Data Scientist II

About Coursera
Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change. Read more about the combined company by visiting our blog .
Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to worldclass 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. 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. Coursera recently combined with Udemy to create one of the world's most comprehensive skills development platforms.
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 that comes together intentionally for collaboration, complex problem-solving, and key milestones - creating opportunities for teams to do their best work together. Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere. If you're ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.
Job Overview:
At Coursera, our Data Science team is helping to build the future of education through data-driven decision-making and data-powered products. We drive product and business strategy through measurement, experimentation, and causal inference to help Coursera deliver effective content discovery and personalized learning at scale. We believe the next generation of teaching and learning should be personalized, accessible, and efficient. With our scale, data, technology, and talent, Coursera and its Data Science team are positioned to make that vision a reality.
We're looking for a knowledgeable Data Scientist - Business Analytics to support decision-making for our business and consumer leadership teams. This role will be leveraging the rich data captured by over 200M+ learners and thousands of instructors engaging on the platform to identify business trends, define and track KPIs, and deliver data-driven insights that help shape consumer strategy. This role will partner closely with business leaders across the organization to align on strategic priorities and measure business performance. Our ideal candidate possesses strong analytical and reporting skills, familiarity with trend analysis and KPI frameworks, strong business acumen, and the ability to translate analysis into actionable recommendations that inform consumer and business strategy.
Responsibilities:

• Develop a deep understanding of Coursera's business, market, and learners to identify trends and translate them into actionable insights and recommendations.
• Analyze business performance, define and track KPIs, and conduct deep dives into consumer behavior and business trends.
• Partner with business leaders to shape consumer strategy and inform strategic prioritization.
• Support analytics teams to build dashboards and reporting systems for tracking key business and consumer metrics.
• Present findings and recommendations to business leaders and cross-functional partners clearly and concisely.

Basic Qualifications:

• Background in economics, statistics, data science, computer science, or a related technical field
• 3+ years of experience as a data scientist, data analyst, or business intelligence analyst
• Strong SQL skills and proficiency with at least one scripting language (e.g. Python, R)
• Proficiency in BI tools (e.g. Sigma, Databricks, Looker, Tableau)
• Excellent communication skills, with the ability to translate complex data findings into actionable insights
• Strong attention to detail and the ability to manage multiple projects simultaneously

Preferred Qualifications:

• 5+ years of experience using data to advise business, marketing, or consumer strategy teams
• Advanced proficiency with SQL and Python to produce clear and actionable insights
• Experience leveraging AI tools to accelerate data analysis, generate insights, or enhance analytical workflows
• Familiarity with online education platforms, specifically with platforms like Coursera and Udemy

If this opportunity interests you, you might like these courses on Coursera:

• Go Beyond the Numbers: Translate Data into Insights
• Design of Experiments
• Google Advanced Data Analytics

Compensation:
Our job titles may span more than one career level. The starting base pay for this role is between $113,600 CAD and $142,000 CAD. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and location. The base pay range is subject to change and may be modified in the future. This role is also eligible for bonus, equity, and benefits.
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