Senior Data Analyst - Engineering Analytics (Power BI | Tableau | Jira | GitLab)

Senior Data Analyst

India Wind River/Aptiv location

Wind River

In a world increasingly driven by software innovation, Wind River is pioneering the technologies to accelerate the digital transformations of our customers with a new generation of Mission Critical AI Systems, with the most exacting standards for safety, security, performance, and reliability. Success will be determined by our ability to innovate with velocity and deliver at the solutions level.

Wind River’s impact spans critical infrastructure domains such as , including 5G; (automation, sustainable energy, robotics, mining), connected devices, (connected and self-driving vehicles), and . We were recognized by VDC Research in July 2020 as , overtaking Microsoft as the overall commercial leader. Wind River regularly for excellence in IoT security, cloud and edge computing, as well as 8 consecutive years as a “Top Workplace”. If you’re passionate about amplifying your impact on the world, in a , come join us and help lead the way into the future of the intelligent edge!

ABOUT THE OPPORTUNITY

As a Data Analyst, you will have the opportunity to work with Wind River’s Engineering and Product Management teams on a broad range of products, and initiatives that will directly impact our company’s velocity, agility, and market penetration. This role plays a pivotal role in using data to drive insights into Wind Rivers development processes and identifying key areas for improvement..

Who You Will Work With

• The successful candidate will work with Engineering Program Managers and key development resources. This includes supporting existing in-flight programs and driving new initiatives.
• This position will report to the Director of Engineering Program Management.


Responsibilities


• Develop a deep understanding of Wind Rivers development process, tools and available data sources, interfaces and APIs.
• Create management dashboards by analyzing data and deliver business insights for cross-functional team leaders.
• Derive actionable insights from complex data and present findings to stakeholders
• Create tools, processes, mechanisms, and automation that reduce the burden on our data stack as well as meeting requirements from stakeholders.

ABOUT YOU

Core Competencies & Demonstrated Success


• You have excellent verbal and written communication skills
• You have demonstrated success working within a matrix organizational structure
• You have strong data storytelling skills—able to turn raw data into meaningful insights for engineering leadership.

Qualifications


Technical Skills

• #EXP(7-12) Years
• Strong proficiency in Tableau for building interactive dashboards, drill‑downs, KPI views, and automated reporting.
• Experience with other BI/analytics tools (e.g., Power BI, Looker, QuickSight) is a plus.
• Hands-on experience extracting and transforming data from GitLab (pipelines, commits, merge requests, issues) and Jira (sprints, epics, story status, velocity).
• Solid understanding of SQL (required) for data modeling, transformations, and performance optimization.
• Familiarity with Python or R for data manipulation, automation, and integration tasks.
• Ability to design and maintain data models, including star/snowflake schemas used for KPI reporting.
• Experience working with APIs (especially GitLab & Jira REST APIs) and handling JSON data structures.
• Comfortable working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) if applicable.

Software Development Metrics Knowledge

• Strong understanding of SDLC processes and common engineering KPIs:Velocity, throughput, cycle time, lead timeDeployment frequency, change failure rate, MTTRBug backlog, defect density, escaped defectsSprint predictability, commitment vs. completion
• Familiarity with Agile/Scrum workflows and how to interpret Agile metrics.
• Ability to translate engineering workflows into quantitative dashboards that provide actionable insights.

Business & Communication Skills

• Demonstrated ability to collaborate with Engineering, Product, and DevOps teams.
• Skilled at gathering requirements, translating them into dashboard specifications, and iterating based on feedback.
• Ability to present data clearly to both technical and non‑technical stakeholders.
• Strong organizational skills with attention to detail and accuracy.

Preferred Experience

• Experience supporting Engineering, DevOps, or Product organizations.
• Prior work building dashboards for CI/CD, Agile performance, or engineering productivity.
• Exposure to Tableau Server/Cloud administration (permissions, data sources, scheduling) is a plus.
• Knowledge of Git workflows and modern DevOps tooling.