Senior People Analytics Lead

About Coursera + Udemy

Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our  blog .

Why join us now?

AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.

Shape what comes next

By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.

How we work

We let you choose the best way to work, whether it’s from home, an office, or a collaboration space. We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to come together.  If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.

About this role

You'll shape how your organization understands and manages its workforce through people analytics. Reporting to the Director of People Operations & Technology, you'll own the analytics roadmap, build trusted data and reporting capabilities, and translate insights into practical improvements across hiring, compensation, employee relations, and operations. You'll partner closely with People Business Partners, Talent Acquisition, Total Rewards, and leadership to anticipate talent needs and make People services more effective and scalable. This is a hands-on individual contributor role with meaningful influence across the People team and no direct people management responsibility.

About your skills

Advanced Analytics

Essential for uncovering patterns, predicting workforce trends, and providing actionable insights from complex HR data.

Data Storytelling

Required to communicate analytics findings and recommendations effectively to senior People and business leaders.

AI Fluency

Enables appropriate application of AI tools to enhance people analytics capabilities and build future-ready analytical solutions.

What you'll be doing

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Build and strengthen foundational analytics capabilities, including data quality standards, consistent metrics definitions, and reliable reporting infrastructure that supports the People organization.

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Partner with People Business Partners, Talent Acquisition, Total Rewards, and Employee Relations to analyze processes, identify inefficiencies, and implement data-driven improvements.

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Develop workforce and talent insights that help leadership understand headcount trends, succession planning needs, retention patterns, and hiring effectiveness.

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Conduct advanced statistical analysis and research to answer complex workforce questions and inform strategic People decisions.

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Explore and implement AI and automation opportunities to enhance analytics capabilities and reduce manual reporting effort.

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Create dashboards, reports, and visualizations in Tableau or similar tools that stakeholders actively use to make decisions.

Qualifications

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Experience with people analytics, HR analytics, or a related analytical field, with substantial background applying analytics to People data and processes.

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Background in integrating complex HR datasets and building sustainable data pipelines in partnership with HRIS, IT, or data engineering teams.

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Demonstrated proficiency in Tableau or a similar visualization tool, with a track record of creating reporting that stakeholders use to make decisions.

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Background in statistical methods and research practices, with demonstrated judgment in selecting an approach appropriate to the question and available data.

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Demonstrated ability to communicate findings and recommendations clearly to senior People and business leaders.

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Demonstrated history of translating analysis into measurable improvements in process efficiency, service quality, data accuracy, or employee experience.

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Background in HR operations, employee lifecycle processes, and workforce and talent metrics.

Compensation

This role is available in the following US Pay Zones:

US Zone 3: $147,475 - $173,500

US Zone 4: $137,275 - $161,500

At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level across four U.S. pay zones. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.

US Pay Zones

Zone 1 – San Francisco Bay Area only

Zone 2 – New York City Metro and Seattle Metro

Zone 3 – CA (outside of SF Bay Area), CO, CT, DC, GA, IL, MA, MD, NY/NJ (outside of NYC Metro), OR, RI, TX, VA, WA (outside of Seattle Metro)

Zone 4 – All other US locations not listed in Zones 1–3

Posting Date : November 9, 2026

Application Window : November 9 - November 20, 2026

We anticipate the application window will be open until November 20, 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.

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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 recruiting@coursera.org.