Engineering Data Analyst

Staffmark Workforce Solutions offers this exciting contract opportunity at a global leader in electronics, mobile devices, and appliances, located in Mountain 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!