Senior People Analytics Lead

Posted 24 Minutes Ago
Be an Early Applicant
Hiring Remotely in United States
Remote or Hybrid
137K-174K Annually
Senior level
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Coursera recently combined with Udemy, bringing together two mission-driven companies to create one of the world’s most
The Role
Own the people analytics roadmap, build reliable HR data pipelines and reporting, and deliver workforce, talent, and process insights. Analyze employee lifecycle operations, measure performance, identify automation opportunities, and develop dashboards and predictive analyses for senior leaders. Partner across People, HRIS, IT, Finance, Legal, and data teams to improve data governance, privacy, operational efficiency, and employee experience. Establish analytical standards and coach People colleagues on data-driven decision-making.
Summary Generated by Built In

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 the organization understands and manages its workforce. Reporting to the Director of People Operations & Technology, you’ll own the people analytics roadmap, build trusted data and reporting, and turn insights into practical improvements across the employee lifecycle. You’ll partner with People Business Partners, Talent Acquisition, Total Rewards, Employee Relations, and People leadership, and work with HRIS, IT, and Finance to connect data and strengthen governance.

This is a hands-on senior individual contributor role with broad influence across the People team.

About Your Skills

People Data Foundations
Building trusted, well-governed people data through reliable pipelines, consistent metric definitions, and quality checks that make reporting and analysis dependable.

Process & Performance Analytics
Using data to find bottlenecks, errors, and manual work in People processes, set baselines, and measure whether improvements, including AI and automation, deliver results.

Insight to Decision
Applying the right analytical methods to workforce questions and turning findings into clear recommendations and dashboards that senior leaders act on.

 

What you’ll be doing
  • Own the analytics roadmap. Prioritize the People organization’s most important workforce, talent, and operational questions, and balance immediate needs with foundational work like data quality, consistent metrics, and reliable reporting.
  • Build trusted people data. Partner with HRIS and data owners to maintain reliable datasets and pipelines, with clear metric definitions, quality checks, and documentation.
  • Improve People processes. Analyze onboarding, employee changes, case management, and offboarding to find bottlenecks, errors, and manual work. Set baselines, recommend improvements with process owners, and measure results.
  • Measure operational performance. Develop metrics for service demand, cycle times, resolution quality, and rework to inform capacity, self-service, and automation priorities.
  • Deliver workforce and talent insights. Work with People Business Partners and Finance on headcount, workforce costs, org structure, hiring, retention, internal mobility, and succession, and connect findings to workforce plans.
  • Apply advanced methods. Use statistical analysis, forecasting, and predictive techniques, and clearly communicate assumptions and limitations.
  • Tell the story. Build dashboards that leaders actually use, streamline recurring reporting, and run a quarterly workforce insights review that highlights changes, risks, and recommended actions.
  • Advance AI and automation responsibly. Identify, validate, and measure practical AI and automation opportunities. Embed privacy, access controls, and responsible-use practices, and partner with Legal and IT on sensitive data.
  • Build capability. Set analytical standards and coach People colleagues on using data confidently.

 

Qualifications
  • 8+ years in people analytics, HR analytics, or a related field, with substantial experience applying analytics to People data and processes.
  • Strong understanding of HR operations, employee lifecycle processes, and workforce and talent metrics.
  • Experience with Workday or a similar HRIS, including how system configuration and business processes affect data quality.
  • Experience integrating complex HR datasets and building sustainable pipelines with HRIS, IT, or data engineering teams.
  • Advanced SQL and strong Python or R skills.
  • Advanced proficiency in Databricks, Tableau, or similar platforms, with a track record of building reporting that leaders use to make decisions.
  • Strong grounding in statistical methods, with the judgment to match the approach to the question and the data.
  • Demonstrated success translating analysis into measurable improvements in efficiency, service quality, data accuracy, or employee experience.
  • The ability to scope ambiguous requests, prioritize competing needs, and deliver independently.
  • Clear, compelling communication with senior People and business leaders.
  • Sound judgment with sensitive employee data and a commitment to privacy, fairness, and responsible AI.

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.


#LI-JC2

For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice.

To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.

If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form.
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 [email protected]. 

Skills Required

  • 8+ years of experience in people analytics, HR analytics, or a related field
  • Substantial experience applying analytics to People data and processes
  • Strong understanding of HR operations, employee lifecycle processes, and workforce and talent metrics
  • Experience with Workday or a similar HRIS
  • Experience integrating complex HR datasets and building sustainable data pipelines with HRIS, IT, or data engineering teams
  • Advanced SQL skills
  • Strong Python or R skills
  • Advanced proficiency in Databricks, Tableau, or similar platforms
  • Track record of building reporting used by leaders for decision-making
  • Strong grounding in statistical methods
  • Experience translating analysis into measurable improvements in efficiency, service quality, data accuracy, or employee experience
  • Ability to scope ambiguous requests, prioritize competing needs, and deliver independently
  • Clear, compelling communication with senior People and business leaders
  • Sound judgment with sensitive employee data and commitment to privacy, fairness, and responsible AI

What the Team is Saying

Coursera + Udemy Compensation & Benefits Highlights

  • Healthcare Strength — Comprehensive medical, dental, and vision coverage is emphasized, often paired with mental-health resources such as Modern Health and Headspace. Wellness perks and remote-work support further reinforce access to care.
  • Parental & Family Support — Parental leave is presented as fully paid and substantial (e.g., around 12 weeks), with added fertility, adoption, and surrogacy support plus caregiver-concierge services in some plans. These offerings signal meaningful support for families alongside flexible time off.
  • Equity Value & Accessibility — Total rewards commonly include restricted stock units and an employee stock-purchase plan in addition to base pay. Bonuses and equity are positioned as notable components of compensation.

Coursera + Udemy Insights

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The Company
HQ: San Francisco, CA
1,500 Employees
Year Founded: 2010

What We Do

About Coursera: Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with 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 AI-powered personalized guide and features, like Role Play and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. About Udemy: Udemy is an AI-powered skills acceleration platform transforming how companies and individuals across the world build the capabilities needed to thrive in a rapidly evolving workplace. By combining on-demand, multi-language content with real-time innovation, Udemy delivers personalized experiences that empower organizations to scale workforce development and help individuals build the technical, business, and soft skills most relevant to their careers.

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Coursera + Udemy Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We offer hybrid work schedules and hybrid working so our people can make work fit their unique needs.

Typical time on-site: 2 days a week
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