine the work effort and estimate the necessary time-to-completion
Work with peers to carry out unit testing of new development
Document new development, procedures or test plans as needed
Participate in data builds and deployment efforts
Participate in projects through various phases
Minimal overnight travel (up to 10%) by land and/or air
Minimum 3 to 5 years’ experience in MicroStrategy 9x Desktop, Architect, Report Services – Dynamic Dashboards, Web, Intelligence Server, Narrowcast, OLAP Services and Office
Ability to coach and mentor others on the design, development, and usage of the MicroStrategy product suite
Strong native SQL skills
Must demonstrate a clear understanding of BI, Data Warehouse and Hadoop operating environments and related technologies
Understanding of major Hadoop distributions like Cloudera (preferred), HortonWorks, MapR, BigInsights, or Amazon EMR is desireable
Knowledge of developing within the Hadoop platform including Java, MapReduce, Hive, Pig, and Pig UDF
Knowledge of Cloud infrastructure
Must be passionate, flexible and innovative in utilizing all up to date available tool functionality, experience, and any other resources, to effectively deliver to very challenging and always changing business requirements with continuous success
Must be able to interface with various business units to understand the requirements and prepare documentation to support development
Must be capable of understanding the complex object design and the underlying data model of the system, as well as have a highly skilled attention to the business requirements details
Strong experience in data warehousing concepts and techniques (e.g. Kimball etc.)
Strong interpersonal skills with a heads-up programming attitude
Bachelor's degree (B. A.) from four-year college or university; or four to six years related experience and/or training; or equivalent combination of education and experience
Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet, graphics, etc.)

Senior Business Intelligence Engineer Resume Examples & Samples

Bachelor’s or advanced degree in Business, Computer Science, Information Science or related edu
Knowledge of fundamentals of database design and management
5+ years experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with large-scale, complex datasets
MBA or Master’s Degree Information Science, Data Science or a related field preferred
Experience on AWS Big Data technologies, like RedShift, S3, Aurora, Data Pipeline, QuickSight, Kinesis, etc

Senior Business Intelligence Engineer Resume Examples & Samples

Analyze and visualize large scale geo-spatial logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation
Serve as the primary liaison between the research scientist team and the operations 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
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
BA/BS in Engineering, Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or related field
6+ years of relevant work experience in a role requiring application of analytic skills to integrate data into operational planning
Advanced knowledge of SQL and ETL jobs
Advanced understanding and experience working with data warehousing, data quality
Recent experience implementing basic software solutions to automate data source, visualization and/or data modeling application
Organizational skill and an operations mindset
Interpersonal skills, including written and oral communication skills
MBA/MS in Engineering, Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or related field
5+ years of relevant work experience building end to end solutions to performance measurement and process improvement in a transportation, logistics or supply chain setting
Demonstrated excellence in working with operations teams

Senior Business Intelligence Engineer Resume Examples & Samples

Education: Bachelor's Degree or equivalent required
Prior experience as a Senior BI Engineer / SME
Expert-level technical experience in multiple BI technologies – Tableau, MicroStrategy, D3.js Cognos, Business Objects, OBIEE, , and Spotfire in a large scale environment
Demonstrated experience with requirements, design reviews, best practices, training, and evaluation of new technologies
Experience with data visualization tools like D3.js is a plus
Some consulting background is a plus

Senior Business Intelligence Engineer Resume Examples & Samples

Manipulating/mining data from database tables (Redshift, Oracle, Data Warehouse)
Create automated metrics using complex databases
Providing analytical network support to improve quality and standard work results
5+ years of strong quantitative and qualitative experience in Logistics/Supply Chain, Transportation, Engineering or Business experience
Bachelor's Degree in Engineering, Math, Statistics, Finance, Computer Science, or related industry experience
Experience with statistical analysis, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling
Experience in Statistical Software such as R, SAS, SPSS, MINITAB
Experience using one or more Python, VBA, 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
Excellent written and verbal communication skills. The role requires effective communication with colleagues from machine learning, economics and business backgrounds

Senior Business Intelligence Engineer Resume Examples & Samples

Develop models to measure the downstream impact of our business
Work with product managers to define the product strategy and priorities
Combine expert knowledge of statistical methodologies and analysis with advanced programming skills to support complex analyses
Be the champion of high standards for data collection, reporting and analysis across the team
Be a consultant for the leaders across the business in driving key strategic decisions
Has a proven track record of handling complex and large data sets, and translating data into actionable insights to drive business decisions
Has a solid background in efficient and scalable data mining, along with the ability to utilize data in analyses and statistical modeling
Enjoys mentoring and developing other engineers on the team
Bachelor’s degree in Stats, Mathematics, Economics or related discipline
5+ years of relevant experience with business analytics and statistical modeling
Ability to understand business strategy, and provide business analysis
Working knowledge of SAS or R
Hands-on experience with developing forecasting models
Experience with Python or Java to process data

Senior Business Intelligence Engineer Resume Examples & Samples

Principle Duties include designing and mapping the clients marketing information model to deliver performance management dashboards, scorecards, reports, and ad-hoc reporting environments using a combination of any or all of and Business Objects based BI and interactive visualization tools
The successful candidate will work closely with business stakeholders as well as the BI Application Team developers and analysts to develop guiding principles and best practices for determining which BI tools will be needed for a particular information requirement. For example, Discovery vs. Dashboards vs. Answers
This individual must be able understand business functional requirements and reporting tool functionality; synthesize the requirements and business intelligence capabilities into functional specifications; prepare technical specifications; and develop and test the final product. The solutions will contain ad-hoc query, drill-down, slice and dice capabilities, static reporting, managed queries, and dashboards
The successful candidate will have hands on, in depth, experience and expertise with the Business Objects XI suite of products (in particular XI 4.0) and Tableau. The candidate will have the knowledge and understanding of how to structure and design data to optimize the use of these products. Additionally working with Micro-strategy, Congo’s and Business Objects to build BI solutions against existing dimensional and relational schemas
Works with Architects and Systems Engineers on case by case and is also responsible for supporting the development team during the implementation phase
Manage technical assessment and design activities for medium to large Business Intelligence solutions (primary focus is on Business Objects and Tableau)
Develop and Deliver solution approach and design artifacts to all project / Services stakeholders
Provide project leadership; oversee and own design activities project
Develop departmental design policies and procedures

Senior Business Intelligence Engineer Resume Examples & Samples

4+ years of work experience within the Transportation Linehaul space, preferably with a shipper or a broker. Experience with EDI transaction dataset and integration
Master’s degree or higher in Engineering, Math, Finance, Statistics, Computer Science, or other technical field
Experience in designing and analyzing transportation networks, using a network optimization tool

Senior Business Intelligence Engineer Resume Examples & Samples

Understanding of relational database principals, expertise in SQL
Strong knowledge of moving data across multiple platforms using SSIS, familiar with high transaction driven applications, tuning the complex SQL queries and building/maintaining SSRS reports and SSAS cubes
Report design and BI tool experience/support, Microstrategy or similar product set (SQL Server Reporting Services, Tableau, Business Objects etc)
Experience in C# or Java or Python is preferred but not required
Experience in Hadoop or other big data and NoSQL solutions is a plus
Experience in data science and creating models is a plus

Senior Business Intelligence Engineer Resume Examples & Samples

Conducts and participates in in-house design reviews
Contributes technical direction to the development group
Responsible for planning and following IT application development and deployment processes
Designs, prototypes, and implements scalable, reliable, and maintainable web applications and services
Coordinates support cases with third party vendors
May provide technical assistance to personnel in other IT classifications
Minimum of 5 years of experience in configuring, designing and building complex visualizations and dashboards using Design Studio, Lumira or Business Objects Cloud (BOC)
Architect, model, design, develop and maintain native SAP HANA objects to be used for reporting and other technical use cases
Assess and cultivate long-term strategic goals for BOBJ development in conjunction with end users, managers, clients, and other stakeholders
Provides technical direction in the analysis, design, development, documenting, testing, deployment, maintenance, and enhancement of complex technical solutions related to enterprise applications projects
Coordinate security requirements and user administration, rights and user groups supporting various organization views
Diagnose and resolve BI issues as they arise
Experience with BPC consolidations and planning or equivalent a plus

Senior Business Intelligence Engineer Resume Examples & Samples

Degree in Statistics, Applied Mathematics, Computer Science, Operations Research, or equivalent
Demonstrated track record in effectively communicating complex analysis and insights to senior leaders both verbally and in writing
Relevant domain knowledge working with vast data-sets and developing predictive algorithms to solve complex business problems
Experience with web analytics, retail and life type value models

Senior Business Intelligence Engineer Resume Examples & Samples

Degree in mathematics, statistics, computer science, engineering, economics or related field
5+ years of direct experience in quantitative research or analyses
Excellent communication skills to share findings in an understandable and actionable manner
Experience with Amazon Redshift or other distributed computing technology
Experience leading and mentoring a team

Senior Business Intelligence Engineer Resume Examples & Samples

Drive deep understanding of vendor segmentation, behavior and satisfaction; as well as Amazon operational performance by identifying, developing, and executing analyses
Champion data and metrics instrumentation during the development lifecycle for new products and services
Drive development of tools, reporting improvements, and automation, and create new innovative and insightful reports
Support the business team with ad hoc data requests and analytical needs
Bachelor’s degree in related field
6+ years of experience in BI/analysis with complete lifecycle experience (data acquisition, data modeling, report building)
Experience with enterprise class data warehousing from disparate source systems, relevant technologies and or such as ETL, BI Applications, Big Data, Web Analytics, CRM systems
Experience using SQL, ETL, and databases in a business environment with large-scale, complex datasets
Strong background in data mining, SQL, building reporting, and statistical modeling. Hands-on knowledge in using advanced SQL and databases in a business environment
Knowledge of cloud computing and AWS services, e.g. Redshift
Proven ability to translate business problems effectively into analytical specifications and requirements
Demonstrated thought-leadership with a passion for translating data into action and business insights
Demonstrated ability to earn trust of senior leadership and business stakeholders through collaboration and attention to detail
Demonstrated ability and willingness to operate autonomously, roll up sleeves and execute to get the job done
Ability to navigate ambiguity

Senior Business Intelligence Engineer Resume Examples & Samples

Plan and conduct development work on complex projects necessitating the origination and application of new and unique approaches
Translate business requirements into data models that drive data warehouse or data mart design and configuration
Act as the technical lead on projects
Work with cross-functional teams to gather, document, and approve business requirements for data analysis and reporting projects
Use BI and database tools to develop reporting solutions to meet business needs
Design, develop and implement the reporting and analysis environment, including canned and parameterized reports
Design, develop and implement data integration processes to transform unstructured and disparate source data into the target data warehouse or data marts
Oversee implementation and maintenance of BI systems that support feature development and testing
Provide 24x7 support to ensure availability of BI environments for internal and external users
Minimum 4 years overall work experience as a technical contributor in an IT setting
Minimum 2 years’ experience implementing enterprise-scale reporting systems using business intelligence tools such as Cognos, Business Objects, Microstrategy, etc
Minimum 2 years use of SQL and RDBMS systems (Oracle, SQL Server, etc.)
Knowledge of logical and physical data modeling concepts
Knowledge in dimensional data modeling designs and techniques
Advanced knowledge of Data Warehouse/BI project lifecycle, tools, technologies, best practices
Strong skills to develop complex SQL queries (ex: using various joins and sub-queries) and stored procedures
Strong knowledge of how to create complex reports (ex: drill down reports) using cursors and multi-dimensional objects. Strong communication skills - strong presentation, communication, and facilitation (both oral and written)
Ability to thrive in a fast paced remote environment with minimal direction, extreme pressure, and tight deadlines
Strong problem-solving skills, troubleshooting, and root cause analysis

Senior Business Intelligence Engineer Resume Examples & Samples

Produce written recommendations and insights for key stakeholders that will help shape effective retail strategies
Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders
Improve back-end data sources for increased accuracy and simplicity
Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use
Bachelor’s degree in math, finance, engineering, statistics, or related discipline is required
5+ years professional experience in web analytics, business analysis, or comparable analytics position
Experience in designing and implementing custom reporting systems by managing or guiding technical teams
Experience and expertise with MS Excel, Access and SQL/SAS
Master’s degree in Computer Science, Engineering, Math, Finance, Statistics or a related discipline
Advanced knowledge and expertise with SQL, Linux, Oracle and OLAP and data warehousing concepts

Senior Business Intelligence Engineer Resume Examples & Samples

Design, implement, and support platforms that provide business teams ad-hoc access to large data sets (e.g. data visualization tools for non-tech business users)
Participate in strategic & tactical planning discussions
Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation
Make recommendations for new metrics, techniques, and strategies to improve marketing campaign targeting and measurement in the future
3+ years of professional experience in business analytics, business intelligence (BI) or comparable consumer analyst position handling large, complex data sets
Bachelor's degree in Math, Finance, Statistics, Engineering, Computer Science or related discipline
Experience in gathering requirements and formulating business metrics for reporting
Experience working with data related to online marketing (e.g. Display Ads) or performance based advertising (e.g. Google Ad Words)
Experience in Machine learning, Statistics or in a highly quantitative field

Senior Business Intelligence Engineer Resume Examples & Samples

Be a thought leader on data mining and analysis. Uncover trends and correlations to develop insights that can materially improve our product and marketing investment decisions
Own weekly, monthly, and quarterly reporting metrics
Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. The candidate will be able to extract insights from data and be able to clearly communicate appropriate recommended actions
Execute analytical projects employing an understanding of analytical methods
Effective spoken and written communication to senior audiences, as well as strong data presentation skills
Use statistical analysis to segment customer behavior
5+ years work experience in data analysis, applied statistics or econometrics
Strong knowledge of quantitative analytics and advanced analytical tools. Proficiency with SQL, Oracle, OLAP, digital dashboards
Master's degree or higher in computer science engineering, statistics, mathematics, econometrics, or a similar quantitative field
Proficiency with Python, OBIEE, data warehouse, (or similar tools) strongly preferred
Experience with Big Data solutions, RedShift is a plus
Deep knowledge of analytical tools, including Tableau, MS Reporting Services, PowerPivot
Web development/automation

Senior Business Intelligence Engineer Resume Examples & Samples

Communicates status of program milestones to large user population and steering committee members
Collaborates on new pricing models, methodologies, scenarios and financial impact
Establish, manage, and monitor key input and output metrics for Global Supply Chain Operations
Perform deep-dive analysis to identify insights on customers, inventory, transportation, fulfillment, and inbound supply chain performances
Working knowledge in predictive analytics using tools such as R and SAS
Experience with developing forecasting models

Senior Business Intelligence Engineer Resume Examples & Samples

B.S. degree in mathematics, statistics, computer science, finance or a similar quantitative field
5+ years’ experience using SQL, ETL, Tableau and databases in a business environment with large-scale, complex datasets
Knowledge and direct experience using business intelligence reporting tools. (Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.)
Strong financial acumen and analytics skills with a high degree of proficiency in data mining
Strong controllership focus
Ability to thrive in an environment that is tasked with providing data-driven decision support and business intelligence that is timely, accurate and actionable
Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective BI solutions
Ability to effective prioritize projects, manage multiple competing priorities simultaneously and drive projects to completion under tight deadlines
Experience working with disparate data sources and turning them into a unified solution
Experience in Operations, Procurement, or Supply Chain
Experience with Python and R for data analysis
Familiarity with computer hardware and global supply chains
Excellent discretion, judgment, and executive presence
Comfort in a fast paced, demanding environment
Creative and proactive problem solver

Senior Business Intelligence Engineer Resume Examples & Samples

SAS Procedures experience with SQL, SUMMARY, FREQ, SORT, UPLOAD\DOWNLOAD, IMPORT\EXPORT, FORMAT, TRANSPOSE, PRINT, REPORT, TABULATE, GCHART, etc
SAS Data Step experience with Array, Loops, merge, formats, functions, etc
SAS BI Tools experience with Enterprise Guide, Web Report Studio, Information Map Studio, Data Integration Studio, OLAP Cube Studio and PC SAS
Linux experience with script knowledge
Data analytic tools including: SPSS, Business Objects, Tableau, R, Python, etc
Analytics dashboard experience
Insurance claims and enrollment data experience
Has knowledge of and can apply principles, concepts, practices and processes within department and has at least a basic knowledge of health care and BI solution development practices

Senior Business Intelligence Engineer Resume Examples & Samples

You will be leading the technical charter on reporting platform for self-service analytics and you will solve complex analytical problems at a global scale
You will have a direct interaction with Sales (fixed and variable), business, finance, and other BI teams to translate their business requirements into technical specifications
You will partner effectively with the data engineering team on common areas of scalability, data quality management, data delivery management and performance optimization
You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output
Your work will have a direct impact on the day-to-day decision making and operational planning processes within the AWS Sales organization
Development of reporting, analytics and decision support to enable the AWS Sales org leaders and teams create accountability and mechanisms for sales targets, operational efficiencies, manpower planning globally, etc
Tableau Developer with an expertise to create visualizations that provide business insights for our global Sales organization
Being one of the key builders of a new BI governance model, data infrastructure and org-level reporting for our Sales organization
Research Machine Learning algorithms and implement technical solutions tailored to individual Sales org business needs, and tested on large datasets
Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical field
5+ years of industry experience with BI Development – reports, metadata layer, dashboards, using SQL queries or other BI tools
Able to write complex SQL scripts for analysis and reporting
Experience processing, filtering, and presenting large data sets
Experience with AWS technologies such as Redshift, RDS, EMR, etc
Experience in developing and deploying extensive data-mart or data -cube solutions
Superior attention to detail and ability to successfully manage multiple competing priorities simultaneously
Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research and business backgrounds
Advanced analytical skills and demonstrated ability to meet deadlines while managing multiple large scale projects in a fast-paced and rapidly changing environment
Comfortable dealing with ambiguity and a willingness to work with a high degree of autonomy

Senior Business Intelligence Engineer Resume Examples & Samples

Professional background in Retail, E-commerce, or Consulting are preferred
Familiar with operation and finance metrics and business disciplines
Experience with AWS technologies including Redshift, RDS, S3, EMR, EML
Experience with statistical modeling and analyzing large data sets

Senior Business Intelligence Engineer Resume Examples & Samples

Deliver ETL, Reporting and Analytic solutions using Microsoft SQL Server Business Intelligence tools, SAP Hana/Business Objects and Tableau
Design and develop data models to conform with our existing EDW architecture
Work with teams to deliver effective, high-value reporting solutions by leveraging an established delivery methodology
Perform data mining and analysis to uncover trends and correlations to develop insights that can materially improve our decisions
Development with one or more data visualization/reporting tools (Tableau, Business Objects, Hana Analytics, Microsoft PowerBI)
Familiarity with SAP (CRM, APO, BW, BOXI)
Writing analytics programs in R, Python or comparable
Work with various product owners to ensure applications are instrumented with proper tracking mechanisms to enable analytics
Juggle multiple complex projects, including a reporting and analytics track as a part of SAP CRM re-implementation in FY2017
Continually recommend, develop, and implement process improvements and tools to collect and analyze data, and visualize/present insights
Participate, and sometimes lead, development activities to build the internal Analytics infrastructure
Bachelor’s degree in Business, MIS or related area. Master’s degree a plus
8+ years Business Intelligence / Data Warehouse development experience
5+ years working with Service / Field Service / Sales functional areas, preferably in the Medical Device industry
3+ years of experience in ETL development tools, preferably with knowledge of Microsoft Integration Services 2005 or greater (SSIS)
Experience in Microsoft BI development in Integration Services (SSIS), Analysis Services (SSAS) or Reporting Services (SSRS)
Experience in database development (T-SQL, PLSQL, and/or SQL scripts)
Demonstrated experience in utilizing R, Python, SPSS or comparable to develop analyses
Experience visualizing data in business intelligence tools such as Tableau, Business Objects or Hana Analytics
Experience creating test plans, testing and resolving data discrepancies
Must be a self-motivated, energetic, detail oriented team player passionate about producing high quality BI & Analytics deliverables
Knowledge of SAP CRM ecosystem or similar ecosystems is preferred
Strong sense of customer service for internal customers
Medical robotics has unique characteristics that will require immersion in clinical and technical training and he or she must come up to speed quickly– an interest and desire to learn are critical

Senior Business Intelligence Engineer Resume Examples & Samples

Drive the development and implementation of advanced data visualization and dashboards to support various L&TD programs
Identify opportunities and implement use of automation and metrics to drive process improvements
Develop and maintain network-level standards for analyzing and reporting L&TD metrics and data
Provide KPI’s to support program and leadership level decision-making
5+ years of relevant professional experience in business intelligence, business analytics, data science, or equivalent
Strong record for identifying opportunities to improve performance and efficiencies of processes, while partnering successfully with stakeholders and teammates to implement solutions
Advanced SQL skills, with experience querying large datasets from multiple sources
Experience with data visualization tools, such as Power BI, AWS Quick Sight, or Tableau
Expert skill level in Excel, e.g. macros, data analysis tools, VBA
Experience using AWS data tools
Strong written, verbal, and interpersonal communication skills
Passion for problem-solving and exploring data
Masters in Computer Science, Engineering, Statistics, or related field
Experience with Qualtrics, or other survey tools
Programming skill in Python or Ruby on Rails
Experience with A/B testing

Senior Business Intelligence Engineer Resume Examples & Samples

Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the device customer engagement, sales and marketing roadmap
Develop a thorough understanding of customer behavior, competitive product trends, and business drivers to inform decision making
Analyze key insight trends and build models that predict customer behavior, using statistical rigor to simplify and provide thought leadership to Fresh product and marketing groups
Collaborate with Finance and Product Management as a leader of ongoing analytical support
E-commerce experience a plus

Alexa Voice Shopping Senior Business Intelligence Engineer Resume Examples & Samples

Be a thought leader: Interface with business partners, architect, design, implement, and support BI projects & tools that derive customer shopping insights and shape business decisions
Excellent Knowledge of data warehousing concepts; coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
Knowledge and direct experience using business intelligence reporting tools like QuickSight, Tableau
Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline

Senior Business Intelligence Engineer Resume Examples & Samples

Develop and define key business questions to inform product design decisions
Design and build metrics, reporting, and processes as needed to support the team
Use data to identify opportunities and provide strong recommendations to influence leadership in how to respond to them
Architect the right data ecosystem to supply actionable business intelligence
Develop data storage strategy and design data views for business needs
Lead engineers to implement design of data architecture
Combine expert knowledge of statistical methodology and analysis with advanced programming skills to support complex analyses
Uphold the highest standards of data collection, reporting, and analysis across our team through all phases of software development
BA/BS degree in analytical area such as Statistics, Mathematics, Computer Science, Economics, or related discipline
5+ years of relevant experience with data mining, SQL, building reporting, and statistical modeling
Experience working in cross-functional teams and
Master’s or higher degree in analytical area such as Statistics, Mathematics, Computer Science, Economics, or related discipline
Communicating with business and technical customers to drive requirements analysis
Ability to manage multiple competing priorities simultaneously, meet tight deadlines, and drive projects to completion
Ability to understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful, effective BI solutions
Experience with STATA, R, SAS or other statistical software packages

Senior Business Intelligence Engineer Resume Examples & Samples

Collaborate with applied scientists to build prediction and machine learning models to help customers find items they will love
Work closely with product managers and UX designers to define the product strategy
Has a strong track record of working with large and complex data sets, and translating data into insights to drive key business and product decisions
Has strong customer and business judgement and is able to propose options that effectively
4+ years of relevant experience with data mining, SQL, building reporting, and statistical modeling
Strong problem solving skills, and an ability to apply them in a fast-paced business environment

Senior Business Intelligence Engineer Resume Examples & Samples

Support the development of selection recommendations for Sellers
Work with extremely large datasets and manipulate/mine data from database tables (Redshift, Oracle, Data Warehouse)
Use Research machine learning algorithms and implement by tailoring to particular business needs and tested on large datasets
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Develop new metrics to track our business and uncover previously unforeseen trends
Seek opportunities to inject advanced analytical techniques into FBA’s current environment
Bachelor's degree in Computer Science, Math, Statistics, Engineering or a related field
6+ years of professional experience in analytics, business analysis or comparable consumer analytics position
Proven problem solving skills, project management skills, attention to detail, and exceptional organizational skills
Ability to deal with ambiguity and competing objectives in a fast paced environment
Masters degree is preferred in Business, Engineering, Statistics, Computer Science, Mathematics or related field
5+ years of relevant experience in a business analyst/data analyst/statistical analysis role
Understanding of data warehousing, data modeling concept and building new DW tables
Experience with building multi-dimensional data models to serve as a foundation for future analyses
Experience with predictive modeling

Senior Business Intelligence Engineer Resume Examples & Samples

Strong analytical skills with passions on working with structural data sets
Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL)
Effective analytical, troubleshooting and problem-solving skills

Senior Business Intelligence Engineer Resume Examples & Samples

Respond to high priority requests from senior business leaders
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 Business, Computer Science, Engineering, Mathematics, Finance, Statistics, or related discipline
5+ years of experience in analytics, business analysis or comparable analytics position
Demonstrated experience prioritizing business needs to develop a business intelligence roadmap
Experience in designing and implementing custom reporting systems and managing/directing technical teams
Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
Proficiency with MS Excel, SQL, ETL processes, Tableau or other BI packages
MBA or advanced degree
Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
Experience with technical leadership/mentorship to other engineers for the best practices on the data engineering and or BI space

Senior Business Intelligence Engineer Resume Examples & Samples

Lead the development of advanced BI applications using the MS BI stack/Tableau, T-SQL/stored procedures as well as MDX/DAX. The MS BI expert should have a good understanding of the SSAS architecture and be able to provide insight into best practices and advanced techniques
Work with business teams to gain a good understanding of their business, analytical, and reporting needs, including the identification of critical metrics and KPIs
Partner closely with cross-function peers and leaders to deliver reporting projects that solve business requirements
Build and prototype dashboards to provide insights into the operations of a business function
Develop rich interactive visualizations integrating various reporting components from multiple data sources
Leverage strong analytical and problem solving skills to identify and deliver actionable insights to relevant decision makers
Design and develop Business Intelligence solutions using multidimensional cubes MOLAP and Tabular Models
Provide training and expertise to business users and other stakeholders on Self-service BI
Proficient building more complex calculations and presentations
Work closely with the Data Architecture team and provide technical design recommendations on the data mart structures which support analytical applications
Provide and own the technical details for implementation and maturing of BI solutions
Design functional specs for BI front end applications including dash boards and reporting, considering appropriate data flow and capture
Must be able to routinely work with little or no supervision
Perform ad-hoc analysis that helps in understanding business and performance trends. Interpret the results and weave insightful stories to stakeholders
Effectively and efficiently handle multiple and shifting priorities
Strong understanding of Tableau Architecture and Administration desired
Provide thought leadership, best practices, solutions that are functionally and technologically sound, and standards required to deliver effective BI solutions to clients
Actively participate as an analytics /Business Intelligence advocate and expert to help promote the development of a data driven culture
Ability to influence technical tradeoffs with client stakeholders
Participate in rotation of on-call support
Identify problem trends and corrective actions and documenting these through modification of existing best practices guidelines
Provide expertise and guidance to other developers in the use of the toolset
Develop and enhance relationship between developers and customers through good practices of Customer Service
Special projects as requested

Senior Business Intelligence Engineer Resume Examples & Samples

Lead the design, development, evolution, and management of all planning metrics and GOI initiatives of varying scope and timeframes
Create a frictionless and self-serve environment for regional teams to vend standardized capacity metrics with formats/templates for direct insertion into SVP review documents
Analyze key inputs and metrics to identify anomalous trends and create appropriate alerts and workflows
Partner with tech teams to define requirements for new tools and metrics and influence tech solutions roadmap
Act as single point of contact for Regional Ops teams to assist with Capacity Planning metrics, Data Tables and engineer regional views when appropriate
Plan and facilitate the deployment of large change management initiatives related to adoption of standardized process and analytics
Create and organize policy, practices and governance program
Partner with GOI team members to design optimal supply chain solutions to new business initiatives
Develop standardized metrics to evaluate and benchmark GOI project success
5+ years’ experience in relevant field
Experience with reporting and visualization tools such as OBIE and Tableau
Excellent written and verbal communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
Past experience working with business functions (e.g. sales, marketing, finance) within a company and/or customers
Proven analytical aptitude, including the ability to mine and analyze large, complex data sets
Demonstrated ability to work well in a team environment under tight deadlines
Ability to influence without authority, clear communication and negotiation skills

Senior Business Intelligence Engineer Resume Examples & Samples

You will display competency to analyze data, design and build predictive and decision models and design metrics to measure the performance of the business. You will interact with the business groups that rely on the metrics as well as the decisions produced using predictive models. You will interact with software engineers to incorporate and improve predictive and decision models into optimization algorithms and control systems
The ability to understand business goals, system platforms and processes and recommend new approaches and procedures to effect standardization and improvements in meeting business objectives, productivity and development of large scale high volume technology platforms
Drive the creation and implementation of Standard Work quality initiatives to meet and exceed Business Plans
Passion for innovative solutions and process improvement; Demonstrated experience driving processes improvements with specific skills in Kaizen methodologies
Strong project management and analytical skills; ability to lead projects at a network level to influence and obtain buy-in, and then drive execution, analysis and achievement of the right results
Drive continuous improvement, defect reduction, standard work and culture change through best practice sharing, vocal advocacy, and visible hands-on leadership
Experience with rapid and complex changing work environments
The ability to be comfortable with a high volume workload and not be afraid to "roll up your sleeves"
A strong solutions focus and be comfortable working in an environment which demands strong deliverables along with the ability to identify problems and drive appropriate solutions
Strong internal and external customer service focus
The ability to manage multiple priorities simultaneously - orientated on results
Excellent organizational and interpersonal skills a must
Experience working with a wide range of predictive and decision models and data mining techniques, as well as tools for developing such models
Resume showing steady progression of 5 to 7+ years in operational excellence environments and experience in Fortune 500 company(s)
Resume showing steady progression in the area of Six Sigma methodologies, standardizing of tools/systems,
Advanced degree from a top tier graduate school. (MBA or Masters preferred)
Blackbelt Certification with strong evidence of performance and impact
Strong evidence of stretch assignments that are evidence of superior performance in previous roles

Senior Business Intelligence Engineer Resume Examples & Samples

Interact with Engineers, Product Managers, Data Scientists and Business Analysts to understand data, reporting and analytical needs
Work with Business Analysts and Product Managers to translate information requests into meaningful and actionable reports and dashboards
Help analyze, visualize, and provide analytics on massive amounts of data captured daily to build reporting solutions to support various company initiatives
Validate BI solutions against requirements for consistency and accuracy
Evaluate emerging technologies in BI space and provide recommendations

Senior Business Intelligence Engineer Resume Examples & Samples

BS/BA in CS
Demonstrated experience with multiple full cycle BI implementations in a technical architect role, utilizing business analysis skills during an iterative development cycle
Strong data modeling skills (Normalized and Multidimensional for Data Marts, including Star Schema, Snow-Flake Modeling, Fact and Dimensional Modeling)
Strong understanding of IBM DataStage/QualityStage
Strong understanding of COGNOS BI tools including Framework Manager, Transformer, Report Studio, Analysis Studio, Query Studio, and Metric Studio
NZ Analytics and Basic statistics -- crosstabs, significance testing and/or general linear modeling
Experience with Predictive, Web, and Text Analytics -- Omniture, Google Analytics, SPSS, SAS, R
Experience with Big Data tools (Hadoop, MapReduce)

Senior Business Intelligence Engineer Resume Examples & Samples

Researching and implementing machine learning algorithms
5+ years of quantitative and qualitative experience in Logistics/Supply Chain, Transportation, Engineering or Business
Experience using statistical software such as R, SAS, SPSS, Minitab
Advanced user of Excel or Tableau, able to manipulate data, write macros and create charts and pivot tables
SQL scripting for analysis and reporting
Experience processing, filtering and presenting insights around large data sets (millions of rows)
Experience working in a fast-paced, high tech environment (preferably software development)
Experience working in or with a complex international supply chain management organization
Experience incubating and commercializing new ideas, working with product managers, research scientists and technical teams from concept generation through implementation

Senior Business Intelligence Engineer Resume Examples & Samples

Experience building business intelligence solutions with the ability to
Must have a minimum five to seven years of experience in a business analytics position within an IT department
Must have a minimum three to five years developing data warehouse solutions to include DDL creation, source to target mapping, hands on ETL experience, and working knowledge of type 2 dimensions and incremental data loads
Must have a minimum three to five years of experience working with stored procedures
Must possess a strong understanding of relational data warehouse modeling to include star and snowflake schemas
Must understand modern reporting strategies including dashboard creation and actionable analytics

Senior Business Intelligence Engineer Resume Examples & Samples

You will have a direct interaction with AWS businesses, finance, and other BI teams to translate their business requirements into technical specifications
Your work will have a direct impact on the day-to-day decision making and operational planning processes within the AWS Finance organization
Development of reporting, analytics and decision support to enable the AWS Finance org leaders and teams create accountability and mechanisms for revenue targets, operational efficiencies, manpower planning globally, etc
Microstrategy Developer with an expertise in creating projects, BI models and Cubes for Self-Service solutions
Tableau Developer with an expertise to create visualizations that provide business insights for our partners
Being one of the key builders of our BI Data Marts for supporting our Finance org and other Amazon Corporate organizations
Research Machine Learning algorithms and implement technical solutions tailored to individual finance team org and business needs, and tested on large datasets
Maintaining ETL processes related to BI Data Marts
Bachelor's degree in Computer Science, Information Systems, or related technical field
3+ years proficiency with TABLEAU, Microsoft Excel to include making charts, data manipulation, pivot tables, creating macros, and visual basic knowledge
Experience using one or more programing languages Python, Ruby etc… programming languages
Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data
Advance/Master’s Degree in Computer Science, Information Systems, or related technical field
Experience with statistical analysis tools like ‘R’, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling
Experience in developing and deploying DataMart or data cube solutions
Comfort with ambiguity and a willingness to work with a high degree of autonomy

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