Data Analyst 3

Job Title: Engineering Data Analyst
Duration (Contract): 6 Months
Client Location: Mountain View CA 94043

Location Preference: Onsite

Job Description:

As a Data Analyst you will support the Core Engineering 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:

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
  • Analyse 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:

• Bachelors degree in a technical field such as computer science computer engineering or related field required.
  • 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)
• Process certification such as Six Sigma CBPP BPM ISO 20000 ITIL CMMI.
  • 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 $80.00/hr. Rates are heavily dependent on skills experience location and industry.

cyberThink is an Equal Opportunity Employer.