The opportunity
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.
What you'll do
Partner closely with Enterprise Product, Design, and Engineering teams to use: data to inform product strategy, priorities, and roadmap decisions.
Own the analytical strategy for your product area, including the KPIs and: measurement frameworks teams use to understand product performance and customer outcomes.
Analyze product usage and customer behavior to understand adoption,: engagement, retention, user journeys, and friction points, and identify opportunities to improve the product experience.
Design and evaluate experiments end-to-end, from developing hypotheses and: defining metrics to experimental design, analysis, and recommendations.
Use causal inference and quasi-experimental methods when randomized: experiments aren’t feasible to help teams understand the impact of product changes and initiatives.
Apply statistical and analytical methods, including regression, segmentation,: forecasting, and predictive modeling where appropriate, to answer complex product questions.
What they're looking for
- Partner with Product and Engineering on instrumentation and measurement: strategies so that new and existing product experiences can be reliably evaluated.
- Turn complex analyses into clear recommendations and data stories that help: product teams and senior leaders make decisions.
- Develop reusable analytical frameworks and tools that make it easier for: product teams to answer recurring questions and use data in their day-to-day decisions.
- Partner with Data Engineering and Analytics Engineering on instrumentation,: data models, and other data foundations needed for reliable product analytics, while being comfortable self-serving when needed to move an analysis forward.
