Engineering Data Analyst

• Build and maintain dashboards for sprint velocity, cycle time, release frequency, and deployment success
• Automate reporting pipelines using Python
• Establish standardized engineering metrics across global teams
• Track and analyze quality metrics (bug rates, test coverage, incidents, technical debt)
• Develop capacity planning and utilization dashboards
• Analyze hiring pipeline and attrition data for workforce planning
• Integrate data from JIRA, Workday, Git, and CI/CD tools
• Design and maintain large?scale ETL processes
• Deliver weekly/monthly reports and support quarterly business reviews
• Translate complex data into clear, actionable insights

• Bachelor's degree or higher in a technical or related field
• 3-5 years of experience in data analytics or business intelligence
• Strong SQL (complex, multi?source datasets)
• Python or R for data analysis and automation
• BI tools: Tableau, Power BI, or similar
• Experience with engineering tools/workflows (JIRA, Git, CI/CD)
• Ability to work independently in a fast?paced environment
• Strong written and verbal communication skills

Preferred

• Looker / LookML experience
• Engineering metrics (velocity, cycle time, DORA)
• HR/people analytics exposure
• dbt, Airflow, or similar pipeline tools
• Experience working with global, distributed teams