Über
Responsibilities: 1. Engineering Metrics & Dashboards
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 2. 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 define quality benchmarks and improvement targets 3. 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 4. 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 5. 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
Required Skills, Experiences, Education and Competencies:
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 timezones Background in ad tech, media, or high-growth technology companies
The hourly range for roles of this nature are $40.00 to $70.00/hr. Rates are heavily dependent on skills, experience, location, and industry.
cyberThink is an Equal Opportunity Employer.
Sprachkenntnisse
- English
Hinweis für Nutzer
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