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AI Central - Measurement and Reporting Engineer @ Zensar

IndiaOnsiteFull-timeJob reference 151507
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About this role

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status. SQL, Python for data pipelines, and a reporting layer — Power BI preferred • GitHub data extraction via REST and GraphQL APIs: pull-request lifecycle, review events, Actions run telemetry. Must be able to derive merge rate, review cycle time and reviewer effort per pull request. • ServiceNow reporting and data extraction, specifically the Vulnerability Response module and Application Vulnerable Item records; ServiceNow Table and REST APIs. • Jira extraction and defect metrics at product grain. • Engineering-metrics literacy (DORA or equivalent) and the judgment to distinguish an activity count from an outcome. • Able to build an attribution model that records how a finding was closed — by agent, by tooling, or manually. Nice To Have Planview or comparable resource/time systems. • GitHub Copilot usage and telemetry APIs. • Dimensional data modeling. • Experience instrumenting a program that was under scrutiny, where the numbers were contested.

SQL, Python for data pipelines, and a reporting layer — Power BI preferred • GitHub data extraction via REST and GraphQL APIs: pull-request lifecycle, review events, Actions run telemetry. Must be able to derive merge rate, review cycle time and reviewer effort per pull request. • ServiceNow reporting and data extraction, specifically the Vulnerability Response module and Application Vulnerable Item records; ServiceNow Table and REST APIs. • Jira extraction and defect metrics at product grain. • Engineering-metrics literacy (DORA or equivalent) and the judgment to distinguish an activity count from an outcome. • Able to build an attribution model that records how a finding was closed — by agent, by tooling, or manually.

Nice To Have Planview or comparable resource/time systems. • GitHub Copilot usage and telemetry APIs. • Dimensional data modeling. • Experience instrumenting a program that was under scrutiny, where the numbers were contested.

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