Data Analyst

Payrate: $60.00 - $62.00/hr. 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: • 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 • 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 (40 hours/week) for 6+ month engagement Pay Transparency: The typical base pay for this role across the U.S. is: $60.00 - $62.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, denmatch, lifeion benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 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