New

Engineering Data Analyst

Staffmark Group
$69.00-$69.00
paid time off, paid holidays, 401(k)
United States, California, Mountain View
May 05, 2026
Staffmark Workforce Solutions offers this exciting contract opportunity at a global leader in electronics, mobile devices, and appliances, located inMountain View, CA. Engineering Data Analyst Top Skills: SQL with querying complex, multi-source datasets Python or R proficiency BI/Visualization tools (Tableau, Power BI, etc.) Engineering workflow and tools (JIRA, Git, CI/CD) Summary: We are seeking a Data Analyst contractor to support the Core Engineering organization. In this embedded role, you will partner directly with engineering leadership to build and maintain a comprehensive engineering intelligence platform spanning delivery metrics, quality indicators, and team health analytics across our global development centers in the US, Bangalore, and Warsaw. The ideal candidate combines strong technical skills (SQL, Python, Looker) with analytical rigor and clear communication. You will work across multiple data sources-including JIRA, HR systems, Git, and CI/CD pipelines-to surface actionable insights that drive operational decisions and team effectiveness. Responsibilities: Design, build, and maintain dashboards for sprint velocity, cycle time, release frequency, and deployment success Create automated reporting pipelines using Python to reduce manual data gathering Establish standardized metrics definitions across US, Bangalore, and Warsaw teams Track and visualize bug rates, test coverage, incident response times, and technical debt trends Build early warning systems to identify quality issues before they impact delivery Partner with engineering leads to define quality benchmarks and improvement targets Develop capacity planning models and utilization dashboards Analyze hiring pipeline data to support workforce planning decisions Monitor attrition patterns and provide insights to support retention efforts Connect and normalize data from JIRA, HR systems (Workday), Git repositories, and CI/CD tools Build reliable ETL processes to ensure data freshness and accuracy Document data sources, transformations, and metric calculations Deliver weekly/monthly reports to engineering leadership Translate complex data findings into clear, actionable recommendations Support quarterly business reviews with relevant engineering metrics Requirements: 3-5 years of experience in data analytics, business intelligence, or a related field Strong SQL skills with experience querying complex, multi-source datasets Proficiency in Python or R for data manipulation, analysis, and automation Hands-on experience with BI/visualization tools (Tableau, Power BI, or similar) Familiarity with engineering workflows and tools (JIRA, Git, CI/CD concepts) Ability to work independently and manage multiple priorities in a fast-paced environment Excellent communication skills-can translate data into clear insights for technical and non-technical audiences (Preferred) Experience with Looker (LookML knowledge a plus) Experience with engineering metrics (velocity, cycle time, DORA metrics) Exposure to HR/people analytics (capacity planning, attrition analysis) Familiarity with data pipeline tools (dbt, Airflow, or similar) Experience working with distributed/global teams across multiple time zones Background in ad tech, media, or high-growth technology companies Available for occasional overlap calls with Bangalore (morning) and Warsaw (afternoon) teams Preferred Qualifications: Operational Excellence - Systematic approach to problem-solving; attention to detail and data accuracy Self-Direction - Proactively identifies gaps and opportunities without waiting to be asked Global Mindset - Comfortable collaborating asynchronously with distributed teams across time zones Clear Communication - Explains complex analysis simply; writes documentation that others can follow Continuous Improvement - Iterates on dashboards and processes based on user feedback Staffmark talent working with this client receive competitive compensation and a great benefits package, including medical, dental, vision, 401K, paid time off, and more! The base pay range listed reflects what we reasonably expect to offer for this role. Actual pay may vary based on location, experience, and performance. Depending on the position, benefits may include medical, dental, and vision coverage; retirement and savings plans; paid holidays and time off; supplemental insurance; and additional wellness or incentive programs. About Us At Staffmark, we connect hardworking people with great companies, creating opportunities that make a lasting impact. Staffmark is an equal opportunity employer. Allapplicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other legally protected status. Staffmark offers reasonable accommodations for qualified individuals with disabilities; contact your local branch for inquiries. Staffmark is an E-Verify employer. 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