Engineering Data Analyst
Listed on 2026-02-15
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IT/Tech
Data Science Manager, Data Analyst, Data Engineer, Business Systems/ Tech Analyst
Job Title
Engineering Data Analyst
LocationMountain View, CA
Pay Rate Range69.00- 69.00/hr
Top SkillsWe are seeking an Engineering Data Analyst 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.
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 the 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
- 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
- Flexible availability for overseas calls
- 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
- 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 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, and Paid Time Off, plus more!
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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.
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