Data Scientist II
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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