Data Scientist II

Shape what comes next

Job Overview

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.
• #PL-1
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• To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
• If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.