Engineering Data Analyst

World Link is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting‑edge digital technologies to create value and grow.

Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like  embrace a culture of experimentation and constantly strive for improvement and learning.

We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We’re grounded by humility and driven by ambition. We’re passionate, and we love tough problems and new challenges. You don’t hear a lot of "I don’t know how" or "I can’t"  you are passionate about what you do and having fun while doing it;

tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, World Link may be the place for you.

For more information about our craft, visit (Use the "Apply for this Job" box below)..

We are looking for a Engineering Data Analyst who will be responsible for supporting the Core Engineering organization. In 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 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.

• 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.

• 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.

• 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.

• 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.

• Deliver weekly/monthly reports to engineering leadership.
• Translate complex data findings into clear, actionable recommendations.
• Support quarterly business reviews with relevant engineering metrics.

• 3-5 years of experience in data analytics, business intelligence, or a related field.
• Bachelors Degree or higher in an applicable field.
• 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).

• Self‑motivated individual with the ability to thrive in a team‑based or independent environment.
• Detail‑oriented with strong organization skills.
• Ability to work in a fast‑paced environment.
• Limited supervision and the exercise of discretion.
• Strong SQL skills with experience querying complex, multi‑source datasets.
• Ability to work independently and manage multiple priorities.
• Excellent communication skills—can translate data into clear insights for technical and non‑technical audiences.

• Experience with Looker (LookML knowledge a plus).
• Experience…