Sr. People Insights Analyst

About Coursera

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 197 million registered learners as of December 31, 2025.

Coursera partners with over 375 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including generative AI-powered features like Coach, Role Play, and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning.

Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp

Why Join Us

At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter. 

We’re a globally distributed team and let you choose the best way you work, whether it's from home, a Coursera hub, or a co-working space near you. Our virtual hiring and onboarding make it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, scale unique products exclusive to Coursera, and expand your career horizons, apply below.

As a Senior People Insights Analyst at Coursera, you will play a pivotal role within our People Technology & Analytics team, empowering data-driven decisions that significantly enhance employee experience and business outcomes. You will be instrumental in delivering actionable insights across the entire employee lifecycle, guiding leaders in making informed choices regarding engagement, retention, hiring, and strategic workforce planning.

This highly hands-on role involves close collaboration with stakeholders across the People, Data, and broader business teams. You will be responsible for analyzing complex workforce data, developing scalable analytics solutions, and translating intricate insights into clear, impactful recommendations, with increasing ownership over critical analyses and reporting functions.

Job Location - DelhiNCR

Responsibilities

• Drive in-depth analysis of workforce data to identify trends, risks, and opportunities across engagement, retention, recruiting, performance, and workforce planning.
• Build and maintain robust dashboards and reports using business intelligence tools such as Sigma or Tableau.
• Develop and optimize SQL queries to efficiently extract, transform, and analyze People data from various sources.
• Collaborate closely with People Technology and Data teams to support the development of scalable, governed data models and pipelines, including platforms like Databricks.
• Translate complex business questions into structured analytical approaches and deliver clear, actionable insights and recommendations to diverse audiences.
• Own the development of executive-ready materials that effectively communicate insights, trade-offs, and strategic recommendations to senior leadership.

Qualifications

Basic qualifications

• 3+ years of experience in People Analytics, HR Analytics, or a related analytical role.
• Experience with SQL and cloud data platforms (e.g., Databricks, Snowflake).
• Experience building dashboards using business intelligence tools such as Sigma or Tableau.
• Experience working with HR systems, including Workday.
• Experience with core People data domains (e.g., recruiting, retention, engagement, performance).

Preferred qualifications

• Bachelor’s degree in a quantitative or analytical field (e.g., Economics, Statistics, Computer Science, I/O Psychology).
• Exposure to statistical or predictive analytics concepts.
• Familiarity with data modeling, data governance, or data pipelines.
• Strong analytical and problem-solving aptitude.
• Effective communication and data storytelling abilities for diverse audiences.
• Demonstrated ability to manage multiple priorities in a dynamic environment.

Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at accommodations@coursera.org. Learn more in our CCPA Applicant Notice and GDPR Recruitment Notice.

To protect against recruitment fraud, please note that Coursera recruiters will only communicate with candidates using official coursera.org email addresses. We do not conduct interviews or negotiate offers via personal or non-coursera.org accounts.