Data Analyst

Payrate : $ - $

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 comprehensive engineering

intelligence platform spanning delivery metrics, quality indicators, and team health analytics across our global development centers.

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

Engineering Metrics & Dashboards Design, build, and maintain dashboards for sprint speed, cycle time, release frequency, and deployment success

Create automated reporting pipelines using Python to reduce manual data gathering

Establish standardized metrics definitions across Bangalore, and Warsaw teams

Quality Analytics 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 defining quality benchmarks and improving targets

Team Health & Capacity Planning 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

Data Integration & Automation 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

Stakeholder Communication Deliver weekly / monthly reports to engineering leadership

Translate complex data findings into clear, actionable recommendations

Support quarterly business reviews with relevant engineering metrics

Qualifications :

• 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
• 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 timezones
• Background in ad tech, media, or high-growth technology companies
• Available for occasional overlap calls with Bangalore (morning) and Warsaw (afternoon) teams
• Full-time availability ( hours / week) for + month engagement