Analytics Engineer Resume Samples

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K Bednar

Kaley

Bednar

488 Jacobi Union

Houston

+1 (555) 207 7305

488 Jacobi Union

Houston

Phone

p +1 (555) 207 7305

Experience Experience

Chicago, IL

Analytics Engineer

Chicago, IL

Wisoky, Hoeger and Mitchell

Chicago, IL

Analytics Engineer

Prior role developing/managing/working with ETL/reporting tools, scripts, and techniques
Expand our existing iOS reporting structure/pipeline to include more detailed event reporting on our games
Gain a working knowledge of and participate in problem solving/troubleshooting application integrations, functional areas and projects
You have contact with the team lead(s) regarding the functionality, the planning and the priority setting of the design
Support the business in driving field metrics, providing training and technical support of APM diagnostics
Perform data-mining, data analysis and performance measurements on business-information systems utilizing analytics tools and methodologies
Perform data analysis, design and development of new and ongoing business intelligence (BI) tools involving complex EDW structures OR on OLTP systems

Detroit, MI

Digital Analytics Engineer

Detroit, MI

Nikolaus Group

Detroit, MI

Digital Analytics Engineer

Responsible for ensuring compliance with standards of tracking and data capture
Provides guidance on capacity planning and data tuning
Provides in-depth consulting on design of development projects
Monitor tags for mobile web pages, utilizing our tag management solution
Build tagging specification for all digital projects specific to Mobile App and Web
Build automated audit and regression plans using tools such as Observepoint
This individual is responsible for the solutioning and execution of our digital analytics products

present

Philadelphia, PA

Lead Analytics Engineer

Philadelphia, PA

Weissnat Inc

present

Philadelphia, PA

Lead Analytics Engineer

present

Successfully implementing process improvements impacting own work and work of others
Provides leadership in developing analytical solutions to
Provides leadership in developing analytical solutions to business problems through the design and programming
Support data lineage and data quality management
Work effectively in a fast paced, highly data driven, changing environment. Multi-tasking and prioritize projects
Recognizing and managing technical dependencies and/or limitations that impact analytic work
Design, develop and maintain on large-scale Data/Analytics applications

Education Education

Bachelor’s Degree in Computer Science

The George Washington University

Bachelor’s Degree in Computer Science

Skills Skills

Assess performance of KPIs and KPMs; surface exceptions to the respective teams. Setup and execute processes to enable operations to drive corrective actions as necessary
Work on an geographically dispersed team embracing Agile and DevOps strategies for themselves and others while driving adoption to enable greater technology and business value
Strong hands-on experience on dashboarding technologies e.g. D3, Tableau, Qlikview etc
Ability to follow Software Development Lifecycle (SDLC) process and should be able to work under any project management methodologies used
Setup and execute processes for performing exploratory data analysis to unearth insight or patterns that can be used to drive operational efficiency, further control cost per transaction of the operations teams
Knowledgeable in HTML, CSS and JavaScript
Setup and execute processes for performing exploratory data analysis to surface insight or patterns that can be used to drive operational efficiency, further control cost per transaction of the operations teams
Shows Initiative and self-confidence, is adaptable and is able to cope with changing and evolving priorities
Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail
Ability to learn technology quickly through instruction and self-training

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15 Analytics Engineer resume templates

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Applied Analytics Engineer Resume Examples & Samples

Proven track record of implementing a successful enterprise Analytics environment supporting Big Data requirements, data modelling development and deployment
Data Mining and predictive analytics software: R, SPSS, SAS
Large-scale data processing: Hadoop, MapReduce, HDFS
Extensive experience of application development and delivery
Ability to work under challenging circumstances without sacrificing quality or attention to detail
Experience of running global, multi-site development teams
Experience with essential statistical and machine learning algorithms, including classification. Regression, clustering, statistical learning, ensemble methods
MI: SAP Business Objects, Microstrategy, Cognos
ETL and Data Cleansing: Informatica; IBM InfoSphere DataStage; AbInitio; Oracle Warehouse Builder (OWB); Oracle Data Integrator (ODI); Trillium; DataFlux
Database Management Systems: Oracle, Sybase, PostgreSQL
Data Warehouse and Metadata Management: SAP BW; Kalido; Business Objects Data Services (BODS)
Master Data Management solutions (e.g. Siperian; Tibco CIM)
Experience of development with Business Discovery technologies such as QlikView and Tableau
Experience of developing with Java on a UNIX platform, as well as Perl

Analytics Engineer Resume Examples & Samples

Have 2-5 years of experience with full-time Python software development and are familiar with Java
Are good at simplifying insights and presenting them in an understandable form
Understand statistics and distributions and are eager to learn more
Are comfortable working in a large dynamic team with rapidly shifting priorities

Advanced Analytics Engineer Resume Examples & Samples

Analysis of the organization's business needs with the capability to translate LoB monitoring, advanced analytics and capacity planning use cases into design and implementation plans
Engineering and architectural development of robust fault, performance & capacity solutions across GTI and line of business partners
Ability to create and manage visualization/dashboard data consumption tools based upon specific infrastructure metrics/alerts/events/supermetrics and business use cases
10+ years of experience in Systems Management Engineering and related monitoring tools
5+ years systems management analytical and performance/capacity tool experience,
Experience in medium to large enterprise or service provider monitoring systems, system management architecture, analysis, engineering and design
UNIX (RHEL, AIX, Solaris); Windows (2003, 2008); virtualization VSphere, KVM, HyperV, Citrix
3 or more years experience in engineering or administering infrastructure (storage, network or compute)
Must have experience with dashboard and visualization tools such as EDGE, VMWare VCOPS dashboarding tools, Business Objects, Microstrategy or similar
Experience managing multiple projects and priorities
Ability to display initiative, problem identification, problem solving and independent decision making
Results driven, ensuring short-term goals are achieved while supporting long-term initiatives with an appropriate sense of urgency
Private/hybrid cloud and associated automation tools, platforms, monitoring and management systems
Proficient in SQL and PL/SQL Programming for creating queries, checking database integrity, including query design and performance and ETL processing
Experience in scripting and automation such as
PERL, Shell (Bourne, Korn, C-Shell), .NET, JAVA, JavaScript, HTML, ASP, and PHP
Resource consumption monitoring to support life-cycle management, capacity planning and charge/showback
Experience with Database tools (Oracle/SQL Server /Sybase)

Analytics Engineer Resume Examples & Samples

Automotive software experience preferred
5-7 years object oriented programming / scripting experience in Java or similar tool-set
2-3 years web analytic testing experience with focus on optimization testing tool implementation and test measurement (Adobe Test & Target or other A/B and MVT testing tool)
2-3 years web analytic implementation experience setting up sites for personalized content
1-2 years of experience in implementing web analytic leveraging tag management (Adobe DTM, Google Tag Manager or Tealium)
2-3 years of experience database administration ( SQL Server, Oracle, MySql, other)
Familiarity with business intelligence and reporting tools (Report Builder, Tableau, etc.)
Strong analytic and problem-solving skills, including root cause analysis
Skill in understanding and developing process flows
Must be a team player with good people skills
Knowledge and experience with Agile

Analytics Engineer Resume Examples & Samples

Ability to communicate with technical and nontechnical personnel
Strong problem solving and analysis skills
Experience with Java, Python, SQL, and R
Experience with Hive, Pig, and Sqoop
Experience with MapReduce and Hadoop Ecosystem
Experience with Scripting Languages (bash shell and PHP)
Understanding of SDLC and Continuous Integration
Understanding of Test Driven Development and Agile Methodologies
Understanding of RESTful and SOAP services frameworks
Bachelors Degree in technology field (Computer Science, Engineer, etc.)
Experience with Cloudera Hadoop
Experience with Amazon Web Services or other IaaS platforms
Experience with Mahout or Spark MLlib
Masters Degree in technology field (Computer Science, Engineer, etc.)

Analytics Engineer Resume Examples & Samples

System model, Modeling, and Simulation
Systems analysis
Requirements engineering
Software (Java, JSON, XML, REST programming)

Well-being Analytics Engineer Resume Examples & Samples

Conduct analysis that measures Well-being status and the effectiveness of associate Well-being initiatives designed to impact that status
Develop and implement a roadmap for managing production and automation of Associate Health and Wellbeing data including Biometrics, Clinical data, Performance data, and program participation
Maintain overall data completeness, accuracy, and consistency of associate Well-being information
Identify associate Well-being data gaps and issues
Assist the Associate Health and Well-being team with access to associate well-being data
B.S. degree in Actuarial Science, Computer Science, Mathematics, Statistics, Biostatistics, Epidemiology, Engineering, Public Health, Biology, Biomedical Sciences or related fields
Skilled in SQL
Skilled in SAS
5-7 years of experience performing data analytics
An understanding of database management systems, data warehousing concepts, and data usage
Ability to design and manage databases
M.S. or MBA

Infotainment Analytics Engineer Resume Examples & Samples

Strong background in analytics, cognitive computing, or machine learning applied to large data sets
Experience with analytical software tools, such as Hadoop
Experience with vehicle controller area networks and simulation tools
Automotive software design and release experience with an Automotive OEM or Tier 1 supplier in the area of telematics, multimedia, voice recognition, navigation, and/or other high complexity systems

Lead Analytics Engineer Resume Examples & Samples

The engineer would work closely with both the engineering and cross-functional teams like product, project and analysts to manage a growing family of analytic applications for Disney Interactive
Design, develop and maintain on large-scale Data/Analytics applications
Collaborate closely with a talented team of analytics engineers and analysts
Working with business stakeholders to gather, analyze, and then translate requirements in BI reporting area – either recommending an existing solution, developing a solution, or synthesizing requirement for delivery to engineering teams for development
Work effectively in a fast paced, highly data driven, changing environment. Multi-tasking and prioritize projects
Provides leadership in developing analytical solutions to business problems through the design and programming
Create a robust set of tools to enable rapid exploration, development and deployment of solutions around data processing
Ensures quality of all technology deliverables
Recognizing and managing technical dependencies and/or limitations that impact analytic work
Understands and adheres to development and documentation standards, database design and storage
Performs technical proof of concepts
Provides leadership in developing analytical solutions to
Benchmark and tune Analytics clusters
Support Configuring, sizing, tuning, and monitoring analytic clusters
Streamline cluster scaling and configuration
6+ years of development experience with specific focus in developing highly scalable web and/or enterprise technology projects
Experience facilitating technical design meetings and infrastructure decisions
Strong analytical aptitude required
Demonstrated ability to effectively handle competing priorities
Experienced with SQL with experience working in large-scale analytical environment like, Hadoop Hive & columnar Analytic databases like BigQuery, Vertica, Redshift
Experience with Data Visualization stack: javascript, djanago, CSS, HTML, D3
Designed system architecture and data model with analytics engineers including evaluation and deployment of new technologies
Experience in using Apache Storm
Proficiency on OOT development, testing and deployment with Python/Java. Knowing Hadoop-related technologies like Pig, Hive, Flume, Storm, Spark a is big plus
Proficiency in scripting to manipulate data, develop tools and automate process in unix/linux environment. Skilled in scripting languages (Shell, Python)
BS or MS degree in Computer Science or technology-related field; or equivalent experience

Analytics Engineer Resume Examples & Samples

Monitor and validate the daily data flow and quality
Develop program by following analytical solutions to help solve business problems
Provide engineering support for the usage and interpretation of data to various business partners
Develop analytical solutions through the design, programming and implementation of business intelligence and data-warehouse constructs and presentation layers
Design and develop data-sets to support analyses
Perform data-mining, data analysis and performance measurements on business-information systems utilizing analytics tools and methodologies
Perform data-extraction, transformation and loading (ETL) development and programming
Design and build information-delivery systems and solutions
Perform data-warehouse design and programming
Build data pipeline to support application engineers to use data to optimize personalization and recommendation
Be part of the team to perform the technical proof of concepts, explore new technologies for machine learning such as google tensor flow or open source APIs/packages
Must contribute to overall team success; committed to building a strong team
Solid engineering background with SQL, familiar with Linux script, Java or Python
Good background with statistics skills such as R
Familiar with data mining and machine learning
Passionate about working with large volume of data
Strong problem solving skill to identify the root cause and implement the fix
M.S degree in computer science, mathematics or economics with math background

End User Analytics Engineer Resume Examples & Samples

Participate in product vendor selection, proof of concepts, and planning discussions to ensure decisions include consideration of End to End monitoring views
Meet regularly with Service Owners and application stakeholders to understand the entire application portfolio and ensure current and future monitoring roadmaps align with application/system needs
Lead efforts to audit and remediate any gaps in the monitoring tools
Collaborate with internal teams to align tools to data elements and data aggregation
Must be detail-oriented, proactive, responsible and demonstrate an ability for getting the job done
Keeps abreast of latest trends and developments
Must have excellent written, verbal communications and presentation skills
Proficiency in Python, PERL, Shell Scripting and macro’s
Splunk Certified (preferred) or advanced Splunk experience in designing, developing, deploying & supporting large Splunk environments
Strong Experience in Deploying and Operating Linux, UNIX and/or Windows at the SA level with a strong bias towards automated deployment and operations experiences
Deep understanding of Distributed Systems and the supporting technologies including Network, Storage and Middleware systems
Technical problem-solving skills
Overall IT experience in a Client-Server environment, with practical knowledge of distributed, and desktop technologies
Infrastructure architecture & engineering experience, including functional and technical requirements gathering, and solution development
Advanced written and oral communication capabilities, ability to influence and successfully interface with executive leadership
Broad knowledge of advanced environment monitoring & management tools, performance modelling tools, capacity analysis tools, and other advanced modelling and trending tools
Experience in designing, building, implementing, and supporting Monitoring tool solutions
Advanced to Expert knowledge in various Monitoring tools
APM tools (DynaTrace, AppDynamics, Logi, vCOPs)
Synthetic or UE tools (, LoginVSI, BSM/Topaz)
Data visualization / analytics tool sets (Splunk, ElasticSearch)
Advanced Splunk is a must

Analytics Engineer Resume Examples & Samples

Building tools/visualizations to help explore and explain data interactions
Expand our existing iOS reporting structure/pipeline to include more detailed event reporting on our games
Implement data checking routines to ensure the fidelity of the data coming in from users, known deployment reports are consistent with data
Work in iterative processes to validates findings
Communicate with Amplify team to exchange knowledge of our data structure
Provide thorough documentation of the tools created and maintained during the duration of the work
Communicate on project requirements, tasks and priorities
Bachelor’s Degree in social science research, behavioral science, information science, computer science, mathematics, or a related discipline
Demonstrated experience (e.g. Consulting, Finance, Internet space, etc.) performing data-driven analysis, including experience in data analysis, data-mining, research, etc
Experience with statistical analysis package; R scripting/programming skills
Experience in data analysis for games a strong plus, but candidates with finance, consulting, digital media and e-commerce are equally welcome to apply
Passion for Games
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.Familiarity with data analysis and statistical methods
Recommends, uses and supports various query tools for accessing/presenting data
Ability to prepare statistical, graphical, and narrative reports
Ability to work both independently and in a team-oriented, collaborative environment

Advanced Analytics Engineer Resume Examples & Samples

Machine learning enabled analytics Application development and programming experience
Builds, documents, and tests changes to an application subsystem. Codes, tests, debugs, documents, and implements complex software applications. Creates more complex prototypes and ensures deliverables are high quality and meet user expectations. Supports system and integration testing activities. Initiates design reviews for new applications and adheres to software development standards
Resolves and helps mitigate production application issues and assists less experienced application developers as needed. Works with other business and technology teams to support resolution of end-user inquiries. Contributes to the documentation of production support processes. Anticipates long term support issues and plans for corrective actions. May perform root cause analysis to identify permanent resolutions to software or business process issues
Strong communication skills (both oral and written) and the ability to work effectively in a team environment are required
Bachelor¹s degree (MS or higher preferred) in computer science, management information systems, or related discipline, or equivalent work experience
Strong development experience with Java, Object-Oriented Programming, and Scala is a must
Knowledge of distributed programming, actor programming model, AKKA and Spark Stream processing is a plus
Knowledge of SQL and No-SQL database platforms is a plus
Experience building large-scale data pipelines for analytics solutions is a plus
Knowledge and experience in applying and implementing machine learning and AI technologies for retail domains is a plus
Development exposure on Big Data technologies such as Hadoop, NoSQL and other distributed environment technologies based on the needs of the organization
Experience and/or deep knowledge of distributed supply-chain optimization, IOT is a plus
Must have experience working with different machine learning algorithms
Experience working within the cloud development is a plus
Exposure to DEVOPS environment is a plus

Analytics Engineer Resume Examples & Samples

Provides strategic direction, IT engineering support and Discovery Zone platform roadmaps to improve performance for analytics professionals, data scientists and IT in the Ford’s ecosystem
Supports the management of cross-functional teams, external suppliers, application development and IT operations to evaluate, select, engineer, uplift, enhance, and deploy tools for use
Supports the management and actively participates in technology use design, platform technology launch and training direction for tools in the Discovery Zone
Analyzes the use of analytic tools, actively participates in technology design decisions to ensure that the zone meets all customer needs
Secures the Data Supply Chain and Discovery Zone infrastructure. Develops business controls to comply with legal and regulatory requirements and corporate policies
Works with IT to resolve system performance or tool related issues for the user
Participates in external forums and tool user groups looking for improved techniques for tool deployment and development, host learning sessions with vendor support and contribute to the future vision of the Discovery Zone
Bachelor’s Degree in Computer Science, Management Information Systems, or related IT discipline
2+ years of demonstrated work experience in architecting and supporting data and analytic environments
2+ years of experience with Big Data systems including Hadoop and analytic tools such as: SAS, Hive, Apache Pig, Hadoop, SQL, QlikView and Tableau
2+ years of IT related experience including project management proficiency in governance, integration management, scope management, and quality
Experience launching IT systems and working with project management on deployment of tools and infrastructure for the analytics customer in a global environment
Related technical certificate/s and PMP Certification
Experience purchasing software and implementing software in a corporate environment
Strong understanding of analysis and computational complexity and ability to programmatically solve problems
High Level communication skills to influence and persuade others

Analytics Engineer Resume Examples & Samples

Hadoop Ecosystem innovation and expansion
Support of Walt Disney Parks & Resorts partners with data collection, extraction and processing
The Analytics Engineer reports up to the Manager, Data Services and does not have direct reports

Speech Analytics Engineer Resume Examples & Samples

PhD (preferred) or Master’s degree in electrical engineering or computer science, with experience in advanced speech signal processing and in state of the art machine learning techniques for speech processing
Additional background in natural language processing is useful
Work experience outside the PhD institution, including internships, is preferred
Candidates should have an interest in the topic area, excellent programming skills, be a quick learner, be proactive and efficient, and work well both individually and in teams

Analytics Engineer Resume Examples & Samples

Assist in the design of custom analytics reports and efficient HQL/SQL queries
Analyze query results using Excel or other statistical tools
Create reports for A/B Test status
Identify areas of opportunity from analysis and brainstorm creative solutions with team
2+ years of professional experience in analytics, statistics or engineering
SQL/HQL/MySQL
Understanding of relational databases
Ability to work with little direction, self-directed
Agile/Scrum software development experience is a plus

Junior Business Analytics Engineer Resume Examples & Samples

Developing a strong, mutually beneficial relationship with the business stakeholders and internally within the QR&A department
Engaging various business areas to evaluate potential opportunities for new or better business relationships
Understanding the business needs of your partners and how potential analytical solutions will impact their business results
Identifying the right internal partners and analytical solutions that could answer the business’s problems
Demonstrating working knowledge of analytical solutions and being able to apply and communicate them with the business
Drives project execution from ideation to delivery in an Agile project framework, with an emphasis on measurable, value add deliverables
Communicating clearly throughout the project process to all parties involved about scope, timeline, issues and any changes to them
Ability to perform quantitative measurements, ensuring projects deliver on their goals
Ensuring partnership through the development process to in order for successful transition of research to an operational state within the business unit
Documenting all communications, processes, data and considerations involved in the project
Intermediate Qualitative and Quantitative analytical skills, including knowledge of the use of data sources and applications to conduct research
Beginner/Intermediate skills in

Business Analytics Engineer Resume Examples & Samples

Works to identify and engage stakeholders
Starts to work with business partners to contribute to strategic vision
Understands the business in their focus area and how potential actions will influence the business
Leads moderately complex medium impact projects from ideation to delivery in an Agile framework, with an emphasis on measurable, value add deliverables
Able to contribute to high complexity projects
 Bachelor Degree: Business or Technical
 Intermediate: Knowledge of insurance business operations
 Beginner/Intermediate Customer Focus: Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions, and ability to leverage that information in creating customized customer solutions
 Beginner/Intermediate Analytical Thinking: Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business
 Intermediate Business Acumen: Knowledge, insight, and understanding of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to diverse situations
 Beginner/Intermediate Business Analytics: Knowledge of technologies, techniques and practices for the evaluation of business performance data; ability to analyze business performance using statistical methods to justify and drive future business planning decisions
 Intermediate Consulting: Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external of QR&A; ability to apply this knowledge appropriately to diverse situations
 Intermediate Decision Making and Critical Thinking: Understanding of the issues related to the decision-making process; ability to analyze situations fully and accurately, and reach productive decisions
 Beginner/Intermediate Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors
 Beginner/Intermediate: Microsoft Office Suite
 Beginner/Intermediate: SQL, R, Python, Tableau or other analytical tools

Advanced Analytics Engineer Resume Examples & Samples

Designs algorithms and processing pipelines, develops, implements, documents, and tests changes to an application subsystem. Codes, tests, debugs, documents, and implements complex software applications. Creates more complex prototypes and ensures deliverables are high quality and meet user expectations. Supports system and integration testing activities. Initiates design reviews for new applications and adheres to software development standards
Leads, coaches, and mentors other team members. Performs cross-training and facilitates information sharing among team members. Assist with management of team tasks, projects, and performance reviews
Provides guidance in requirements gathering. Collaborates with Functional Analysts in completing deliverables. Translates business requirements and functional designs into technical designs. Assists with development of functional designs and resolves complex design issues. Acts as senior technical expert to analyze the business needs
Resolves or assists with escalated software application issues as needed. Leads and coordinates activities to develop and execute plans to mitigate occurrence and reoccurrence of production issues. Oversees and contributes to the documentation of production support processes. Anticipates long term support issues and plans for corrective actions. Supervises and collaborates with support teams to ensure complex issues are resolved in a timely manner. Performs root cause analysis to identify permanent resolutions to software or business process issues.　
Analyzing, diagnosing and proposing algorithmic solutions enabled by ML/AI techniques and/or advanced distributed processing techniques for one or more business systems domains of supply chain, personalization, inventory management, IOT
Real-time Streaming Analytics Application development and programming experience
Providing support to various business applications
Providing technical oversight and guidance on technical projects on a variety of application platforms
Mentoring, coaching and leading other technical team members
Working with process owners and identifying information technology solutions that enable business process improvements
DevOps experience
Bachelor’s degree in computer science or related discipline, MS/Phd is a plus
Deep understanding of Machine learning algorithms and AI and experience with exploiting such constructs for smart systems
Strong working knowledge of SQL and No-SQL Platforms. Experience with Cassandra preferred
Extensive development experience with Java, Object-Oriented Programming, and Scala is a plus
Experience modelling and analyzing business data
Strong working knowledge of big data analytics and relevant technologies such as Hadoop, Hive, Hbase
Deep knowledge of data parallel processing and relevant technologies for real-time analytics such as Kafka, Spark, MLLIB
Experience in architecting and building data API’s is a plus
Experience in building a Domain Specific Language (DSL) is a plus
Ability to provide leadership, with the ability to coach and mentor team partners
Ability to think in broad strategic terms for technology and business

Solutions Analytics Engineer Resume Examples & Samples

6+ years of experience in a relevant field
Comfortable working as both part of a high-performing, diverse team and as an independent performer
Strong PC skills, including Microsoft Excel, Word, Project
Experience with Unix and Python/SQL scripting

Senior Business Analytics Engineer Resume Examples & Samples

Successfully builds and maintains relationships with business stakeholders both internal and external of QR&A
Able to connect people and existing/ongoing work to business problems
With no direction develops appropriate analytical solutions for business problems
Communicates clearly throughout the project process to all parties involved about scope, timeline, issues and any changes to them
Ensures partnership through the development process to in order to ensure the successful transition of moderately complex research to an operational state within the business unit
Documents all communications, processes, data and considerations involved in the project
Uses a variety of data sources to better understand business results
Identifies potential out of pattern elements in our business results and drives action based off of the information
Bachelor Degree: Business or Technical
Intermediate: Knowledge of insurance business operations
Beginner/Intermediate Customer Focus: Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions, and ability to leverage that information in creating customized customer solutions
Beginner/Intermediate Analytical Thinking: Knowledge of techniques and tools that promote effective analysis and the ability to determine the root cause of organizational problems and create alternative solutions that resolve the problems in the best interest of the business
Intermediate Business Acumen: Knowledge, insight, and understanding of business concepts, tools, and processes that are needed for making sound decisions in the context of the company's business; ability to apply this knowledge appropriately to diverse situations
Beginner/Intermediate Business Analytics: Knowledge of technologies, techniques and practices for the evaluation of business performance data; ability to analyze business performance using statistical methods to justify and drive future business planning decisions
Intermediate Consulting: Knowledge of techniques, roles, and responsibilities in providing technical or business guidance to clients, both internal and external of QR&A; ability to apply this knowledge appropriately to diverse situations
Intermediate Decision Making and Critical Thinking: Understanding of the issues related to the decision-making process; ability to analyze situations fully and accurately, and reach productive decisions
Beginner/Intermediate Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors
Beginner/Intermediate: Microsoft Office Suite
Beginner/Intermediate: SQL, R, Python, Tableau or other analytical tools

Senior Performance Analytics Engineer Resume Examples & Samples

Excellent teamwork skills. We work with all engineering teams involved in iOS
Strong software engineering experience and interest in learning multiple areas
Experience building large scale real-world backend systems
Strong organizational and leadership skills

Analytics Engineer Resume Examples & Samples

Collect, process and analyze data related to engines and components reliability (time on wing, rejections, failure modes, ...), within contract boundaries and agreements, in support of definition of suitable maintenance policies and product improvement
Produce statistics and reporting about engine operation (Summary of Operations), as required by contracts
Collect, process and analyze data related to scraps, inventory levels and planned engine usage, within contract boundaries and agreements, to provide forecast analysis in support of spare procurement
Develop tools and expertise for engine predictive maintenance to maximize equipment availability
Collect and process data concerning level of embodiment of modifications/service instructions on equipment in service (status accounting)
Master Degree in Engineering (mechanical, aeronautical, electronics, IT) or Mathematics and Applied Statistics from an accredited university
Proven knowledge in Applied Statistics
Good English and Italian language knowledge, both written and oral

Intern Business Analytics Engineer Resume Examples & Samples

Engage with internal and external market research resources to develop clear application specific business requirements
Research buyer behaviors in the applications within Consumer / IMM market segments
Identify key outlets to promote online content and develop digital marketing contents
Support developing Go-To-Market plan including promotion campaign for an application based on in-depth understanding of the market, customers, ecosystem, channel requirements and competition
Support development of internal best practices and data mining/analysis/management tools to improve team efficiency/capability in managing customer and market data
Support development of external and internal digital marketing collateral including blogs related to above tasks
Relevant experience in consumer and industrial applications (e.g. digital TV, wearable, home automation, transportation, retail, digital signage, medical, etc.)
Good understanding or prior experience with basics of marketing and market research
Familiarity with semiconductors, memory markets/products knowledge a plus
Experience with digital marketing and on-line promotion tools (e.g. Google AdWords, Google Analytics, etc.)
Proficiency in Microsoft Office Tools

Analytics Engineer Resume Examples & Samples

Bachelor’s degree and five years of relevant experience in computer science, or engineering or a combination of education and relevant experience
Strong understanding of Business Intelligence and Data warehousing concepts and methodologies
Analytical capabilities to slice and dice data and display data in reports for best user experience
Strong programming skills, relational database skills with expertise in Advanced SQL and PL/Sql
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
Very strong hands-on experience on statistical programming platforms e.g. R, SAS, SPSS etc
Strong hands-on experience on dashboarding technologies e.g. D3, Tableau, Qlikview etc
Experienced at leading projects, mentoring technical team members, prioritizing tasks and meeting deadlines with minimal oversight
Strong PM skills, experienced in working with standard software development lifecycle
Experienced in working with business users, helping them understand complex scenarios and the power of data driven decision making. Examples strongly preferred
Self-motivated with high degree of initiative and excellent follow-up skills. Strong at written and oral communication; proven presentation experience; comfortable interacting with senior management audiences
Experienced at being the technology leader of the team - stay connected to industry about trends, best practices, tools etc

Principal Analytics Engineer Resume Examples & Samples

Masters in Electrical Engineering
Minimum of 20 years of experience in power systems optimization and market management systems
Experience working with RTOs or ISOs
Experience working in software systems
Highly collaborative and able to work across the organization to accomplish common goals

Analytics Engineer Resume Examples & Samples

Work with teams in ADS across verticals, define success measures at team level and required KPI and KPMs to be tracked
Establish reporting standards by role, region and vertical. Engage data engineering to deliver automated solutions, where possible
Assess performance of KPIs and KPMs; surface exceptions to the respective teams. Setup and execute processes to enable operations to drive corrective actions as necessary
Setup and execute processes of back-testing to verify the corrective action effectiveness and report
Setup and execute processes for creation and distribution canned analysis reports where automated solutions do not exist
Setup and execute processes for performing exploratory data analysis to unearth insight or patterns that can be used to drive operational efficiency, further control cost per transaction of the operations teams
Work closely with Workflow, Data Engineering and Software Engineering teams to drive initiatives on Operational efficiency
Bachelors in Computer Science Engg, Systems Engg., Statistics, Data Analytics, or a related field
5+ years of experience with relevant technologies, enterprise reporting systems, data analytics
5+ years of experience in working as an analytics or data engineering member working with cross functional teams
Masters in Computer Science Engg, Systems Engg., Statistics, Data Analytics, or a related field or an MBA preferred
Experience working with data visualization tools and creating data visualization concepts. (Excel, Tableau, or similar)
Experience of statistical analysis and tools such as SAS, R, or equivalent
Experience with reporting tools like QuickSight, Cognos, and others
Familiarity with AWS RedShift and other distributed computing technologies preferred

Analytics Engineer Resume Examples & Samples

Have awareness of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Sociability, Documentation Practices, refactoring and Testing Techniques
Ability to write code that meets standards and delivers desired functionality using the technology selected for the project
Understand performance parameters and can assess application performance
Understand core data structures and algorithms and has the ability to implement them using language of choice
Bachelors Degree in Computer Science or in STEM Majors (Science, Technology, Engineering and Math)
Strong technical foundation in the PC, Mobility, compute, Application or Network technology area
Comfortable in building features such as web services and Queries on existing tables
Aware of Methods and practices such as Lean/Agile/XP, etc. May have prior work experience in an agile environment, or introductory training on Lean/Agile. Aware of and able to apply continuous integration (CI)
Operates with general understanding of the impacts of technology choice to the software development life cycle
Experience with Automation and Orchestration tools (such as Chef, Puppet, Jenkins, Scalr, etc.)
Experience with multiple programming languages such as Java, C++, Python, R, etc
Experience with next generation business intelligence tools (Tableau, etc.)
Experience in IT Service Management environments
Familiar with Agile/Scrum methodologies
Background knowledge and experience with infrastructure and application delivery, including network (routing, firewall, etc.), DNS, VMWare, cloud computing, databases, web and application servers, and the tools used to manage these environments
Demonstrated ability to implement plans with a defined rhythm, metrics and process to ensure strong focus and consistent execution
Demonstrated ability to create, adapt, and execute plans to unstructured and/or complex problems
Demonstrated ability to use relevant information to anticipate problems and weigh options and promptly address issues, persevering through challenges
Experience with Cloud Platforms such as AWS, Azure, etc
Experience with Pivotal, Postgres, and Github

Lead Domain Analytics Engineer Resume Examples & Samples

Develop prognostics models for effective management of health of systems
Implement analytical solutions to effectively manage field issues
Model "degradation of equipment" under field usage conditions
Support implementation of fully integrated solution for field service
Serve as the technical expert in area of core responsibility
Identify problems and formulate solutions
Execute the design, analysis, or evaluation of assigned projects using sound scientific / engineering principals
Master statistics and understand how to implement data-driven decisions from technical data
Manage projects to completion and share technical knowledge with group
Generate alternative solutions to problems and take reasonable risks using advanced scientific concepts for product and process innovation
Communicate technical accomplishments through internal documentation
Participate in both short and long term projects and maintain balance to deliver on business objectives
Demonstrated experience with product risk assessments, use of FMEA and FRACAS systems
Knowledge of and exposure to manufacturing and engineering processes
Demonstrated commitment for process improvement
Excellent interpersonal, communication and teamwork skills
Leadership Skills and problem solving skills
Positive can do attitude and ability to work in an environment with globally diverse teams

M&D Analytics Engineer Power Digital Resume Examples & Samples

Identify the M&D analytics applicable for customized digital solutions of different turbine frames
Work with GE regional cross-function teams to develop M&D analytics solutions for condition monitoring of assets
Lead the implementation of M&D analytics for digital condition monitoring solutions of GE heavy duty gas turbines, steam turbine, as well as combined cycle power plants
Develop and validate M&D analytics for digital condition monitoring solutions of other OEM assets in coal and nuclear plants
Develop and validate analytics applications that integrate with larger, enterprise scale software platforms like predix and industrial internet technologies
Conduct high quality empirical research using a variety of data-mining, signal processing and engineering techniques to gain insight into our installed base of power plants and drive the development of high-value differentiated services
Own and maintain high quality algorithms and predictive models used to monitor various equipment in near real-time, detect/diagnose anomalies and identify opportunities for optimizing the performance of GE turbines or other OEM assets while minimizing life cycle risks and costs
Work with GE Monitoring & Diagnostics teams, Product Services, Reliability Engineering and Thermal Performance engineering teams in identifying opportunities for developing data-based M&D solutions for condition monitoring, prognostics and asset optimization of GE turbines or other OEM assets
Develop detailed technical approaches, engineering & software specifications to translate customer requirements into real-time algorithms & rules
Master's Degree in Electrical, Mechanical, Industrial or Aerospace Engineering, Computer
Solid knowledge of data analysis and multivariate statistics are mandatory
Experience with time series analysis, data mining, machine learning or other modeling

Analytics Engineer Resume Examples & Samples

Support big data and advance analytics projects, including implementation of ELT solution, acquisition and transformation of structured and non-structured data, writing complex queries and developing custom codes
Full stack development of analytic solutions
Utilize Teradata Aster in combination with other open source big data technologies to deliver innovative analytic solutions to our customers
Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed
Coach and mentor junior team members
In-depth database experience, preferably in a Massively Parallel Processing (MPP) environment
Ability to write complex SQL
Skilled in Java / Python / Scala and Unix Shell scripting
Knowledgeable in HTML, CSS and JavaScript
Experienced in data modeling / dimensional modeling
Experienced working in an agile development environment
Exposure to big data platforms like Hadoop or Spark is preferred
Background in applied mathematics/statistics, machine learning or natural language processing is a big plus
Must demonstrate the ability to articulate complex technical concepts to non-technical people
Willing to learn; develop expertise in areas outside of core comfort zone
Ability to learn technology quickly through instruction and self-training
Must be passionate, self-motivated, results driven, and able to work with minimum supervision

Analytics Engineer Resume Examples & Samples

Participate in the definition of technical scope and analytics objectives through question formulation, research, design and development using big data and cloud technologies
Develop a deep understanding of multiple Cox Automotive data sources – such as Media, Retail, Inventory, Financial, International, Vehicle, Consumer, Client and/or Marketing – and determine how best to link disparate data sets and extract value from them
Build cloud-based, big data analytics pipelines for both batch and real-time applications using tools such as Spark, Terraform, Cassandra, Dynamo, Redshift, ElasticCache, and ElasticSearch
Leverage Python, R, and cloud-based machine learning packages to develop predictive and prescriptive models and decision tools, acting in a consultative role to Analytics groups across Cox Automotive
Gain a working knowledge of and participate in problem solving/troubleshooting application integrations, functional areas and projects
Test and prototype new analytics tools, techniques and methodologies and produce appropriate artifacts to share knowledge gained
Collaborate with technology partners to understand enterprise requirements and identify appropriate analytics tools and patterns
Participate in solution rationalization, while evaluating the evolution of current and emerging technologies
Communicate clearly, strongly and effectively to small and large groups
MS/BS degree in Computer Science or Statistics, related field, or equivalent work experience
Understanding and experience with Big Data ecosystem and related technologies
Experience developing in languages and technologies such as Java, Python, Scala
Working knowledge of Linux operating system
Possess basic project management skills to track project work
Overall ability to use best practice tools, build tools and write scripts
Experience developing for the cloud (AWS, Azure, Google Cloud)
Experience with version control tools like Git or Subversion
Hadoop (Sqoop, Flume, HDFS, Solr)
Familiarity with machine learning and natural language processing behavior/systems
Familiarity with Business Intelligence tools/technologies like Tableau, SAS, and SQL

Analytics Engineer Resume Examples & Samples

Collaborate with key members of various departments to determine the definitions of essential data elements
Maintain documentation related to the Business Intelligence technology and data flow
Integrate corporate security policies into any developed Data Warehouse with the assistance of network administrators
Develop robust and precise ETL routines to load the Data Warehouse from various sources
Provide knowledge sharing among the IT department and power users within the business units
Keep abreast of advances in Business Intelligence technology and provide Maines recommendations on upgrades or acquisitions of new technology
Responsible for the stability and performance of data extracts into the Data Warehouse
Develop and deliver quality documentation of all delivered reports including data audit trails
Participate in idea generation that leads to company profitability, primarily through cost reduction
Continuously improve by developing skills through constant education
Minimum 5+ years of experience utilizing SAP technologies
Minimum 5+ years of experience in BI/BW application development and implementation for SAP; specifically with one or more of the following: SAP ECC 6.0 integration, SAP BW 7.x, SAP HANA 1.0, BEx 7.x, Enterprise Portal, ABAP Programming, Business Objects 4.x, SLT, Integration with non-SAP sources, Lumira
Minimum 5 years of experience with SAP BW architecture, data modeling with LSA/LSA++, design and development to enable review of the development team’s work and guidance, as appropriate
Demonstrated expertise with SAP BW and SAP Business Objects
Understanding of business concepts (profit, cost, metrics), basic statistical analysis (average, mean, standard deviation, trending) and reporting techniques (grouping, graphing, sorting)
Minimum 5 years of entire Software Development Life Cycle experience, delivering functionality on time, on budget and to meet business needs
Minimum 3 years of experience communicating technical and business issues/solutions to all levels of individuals, including manager, directors and executives
Experience in the development, implementation, and management of a Business Intelligence Architecture strategy and roadmap, preferred
Deep and broad exposure and understanding of both infrastructure and cross-functional technologies, preferred
Experience with BW 7.3+ on HANA, preferred
Experience with BW security, preferred
Experience in performance tuning and ETL best practices, preferred in process framework and a managed service model in order to ensure that project teams can obtain services efficiently
Demonstrated ability to organize, manage, and direct cross-functional teams to address and solve technical and business issues
Demonstrated ability to coordinate/lead multiple projects/activities with competing priorities

Analytics Engineer Resume Examples & Samples

Define and develop plant & fleet intelligence through monitored assets and software solutions data that provides customer value and sales/discovery support through power generation domain expertise coupled with data sciences & analytics
Work across cross-functional technical teams to develop insights and operational recommendations for power generation equipment
Assist in determining technical approaches to be used on monitoring, classification and operations optimization of thermal power plants
Ensure proper definition of data needs, evaluation of data quality, and critique appropriate statistical analyses; for critical projects, perform needed analysis
Effectively communicate technical analysis and results to business management
Partner across Power Services Engineering teams that are currently performing related activities to leverage current data, tools & methods, and to ensure common practices and interpretation of data
Bachelor’s Degree in “STEM” Majors (Science, Technology, Engineering and Math) from an accredited university or college
Must be willing to travel up to 15%
Previous experience with data sciences in application and development of analytics
Analytics development & programming with Python & R languages, AI and Neural networks methods
Knowledge of data-driven optimization algorithms
Excellent written and oral communication skills to convey technical concepts to business and technical personnel
GE Employees only: GE Analytics Engineer certification

Analytics Engineer Resume Examples & Samples

Bachelor's Degree in Computer Science, Information Technology or equivalent (STEM) or equivalent knowledge and experience with proven years of experience as data engineer
1-2 years of experience writing complex SQL
1-2 of experience with BI visualization and/or reporting tools (Expert level knowledge of Modern BI like Cognos, Tableau etc.)
1-2 years’ experience programming ETL programs using standard languages or tools (Informatica, Data Stage, Oracle or equivalent)
1-2 years’ experience performing data analysis and profiling, and designing ETL systems/programs
Understanding of data integration best practices, leading industry applications and features such as master data management, entity resolution, data quality assessment, metadata management, etc

Performance & Analytics Engineer Resume Examples & Samples

Masters / Bachelor’s degree from an accredited university or college in Mechanical or Chemical engineering
Master's in Thermal or Mechanical is preferred
Strong business acumen and ability to sell GE products to the customer
Ability to work effectively with minimum supervision
Prior project management experience is preferred
FEP program graduate is preferred (internal GE employees only)

Analytics Engineer Resume Examples & Samples

Setup and execute processes for creation and distribution of canned analysis reports where automated solutions do not exist
Setup and execute processes for performing exploratory data analysis to surface insight or patterns that can be used to drive operational efficiency, further control cost per transaction of the operations teams
Bachelors in Engineering perferably Computer Science Engg, Systems Engg., Statistics, Data Analytics, Industrial Engg., or a related field
Masters in Engineering preferably Computer Science Engg, Systems Engg., Statistics, Data Analytics, Industrial engg., or a related field or an MBA preferred
Experience with commercial off the shelf (COTS) reporting tools like QuickSight, Cognos, and others

Digital Analytics Engineer Resume Examples & Samples

Own Analytics Tag Management for Mobile App, Desktop, and Web for Retail Digital Rx, PBM and Specialty business areas
Build tagging specification for all digital projects specific to Mobile App and Web
Work with the technical team to architect and implement tags
Monitor tags for mobile web pages, utilizing our tag management solution
Identify needs for new tags and modify existing tags in collaboration with members of the Digital group
Review tags and key reports on an ongoing basis for accuracy and create plans to modify as needed
Generate actionable insights using various internal and external data sources

Analytics Engineer Resume Examples & Samples

Deep and passionate knowledge of software engineering principles and practices
Advanced Scala and Spark knowledge with either Python and/or R
Highly proficient with testing frameworks and libraries
Knowledge and interest in Big Data technologies, such as Spark, Hadoop/Hive, Kafka, Cloud, SQL, NoSQL
Experience of Data Science or advanced analytics and mathematical programming
Commercial project experience with a record of working in data science, with big data technology and mathematics

Business Analytics Engineer Resume Examples & Samples

Facilitate processes enabling data driven decision-making
Solve problems through combining business acumen with analytical skills
Identify opportunities to decrease maintenance cost based on data and without jeopardizing operational up time
Assist Operation team with maintenance related BI

Analytics Engineer Resume Examples & Samples

Work with Business and IT leaders across the company to understand BI needs and use cases and to ensure that enabling technology, infrastructure, staff, and processes are put into effective practice
Maintain deep and broad working knowledge of the BI marketplace, leading toolsets, and competitive differentiators. Stay abreast of companywide efforts to deliver BI business impact, and provide leadership on lessons learned and best practices throughout the company
Provide architectural perspective for the emerging BI ecosystem, with a focus on enabling fast time-to-market, business self-sufficiency, and integration between Big Data platforms, Data & Analytics team source data systems, and the BI environment
Participate in BI R&D and lead the execution of prototypes, pilots, and proofs-of-concept key to the maturation of the company’s BI capabilities
Support relationship development with new 3rd-party software and service vendors in the BI market, with the goal to ensuring that HCA is deriving cost-effective benefit from these relationships
Contribute to increased credibility of the IT&S BI organization such that it is seen as an internal Center of Excellence within the company
Participate in the ongoing evolution of Analytics practice that features
Master's Degree with healthcare or technical focus required; Bachelor's degree required
3 or more years of professional experience

Product Analytics Engineer Resume Examples & Samples

Masters in Computer Science, Industrial Engineering, Operations, Management Information Systems, or a related technical field
Strong problem-solving skills and ability to prioritize conflicting requirements
Excellent written and verbal communication skills and ability to succinctly summarize key findings
Ability to multitask and prioritize critical tasks and conflicting requirements with a high attention to detail
Skill with R, SAS or other analytic tool
Expertise in scripting including pulling, cleaning, and transform data
Proficient PC skills, including Microsoft Excel, and Word
Experience with Linux or Unix
Knowledge of Python or Java programming language
Familiarity with distribution or fulfillment center operations, software/firmware development or database administration

Business Analytics Engineer Resume Examples & Samples

Analyze and extract relevant information from large amounts data from various sources including (but not limited to) Amazon's historical business, crawled content from Publishers site, web analytics data on our external portal and website logs
Establish scalable, efficient, automated processes for large scale data analyses, develop models to find patterns, validate and prototype the model
Work closely with software engineering teams to drive real-time model implementations and new feature creations
Design metrics to measure the performance of the business and provide clear and compelling management reporting on a regular basis
Develop queries for ad-hoc requests and projects, as well as ongoing reporting
Provide valuable insights on what next to invest in
Masters degree in Computer Science, Statistics, Mathematics or a highly quantitative field
3+ years of professional experience in web analytics, business analysis or comparable analytics position
Hands-on experience in predictive modeling and analysis
Experience using SQL to analyze data in relational databases or data warehouses and to be able to use major programming languages (e.g. Java /C++) and/or scripting languages (Perl /UNIX shell) to process data for modeling
Experience with MS Excel and be able to write jobs on Hive/Hadoop
Ability to manage multiple, competing priorities simultaneously

Analytics Engineer Resume Examples & Samples

Understanding of overall Ariba Analytics projects, data and solutions
Responsible for quality, structure and management of data and analytics deliverables using the Business Network and Ariba Cloud Apps
Design and development of reporting solutions, dashboards, reports using BusinessObjects toolset
Responsible for design and development of SAP HANA information models and views
Model data, views and reports appropriately to drive business programs and decisions
Close adherence to the Privacy and Security controls around customer data
Ongoing development of a business intelligence architecture that enables fact-based decision making and ad hoc analysis and insight generation
Architect and plan for additional data sets to be brought into the analytics environment
Effectively interact with analytics and functional teams to gather/develop data requirements and translate the requirements into robust analytics and reporting solutions
Deep data modeling and data warehouse skillset
Understanding of HANA’s architecture and has experience with building Hana data models
Strong experience building HANA Views (Attribute, Analytic & Calculation Views)
Strong experience with SQL script, designing tables, data loads
Strong experience with BusinessObjects toolset or other Business Intelligence solutions
Strong analytical abilities; Comfortable with quantitative research and analysis to provide insights and business analysis
Involvement with metadata management, master data management and data stewardship
Superior written / communication skills and focus on detail
Minimum of 5 year work experience
BS in Information Systems, Software Development, Business, IT or Mathematics
Strong project / process management skills and ability to manage multiple projects simultaneously and deliver against tight timelines
Experience with ETL tools (such as Data Services) to extract both SAP and non-SAP data
Ability to improve and streamlining processes regarding data flow and data quality to improve data accuracy, viability and value
Friendly presence, good interpersonal skills, helpful attitude, always projecting a positive outlook in a fast-paced, sometimes stressful environment
Enjoys a dynamic work environments and taking on new challenges to meet evolving business needs

Principal Analytics Engineer Resume Examples & Samples

PhD in Chemical, Mechanical, Aerospace or related Engineering field
Minimum work experience of 15 years
Ability to translate business needs to technical requirements, propose, guide development and validate solutions
Able to communicate technical details with clarity to various stakeholders
Knowledge of Oil & Gas industry and separation processes
Solid understanding and expertise in chemical processes for O&G industries
Effective teaming, collaboration and problem solving abilities
Able to interface effectively with all levels of the organization and external customers
Strong working knowledge of other related disciplines of engineering common to O&G industry
Excellent influential, communication skills and business acumen to function as an arbitrator and advocate for technical issues

Senior Digital Analytics Engineer Resume Examples & Samples

Implement and supporting adobe analytics in adobe Dynamic Tag Manager (previously Satellite)
Develop dashboard, reports, and building classifications
Help team drive decision making development/tagging strategies for measurement plans
Work with business stakeholders, analysts and web development teams to optimize the reporting and analytics capabilities
Provide consultative direction to the development team, and enforce best practices and standards
Conduct testing and data validation of developed website, tagging, mobile applications, and mobile sites
Conduct Quality Assurance testing before implementation (for the above development types)
Documentation relating to existing processes
Continuous improvement of processes
Bachelor's degree in Computer Science or related discipline, or have equivalent work experience
7+ years - Web analytic experience with focus on measurement design and analytic tool implementation (Adobe Analytics [Omniture Site Catalyst], Google Analytics [GAP])
5+ years – Hands-on experience implementing tags using Adobe Dynamic Tag Manager (DTM), (previously Satellite)
5+ years – Adobe analytic (Previously SiteCatalyst), Client, Data Warehouse, and Report Builder
5+ Years – Experience with HTML, DOM Manipulation, CSS, JavaScript
5+ years – Digital marketing experience
5+ years - Experience with Adobe analytics, developing dashboards, reports, building classifications
Experience in web analytics tracking, testing, and validation
Experience in mobile analytics tracking, testing, and validation
Experience with creating/validating Solution Design document for the tagging strategy
Understanding of SEO and SEM
Experience in Object Oriented JavaScript design pattern and JavaScript MVC frameworks like Backbone.JS, Angular.JS, Node.JS, Ember.js

Productivity & Analytics Engineer Resume Examples & Samples

Lead and execute key productivity improvement projects
Performs advanced data mining & analytics on all productivity and reliability data to identify opportunities to further improve waste elimination and improve how work is performed
Leads or participates in efforts to define additional productivity data needed to identify & eliminate waste and in the subsequent efforts to develop and improve electronic tools and systems for said purpose
Establishing and maintaining key metrics focusing on leading indicators to improve reliability
Work with individual zone reliability engineers to execute the improve reliability work process, including maintaining the site reliability metrics (Reliability, Turnaround, Productivity, etc)
Develops processes to utilize other data sources to validate & improve planning standards
Develops management reports on productivity based on advanced data mining & analytics
Support site teams and networks using LEAN fundamentals: Maintenance Group Leaders Team, Planner Networks (Daily & Turnaround), Work Coordinator Network and Scheduler Networks, Reliability Engineer Network, Production Planning
Explore latest technologies in data mining and modeling, and their applications in context of maintenance and reliability projects
Background in scripting languages Visual Basics (VBA), either through coursework or projects is required
Solid data analysis skills, and knowledge of statistical and analytics software such as R, JMP, Tableau is required
Experience in areas such as manufacturing, maintenance, application of LEAN principles, advanced data analytics/modeling
Six Sigma Experience

Analytics Engineer, Senior Resume Examples & Samples

10+ years of experience with working on algorithms or developing software
3+ years of experience with using Java, Scala, or other high level programming languages
Experience with graph analytics
Experience with Apache Spark
MS degree in CS, Physics, or Mathematics
Experience with GraphX, Neo4j, or similar
PhD degree in CS, Physics, or Mathematics

APM Analytics Engineer Resume Examples & Samples

Two years’ hands-on experience with CA Introscope
Two years’ experience with Java J2EE Middleware platforms, including Weblogic (Fusion), Websphere, JBoss, Tomcat, Glassfish
Experience integrating with application logs and centralized logging aggregators such as SyslogNG
Technical experience with enterprise monitoring and capacity planning tools
Administrative experience with RHEL, Windows, AIX, and Solaris systems administration
Experience with scripting languages including Java, J2EE, Shell, WSLT, SQL

Analytics Engineer Resume Examples & Samples

In partnership with Product Owner and Scrum development team members, deliver analytics solutions, including collecting data from providers, building transformations and integrations, persisting within repositories, and distributing to consuming systems
Working primarily within AWS, deliver event-driven, data processing pipelines, and ensure data sets are captured, designed, and housed effectively (consistently, optimized for cost, ease of support and maintenance)
Transition Minimally Viable Product (MVP) solutions into operationally hardened systems, including introducing re-useable objects and patterns to drive automation, maintainability and supportability
Participate in backlog refinement and request decomposition, including data discovery and data analysis
Proactively identify, communicate, and resolve issues and risks that interfere with delivery commitments
Self-directed problem solving: research, self-learn, and collaborate with peers to drive technical solutions
Rapid response and cross-functional work to resolve technical, procedural, and operational issues
A minimum of 3 years of experience delivering analytics, reporting or business intelligence solutions
A minimum of 3 years of experience developing in big data technologies (AWS, Hadoop, NoSQL)
Proficient in SQL and at least one of these programming language: Java, Scala, Python
Experience designing event-driven, data processing pipelines
At ease developing data solutions leveraging both databases and file systems via CLI
Strong, hands-on technical skills and self-directed problem solving
Preferred: Experience developing in Spark (Spark Streaming, Dataframes, Datasets)
Preferred: Experience developing within AWS, especially EMR, Data Pipeline, Lambda, Athena, and Redshift
Desired: Experience in working on Agile teams (Scrum)
Desired: Experience with Mulesoft, SFDC Sales Cloud CRM, SFDC Wave Analytics
Desired: Experience with data modeling (normalization, slowly changing, star, data vault)
Desired: Experience with MPP databases (Teradata, Exadata, Netezza, Redshift)
Desired: Foundational understanding of LEAN software development

Analytics Engineer Intern Resume Examples & Samples

Participate in the definition of technical scope and objectives through research, requirements-gathering and definition of processes
Gather and process raw, structured, semi-structured, and unstructured data at-scale, including writing scripts and developing programmatic interfaces against web APIs
Assist in the design and development of optimized data transformation processes and analytics in the Hadoop ecosystem
Gain a working knowledge of and participate in problem solving/troubleshooting the assigned application integrations, functional areas and projects
Test and prototype new data integration tools, techniques and methodologies and produce appropriate artifacts to share knowledge gained
Collaborate with technology partners to understand enterprise requirements and develop or identify appropriate architecture patterns
Propose solutions for system quality attributes related to platform architecture (e.g. performance, availability, consistency)
Participate in platform and solution rationalization, while evaluating the evolution of current and emerging technologies
Pursuing Bachelor’s or advanced degree or equivalent industry experience
Experience working with and building REST APIs (JSON)
Experience with Amazon Web Services
Spark (Spark Streaming, Dataframes, Datasets)
Hadoop (Sqoop, Flume, HDFS, MapReduce, Solr)
NoSQL datastores (HBase, Cassandra, MongoDB, Redis, graph)
Databases (Oracle, Netezza, SQL Server, MySQL)

Digital Analytics Engineer Resume Examples & Samples

Setup and maintain Adobe Analytics and Adobe Target
Analyze data sets using appropriate statistical techniques and tools (e.g. R, Python), linking diverse sources where required
Creating data visualizations (e.g. using Tableau, Excel, PowerPoint), presenting findings and implications to stakeholder audience. Actively looking for ways to share insights with a broader internal audience
Apply knowledge of social science and ecommerce practices to create and refine UX metrics, user behavior models, and/or algorithms (including collaborating with other researchers to design research to augment quantitative results, identifying areas within products for instrumentation, etc.)
Collaborate with various stakeholders to turn quantitative insights into innovative solutions for future implementations
Experience with usability and accessibility
Work closely with various stakeholders (e.g. product, design, development) to identify measures to put in place to monitor experience quality in field
Be a customer advocate, with a familiarity of competitive experiences
Be on top of the latest industry trends, and communicate to the team
Bachelor’s degree in related field or 14 – 18 years equivalent work experience; Master’s degree preferred
8-12 years of relevant work experience or a Master’s degree and 6-10 years of experience
Proficient with Microsoft Office; Ability to adapt to ESI proprietary systems
Knowledge of the healthcare industry; experience in a Corporate setting (preferred)
Acute knowledge of the non-profit, philanthropic and educational landscape
Knowledge of Corporate Social Responsibility (CSR); Demonstrated experience interacting with community, cultural and civic organizations, governmental entities, and other key stakeholders
Proven ability to see projects through to completion, perform independently, work responsively; collaborate internally and externally
Proven ability to manage multiple simultaneous projects under tight deadlines ability to prioritize
Ability to design and implement strategies and communication plans around community programs to influence opinions, change behaviors, engage employees, and recruit the next generation workforce
Strong oral and written communications skills; the talent to speak in public and make effective group presentations
Demonstrated professional experience and notable achievements in the areas listed above
Experience managing partnerships with non-profit agencies, educational institutions and civic institutions
Highly-skilled project management and strategy development skills
Ability to balance and prioritize multiple projects with thorough follow-through and outcome measurement
LI-PS1

Systems Analytics Engineer Resume Examples & Samples

Strong statistical analysis skills, preferably experience with R, Python or MATLAB
Experience with data mining / big data analysis and data visualization
Strong coding skills, preferably in C/C++/Objective C/Java
Experience in software design/development
Excellent spoken and written communication skills

Analytics Engineer for Power Plant Components Resume Examples & Samples

Bachelor in Science in Mechanical Engineer
Strong Knowledge mechanical component failure modes
Engineering modeling software
Life data analyses
Experience on Power Plant component (turbine, boilers, steam, generator) failure modes
Experience in power plant operations and maintenance
Capable to conduct plant reliability assessments
Experience on engineering programming (JMP, Phyton, R, Predix, MathLab)

Analytics Engineer Resume Examples & Samples

Identify opportunities and create new detection algorithms based on SCADA and vibration data to reduce turbine downtime & prevent component failures
Solve complex technical problems through employing statistical and analytical models to enable productivity, profitability, and growth
Develop advanced analysis algorithms using sensor and turbine performance data to find patterns and relationships governing the condition of wind turbine components
Support the Reliability Engineering Team during RCA programs to identify data signatures for known failures
Work with a cross-function team in complex analytics projects from idea generation to prototype development
Work closely with the Systems and Controls teams to integrate analytics into existing system platforms and identify gaps and alternative solutions as needed
Effectively manage timelines to drive completion of programs supporting new diagnostic capabilities
Work with cross-functional teams to ensure successful operation of the APM application and analytics running on the GE fleet
Work with Fleet Performance and Reliability Engineer teams to assist in troubleshooting, issue detection, and software/hardware retrofit validation using available data sources
Support the business in driving field metrics, providing training and technical support of APM diagnostics
Support Field Service Directors, Customer Relationship Managers, and Reliability Engineers with advanced diagnostic support during customer visits
Develop processes and tools that predict deterioration and remaining useful life of wind and hydro turbine components
Bachelor’s Degree in data science, electrical, computer, mechanical, aerospace, or industrial engineering from an accredited university or college
Minimum of 1+ years of professional technical experience and software development experience in Java, Python, JavaScript, Python and Matlab languages
Strong knowledge of SQL and retrieving data from relational database systems
Must be willing to work out of an office located in Schenectady, NY
Strong technical analysis skills (ability to understand physics based models and perform data analysis)
Software development background (Java, Python, JavaScript)
Basic understanding of Python and Matlab languages
Ability to efficiently plan and coordinate tasks between multiple groups
Strong quality awareness and ability to identify future failures, defects and problems
Ability to work with multicultural teams, strong team player
Ability to work within structured work methods
High flexibility and motivation
Previous experience working with large data sets using big data technologies including Greenplum or other MPP database systems
Previous experience with advanced SQL programming including DML and DDL
Superior analytical skills, with strong desire to improve processes and performance
Distinctive ability to analyze technical processes
Strong communication and project leadership skills with ability to clearly communicate issues and resolution to both a technical and non-technical audience

Analytics Engineer Resume Examples & Samples

Bachelor's Degree in Computer Science, Information Systems or HS Diploma/GED with 5+ Years of IT experience or equivalent military experience/training
3+ Years’ experience in metrics analysis
Knowledge of SLA, SLO, VOC, NPS and other metrics and KPI for end user support services
Experience with SQL, PL/SQL
Familiar with Tableau, Sisense, Domo, and any other Business Intelligence software/platform, and visualization layer
Ability to work both autonomously and in constant collaboration with product owners, operations, and end users
Ability to clearly communicate data through both verbal and written communications such as presentations, dashboards, and email updates
Excellent organizational, interpersonal and written communication skills are a must
Able to successfully interact with all levels of the organization
Experience in analytical understanding of operational metrics related to support management
Strong work ethic & desire to learn
Experience working in a global atmosphere
Knowledge and experience with ServiceNow
Demonstrated ability to drive results in a dynamic and fast pace environment
Drives change initiatives & strategies

Principal Analytics Engineer Resume Examples & Samples

GE - APM: https://www.youtube.com/watch?
GE is an equal opportunity Employer : https://www.youtube.com/watch?v=Co0qkWRqTdM
Master in Mechanical, Aerospace, Electrical or related Engineering field
Minimum work experience of 20 years
PhD in Mechanical, Aerospace, Electrical or related Engineering field
Solid understanding and expertise in developing physics/chemical/process based prognostics models for O&G industries

Test Analytics Engineer Resume Examples & Samples

Develop breakthrough Data Analytics Methods and Solutions using Big Data solutions to drive predictive analytics, statistical inference and machine learning applications as applied to quality and cost improvement. Mentor data analytics team in implementing new and innovative algorithms
Define, develop and execute test analytics and automation solutions to drive improvements in cost and quality in both final test and wafer test environments
Coordinate with internal and external IT, Product Engineering, Test Engineering and Operations teams towards improving the quality of test and cost of test
Develop algorithms to drive improvements in test methodologies and production methods to support resolution of technology issues

Analytics Engineer Resume Examples & Samples

2+ years of working with and/or develop for 1 or more enterprise application architectures (J2EE, .NET)
Proficiency with at least 2 Web Analytics platforms (NetInsight, CoreMetrics, Omniture, WebTrends, Google Analytics)
Strong SQL querying and database skills. Familiarity with 1 or more of database technologies (Oracle, DB2, Postgres, MySQL , SQL Server)
Proficient with HTTP protocol and related web and application servers (Tomcat, Apache, iPlanet, WebSphere)
Solid knowledge of at least 1 enterprise development language (Java, C#)
2 or more years of experience in information systems with emphasis on online application systems design and implementation
At least 1 years of systems and development experience with multiplatform environments including Linux/Unix with shell and Perl scripting
Strong client side programming skills including JavaScript and related frameworks and experience with analytics page tagging (JQuery, DOJO)
Familiarity with at least 1 middleware/integration framework (Talend Data Integration)
1 or more years with Tag Management system such as Tealium
Knowledge of website SEO, Social Media, and mobile device platform technologies
Technical understanding of large collaboration platforms and related APIs (WebSphere Portal, SharePoint)
2 or more years of experience writing requirements docs and technical docs including Visio workflow, and UML
1 or more years of experience with enterprise BI tools (Cognos, MicroStrategy)

Analytics Engineer Resume Examples & Samples

To analyse and judge the documentation received (estimations, specifications, standards, UI prototypes, UML diagrams, scenarios, user stories, use cases …)
To gather additional information from the various internal and/or external parties according to personal insight and need
To carry out studies to determine whether architectural changes are needed
To implement the design, requests, reports, data sets as per specification
To write unit tests or design test reports/queries where necessary
To watch over the agreed implementation time, and where necessary consult with the team lead to take actions or to adjust the predefined planning
To consult with the team lead in case of problems due to misinterpretations or external factors
To follow-up on personal creations through alterations or corrections
To create documentation that can be used for testing, demos and training
To offer support during testing and delivery
To offer support to production and to suppliers during the start-up of new series
Contribute to the improvement of the system architecture and the internal development process
Close interaction with R&D on design of ETL logic
Provide third line support on Analytics and Microstrategy related issues
Keep up to speed with latest evolutions in Microstrategy releases to see if new features could be beneficial
You turn the provided specifications into the software design you consider best and you hold the responsibility for it
It falls within your responsibility to carry out tests and to choose a way of implementing the software design and you have a certain amount of freedom to do so
In case of changes to the provided specifications, the predefined planning or the budget, you first consult before making changes to the activities or taking special measures
You have contact with the team lead(s) regarding the functionality, the planning and the priority setting of the design
You have contact with colleagues of your own and other departments regarding the design functionality
You have contact with suppliers to gather information and to plan the delivery of their goods
As an employee you have the responsibility and authority to take decisions related to your job description. In case of doubt consult your superior or a colleague with an equivalent function
Qualification: Bachelor/ Master in computer sciences, electronics, ITC or others
Sound oral and written knowledge of one foreign language (preferred English)
Basic oral and written knowledge of one additional foreign language
Sound knowledge of software development (process, methodology, …)
Sound knowledge of the programming languages to be used and of the development environment
BI knowledge is a plus but not a hard requirement
Ability to work independently ; problem solving mentality

Senior Quality Analytics Engineer Resume Examples & Samples

Bachelor's Degree in Engineering, Chemistry, Biology or related science/technical field or an equivalent combination of education and work experience
Auditor certification from an industry recognized organization desired
Hands-on knowledge of computer applications including use of the Internet, Word and Excel applications and presentation software such as Power Point
Works well in a team-oriented, cross-functional environment
Ability to handle multiple tasks and operate in a fast-paced environment
3-5 years’ experience in an FDA regulated industry (Biotech, Pharma or Medical Device manufacturing)8968170428

Advanced Analytics Engineer Resume Examples & Samples

Involved in technology development from concept initiation through commercialization, and be expected to work closely with the Business Organizations globally
Actively participate in the technical development, and lead the project execution which, in some cases, will involve multidisciplinary teams
Stay abreast of new technology developments in their field of expertise, and actively contribute ideas for new programs
Support new application development as well as maintaining and improving existing applications

Analytics Engineer Resume Examples & Samples

Develop technical design specifications and validate approach during internal reviews
Hands on development of Salesforce Wave dataflows and dashboards
Work on ETL tools like Dell Boomi for data ingestion
Perform unit testing and system integration testing in development environment
Coordinate and validate code movement between DEV and STAGE with admin team so
Integration and knowledge transfer with the support organization
Good to have knowledge of Tableau, not mandatory
Bachelor’s degree in IT or IT-related field and 0-2 years of data warehouse, SQL, ETL & reporting technical experience
Prior role developing/managing/working with ETL/reporting tools, scripts, and techniques
Located Bangalore, India
Experience in Salesforce Wave
Experience in oracle and should be adept with Data Warehouse concepts
Experience using BI tools e.g. Informatica, Business Objects & Tableau
Experience working with SQL & PL SQL
Knowledge of working in an iterative manner (in the spirit of Agile/SCRUM methodologies)
Willingness to learn technical concepts and drive efficiency within team
Ability to balance multiple project teams, stakeholders, and priorities and to communicate with stakeholders where there are conflicts
Experience working with business partners and balancing relationship with internal IT providers
Knowledge of working with Cloud concepts, including data privacy risks
Demonstrated awareness of how to function in a team setting
Distills information down to key points
Expresses the information clearly and concisely. Projects knowledge of relevant data
Demonstrated awareness of how to leverage curiosity and creativity to drive business impact
Asks follow-up questions when presented with new data/projects. Sees the broader implications of an idea
Presents new ideas and concepts. Makes connections among previously unrelated ideas
Deep passion for learning

Lead Analytics Engineer for Power Plant Components Resume Examples & Samples

Execute the engineering development strategy of Reliability Centered Maintenance for Asset Performance Management, which includes leveraging multiple MVPs for specific customers
Quantify capability of existing components of APM and identify gaps / guidance for future development
Support development of Approval to Apply (ATA) documentation to be used in Multi-Year Service Agreement offerings / customer outcomes
Enable plant level reliability and availability forecasting with RAM Deck
Prepare and consult on baseline assessments of a plant's reliability and availability
Apply current and future product benefits into a concise narrative for the customer
Visit customer sites as needed to assist sales in presenting a technical solution
Visit customer sites as needed to conduct plant reliability assessments
Perform plant level criticality analyses for reliability centered maintenance
Provide domain expertise to support customer meetings and/or collaborative efforts as required
Execute work in accordance with the GE Power Services Engineering design practices and quality procedures
Work closely with the global PRO Engineering team to grow organizational expertise / depth and deliver on commitments
Bachelor in Science in Mechanical Engineer. with BSc. and at least 6 years of relevant experience, MSc and at least 4 years of relevant experience or PhD and at least 2 yrs of relevant experience in the field
Knowledge on fundamentals of stochastic modeling
Experience on Physical phenomena modeling
Effective written and oral communication skills in English and Spanish
MSc in Statistical Analysis (Maths)
Msc in Metallurgic or Mechanical design

Analytics Engineer Resume Examples & Samples

Working directly with business stakeholders to understand their requirements and enable them to derive insights from available data sources
Implementing and maintaining a set of mission critical KPI’s for the business
Providing global support for our self-service data exploration platform
Building reference data models and best practices for dashboard and report creation
Being an internal analytics consultant / evangelist

Analytics Engineer Resume Examples & Samples

Shows Initiative and self-confidence, is adaptable and is able to cope with changing and evolving priorities
Must have the ability to work methodically in a fast-paced, time-sensitive environment
Simulation model design and development (discrete event, agent based and system dynamics
Data science
Data acquisition
Data analysis and modelling
Decision support
Data mining
Predictive analytics
Statistics
Text analytics
Operations analytics
Demonstrated proficiency with analytical software and languages (for example R, Matlab, Anylogic, SAS, JMP) to develop prototype and production solutions
Experience with Big Data Analytics and software development skills in C, C++, C# or Java will be advantageous
Understanding of Agile methodologies (preferably Scrum), UML, Object Orientated, Data Modeling, Process Modeling and/or other development methodologies

IoT Analytics Engineer Resume Examples & Samples

Design and implement analytical solutions using third-party and in-house reporting tools, modeling metadata, building reports and dashboards
Develop cutting edge cloud analytic applications using the latest analytic tools and platforms offered by AWS and Azure
Work with product management in understanding the business requirements and implement solutions to support analytical and reporting needs of customers
Develop and integrate analytic solutions to transform sensor data to actionable information
Design and implement reporting solutions to enable customers to make optimal decisions
Conduct ad-hoc data analysis and data quality investigations
Help Improve upon the data ingestion models, ETLs, and alarming to maintain data integrity and data availability
Bachelor’s degree in a science, mathematics or engineering discipline from an accredited institution
Must be able to work in the United States without corporate sponsorship now and within the future
No relocation benefit is being offered for this position. Only candidates within a 50 mile radius of work location will be considered
Minimum 1 year of experience working with one or more cloud platforms like Azure, AWS, etc.
Minimum 3 years of experience in delivering data organizing and storage solutions in traditional and Big Data environment
Minimum 1 year of experience in scripting SQL, python, etc
Experience in one or more BI reporting and data visualization tools like Tableau, Microstrategy, QlikView, Microsoft Power BI, etc
Master’s Degree in Engineering from an accredited institution
Experience with controls automation
Experience with R, SAS BI, Cognos, OBIEE,
Experience with Spark, Storm, Kafka, or Hadoop
Proven track record of successfully designing, reviewing and delivering engineering systems

Analytics Engineer Resume Examples & Samples

Uses best practices to develop statistical and machine learning techniques to address business needs
Uses and learns a wide variety of tools including R, Python, Scala and any other future analytic systems or languages
Researches and evaluates new tools and technologies to solve business problems
Responsible for designing and building new Big Data applications for analyzing data into actionable insights
Responsible for development of advanced analytics solutions and integrating new tools to improve descriptive, predictive and prescriptive analytics
Translates business concepts to technical implementations to drive alignment and decision making
Work on an geographically dispersed team embracing Agile and DevOps strategies for themselves and others while driving adoption to enable greater technology and business value
Participate in strategic planning discussions with technical and non-technical partners
Mentors others and continually develops themselves
Degree in Scientific or Quantitative field such as mathematics, computer science, or biology
1-2 years experience using statistical modeling or machine learning to build models that drive decisions
Experience in R, Python and/or Scala experience
Experience managing and manipulating large datasets
Experience developing large-scale distributed applications in Spark, Hadoop, Hive, and/or Impala
Familiarity and comfort with participating in a high-performing geographically dispersed team
Familiarity with source control solutions (ex git, GitHub)
Open to new ideas and technologies with a strong desire to learn
Ability to analyze and solve problems in a creative and innovative fashion
Ability to research and document project design, approach and architecture
Ability to engage subject matter experts and translate business goals into actionable solutions
Ability to work effectively with business and technical teams
Ability to identify and drive aligned technical direction with all stakeholders
Ability to meet deadlines, goals and objectives
Works collaboratively with multiple areas and comfortable leading projects and mentoring others

Cost Analytics Engineer Resume Examples & Samples

Successful candidate will be able to identify components (resistors, capacitors, integrated circuits) by their appearance, by their written electrical performance characteristics (microfarads, ohms, AND Gate,) and ideally by manufacturing process (SMT, Through-hole, Post-Wave.)Experience with Lean manufacturing and effects of manufacturing costs that are driven by product design
Format and prepare Request for Quote (RFQ) cost discovery documentation (SCBS sheets) for new projects. Generate product cost models using supplier cost data resulting from the RFQ process
Format and load supplier cost data into Electrical Cost Tool (ECT) cost tool
Use ECT component cost tool to associate and link equivalent components from multiple suppliers
Interface with engineering team to obtain documentation sufficient to develop material and labor cost models
Update previously developed cost models to reflect periodic changes in material and production costs
Maintain accurate control of all costing documentation. Determine if cost models require updating based upon product revision changes
Generate cost modeling data and reports from ECT cost tool. Combine results using McKinsey Cleansheet program
Generate initial cost model for determination of further cost analysis efforts
Ensure routine backups of costing documentation are performed using COE SharePoint
Complete other duties and tasks as required
Support Design To Value(DTV) and Value Analysis, Value Engineering (VAVE)
College Degree is Required in Electrical, Manufacturing or Mechanical Engineering or equivalent
3 year minimum experience in engineering support roles
Experience with electronic components and assemblies is a requirement of the position
Cost Estimation Knowledge - Knowledgeable of typical sources and costs for common components
Ability to work with multiple sources of data and assumptions, generate effective scenario and sensitivity analysis to test and refine estimates
Knowledge in source of Supply and potential suppliers
Ability to challenge the status quo costing and work with sourcing team to bridge gaps and search for opportunities
Advanced experience in Microsoft Excel (macro, pivots, etc) and Microsoft Access
Experience in CAD (3D Models)
Must be able to read and interpret assembly drawings, bills of material, and assembly specifications to identify cost elements and develop costing models
Must have good verbal and written communication skills

Digital Analytics Engineer Resume Examples & Samples

This individual is responsible for the solutioning and execution of our digital analytics products
This position is responsible for overseeing analytics tagging engagements associated with the Adobe Analytics Cloud to ensure application development teams, and their business partners, obtain the information required to deliver all digital tracking solutions for Interactive and Mobile
Responsible for the technical direction, implementation, and validation of Adobe Analytics technical solutions, providing technological expertise, leveraging business and technical knowledge to deliver key strategies and business value
The candidate plays an integral role in building and enhancing the infrastructure required to support the interactive tracking platform in terms of robustness, scalability, availability and efficiency
Has responsibility for ensuring that all development and production solutions meet the specifications in terms of business requirements, application design, and infrastructure requirements through coaching, mentoring and detailed testing
Works with the Project Managers and Technical Leads to identify technical solutions and business process improvements in support of the business and IT strategic direction
Ensures that the technical design documentation is completed to a high standard and complies with industry standards
Creates and reviews estimates for SiteCatalyst implementations and delivery to ensure quality and accuracy
Manages (monitors and addresses) third-party work in terms of quality and adherence to standards
Ensure accurate user and access information is documented for the platform/application supported
Provide hierarchical thought leadership on new digital data suites and strategic initiatives that influence the technical investment of the platform
Has a comprehensive knowledge of the development project life cycle, and the ability to interface effectively with various technology and business partners, using both traditional waterfall and agile methodologies
Provides standard and complex tag level expertise to development teams working from various locations on application development processes, technical architecture, and systems integration
Works with project managers and business systems analysts to define product development tasks and estimates, proactively identify and resolve issues, and provide status
Performs research and development to evaluate emerging technologies and their potential to optimize the platform
Provides guidance on capacity planning and data tuning
Provides in-depth consulting on design of development projects
Provides guidance and support on production issues as needed
Responsible for ensuring compliance with standards of tracking and data capture
Extensive digital analytics experience (4+ years and preference for Adobe / Omniture / SiteCatalyst/DTM) including configuration and optimization experience, Requires deep knowledge of web page delivery, page construction and performance related designs to optimize content delivery
Must Have Adobe Marketing Cloud experience including Analytics, Site Catalyst, AD Hoc Analysis (Discover), Audience Manager, Test and Target, Visitor ID Service, DTM, Bloodhound, SAINT Classifications, and Digital Pulse Debugger
Requires advanced knowledge and understanding of Web Server performance, Page Designs and Patterns, applications systems design, and integration with a detailed understanding of applicable programming methodologies used in digital content delivery
Demonstrated expertise in key aspects of web page design including, search engine optimization strategies, Javascript, HTML 5, Rich Media, browser variations, and other leading edge concepts in developing world class user experiences
Demonstrated expertise to identify new and evolving web page design concepts and lead the business through key decisions and designs
2+ years experience in Rich Internet Applications, especially using JavaScript frameworks like jQuery and Prototype
Nice to have working knowledge of industry standards for information security
Nice to have is web software development background with technologies such as Java, iOS, PHP, Objective-C, .NET
The successful candidate should also demonstrate leadership behaviors, especially in the following areas: Drive Results, Focus on the Customer and Client, Communicate Effectively, Drive Innovation and Change, and Develop Winning Strategies

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