Senior People Analytics Partner

Join Udemy. Help define the future of learning.

Udemy is an AI-powered reskilling platform built to help people and teams grow. It’s personalized, practical, and focused on real-world impact.

Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they’re picking up something new or leveling up to stay ahead.

Over 80 million learners and 17,000 businesses already learn with Udemy. If you’re excited by change, energized by learning, and ready to have a real impact, you’ll feel right at home. 

Learn more about us on our company page.

Where we work

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays.

About you

You are a people analytics professional who thrives at the intersection of data science, HR, and business strategy. You’re passionate about using advanced analytics to uncover insights about people and organizational dynamics. You combine technical expertise with a deep understanding of human resources concepts to deliver solutions that positively impact employee experience and business performance. You excel at organizing disparate data, working across multiple stakeholders and translating complex analytical findings into compelling and easy-to-understand insights.

About your Skills: 

• Data Engineering & Management: Proficient in programming languages (R and/or Python preferred) for data manipulation, statistical analysis, and predictive modeling

• Data Platforms: Experience working with modern data platforms such as Databricks (preferred) or similar lakehouses/warehouses

• Data Visualization: Proficient Tableau (preferred) or similar BI tools to create impactful dashboards and data stories

• Statistical Acumen: Strong foundation in statistical methods, experimental design, and data science techniques commonly used with People Data 

• HR Domain Knowledge: Understanding of HR/People metrics, talent processes, and common analytics scenarios in People Teams

• Ethical Judgment: Strong commitment to data privacy, ethical use of analytics, and responsible AI practices. 

• Critical thinking: skills that allow you to constructively debate with your colleagues to ensure we are always learning and getting to the best solution vs. the most convenient one. 

About the Role:

You will serve as a technical subject matter expert who drives our people analytics strategy and roadmap. You’ll work independently on high-impact projects while collaborating with key stakeholders across the business such as our CPO, people strategy, people partners, people operations, and business leaders to deliver insights that shape our talent decisions.

 

What You’ll be Doing 

• Data Engineering & Management: Develop and maintain efficient data pipelines using modern data technologies like Databricks, ensuring data quality, integration, and accessibility

• Dashboard & Visualization Development: Create compelling, interactive visualizations and dashboards in platforms like Tableau that communicate insights effectively to various stakeholders

• Analytics Initiatives: Design and execute people analytics projects that address critical business questions across the talent lifecycle (recruitment, engagement, performance, retention, etc.)

• Statistical Analysis & Modeling: Apply statistical methods and predictive modeling techniques to identify trends, forecast outcomes, and uncover insights from People data

• Cross-functional Collaboration: Work closely with IT, HRIS, and other data teams to improve data infrastructure, governance, and analytics processes

• Strategic Consulting: Partner with the People Team and business leaders to interpret data findings, provide recommendations, and drive action planning

 

What you’ll have

• 7+ years of experience in people analytics, data science, or related analytical roles

• Demonstrated proficiency in statistical programming using R, Python, or similar languages

• Track record of developing impactful data visualizations and dashboards using Tableau or e