Engineering Data Analyst Job Mountain View area,California USA,IT/Tech

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!

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…