Data Scientist

• 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’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
• 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

Benefits

• Coursera covers the cost of tuition so you can earn a free master’s degree and develop new skills. That’s on top of free, lifelong access to courses and certificates on the platform
• We offer medical, dental, and vision insurance for you and your dependents. Plus, free access to counseling and mental health services
• Get up to 16 weeks of fully-paid parental leave when you grow your family and bring a new child into your life
• We host Make-a-thon events twice a year to promote community and innovation. During Make-a-thon, you’ll dedicate time to attend workshops, work on passion projects, and pursue ideas outside of your day-to-day work
• Take paid time off when you need it. We have time off policies that promote flexibility so you can tailor your work schedule when life calls
• Our flexibility extends to where you work. You can choose to work from home, work from one of our offices, or try a combination of the two
• Employees earn company stock, so you can own what we build together and share in our success- Excellent communication skills, with the ability to translate complex data findings into actionable insights
• Proficiency in BI tools (e.g. Sigma, Databricks, Looker, Tableau)
• Background in economics, statistics, data science, computer science, or a related technical field
• Strong attention to detail and the ability to manage multiple projects simultaneously
• Strong SQL skills and proficiency with at least one scripting language (e.g. Python, R)
• 3+ years of experience as a data scientist, data analyst, or business intelligence analyst
• 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
• Advanced proficiency with SQL and Python to produce clear and actionable insights
• 5+ years of experience using data to advise business, marketing, or consumer strategy teams
• 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