Senior Content Business Analyst

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. Read more about the combined company by visiting our blog.

By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.

Coursera + Udemy lets you choose the best way to work, whether it’s from home, an office, or a collaboration space. We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to come together. If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.

The Global Skills & Credentials organization is seeking a Senior Content Business Analyst to strengthen how we evaluate and improve the performance of our educational content. In this role, you’ll transform complex data into clear insights and strategic recommendations that inform executive decision-making and contribute directly to the growth and efficiency of our content portfolio. You’ll partner closely with finance, data science, data engineering, revenue operations, content strategy, and other cross-functional teams to analyze performance at both the individual course and portfolio levels. The best candidates are analytical, resourceful problem-solvers who can uncover meaningful trends, resolve complex data challenges, and communicate a compelling story that drives action.

• Business Analytics: Translating complex content, learner, operational, and financial data into actionable business insights and strategic recommendations.
• Performance Measurement: Developing and monitoring meaningful KPIs that accurately reflect content performance, learner engagement, and progress against company-level objectives.
• Executive Storytelling: Turning data and trends into polished, compelling presentations that enable cross-functional and executive audiences to make informed decisions.

• →Use advanced content analytics to answer critical business questions and guide strategic decisions related to content performance, learner engagement, and portfolio growth.
• →Develop, implement, and monitor detailed KPIs that accurately reflect the health and effectiveness of our courses, credentials, and programs in support of company-level OKRs.
• →Investigate and resolve legacy data challenges to unlock new analyses, reporting capabilities, and deeper views of content performance.
• →Partner closely with finance, content strategy, revenue operations, data science, data engineering, and other cross-functional teams to connect data insights with financial and operational priorities.
• →Leverage generative AI tools to automate and improve data analysis processes, making reporting and insight generation more efficient and effective.
• →Build polished presentations and clear storylines that explain trends, surface opportunities, and inspire action across large cross-functional teams and executive audiences.
• →Manage multiple analytical initiatives in a dynamic, fast-paced environment while maintaining accuracy, clarity, and strong stakeholder alignment.

• 5+ years of experience in business analysis, analytics, or a related discipline, preferably within a technology or education-focused environment.
• Proficiency with data analysis and visualization tools.
• Strong presentation and communication skills, with the ability to translate complex data into clear, actionable recommendations.
• Experience using generative AI technologies to improve or automate data analysis processes.
• Experience working cross-functionally with teams such as finance, strategy, operations, data science, or data engineering.
• Strong problem-solving skills and the ability to manage multiple projects and priorities simultaneously.
• Experience with business intelligence tools, Salesforce, spreadsheets, statistical software, and SQL.

Posting Date: October 14, 2026 

Application Window: October 14, 2026 - November 14, 2026

We anticipate the application window will be open until November 14, 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.

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