FP&A Manager

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.

This role will join Coursera’s Finance team and play a strategic role in forecasting, business planning, performance reporting, and business analytics activities. In this role, you will own key components of Coursera’s revenue forecasting and planning processes, build and maintain key performance metrics, analyze and drive insights on those metrics. You will bring outstanding planning and modeling skills with a willingness to learn about the industry. This role will be dedicated to helping stakeholders make well informed decisions based on Company financial analysis and performance. The ideal candidate has strong analytical skills, business acumen, and a passion for connecting data to meaningful business outcomes.

• →Strategic Finance Partner to internal consumer business leaders and FP&A team, defining, tracking, analyzing and communicating key metrics to guide operational and strategic decisions
• →Own analysis and reporting of underlying drivers of monthly business performance. Lead daily, weekly, monthly and quarterly topline performance updates and business deep dives
• →Build, enhance and manage scalable financial models, including regional forecast models, LTV/CAC framework, content benchmarking  and marketing ROI analyses to support forecasting, planning and strategic decisions
• →Drive continuous improvement of FP&A processes, systems, and tools, helping streamline forecasting cycles, enhance data accuracy, and improve reporting automation and scalability

• 5+ years of progressive, relevant experience in FP&A
• Demonstrated background to build strong relationships and establish credibility with diverse audiences and work collaboratively to deliver meaningful analyses and decision support
• Direct experience with Excel, G-suite, NetSuite, Planning Systems like IBM TM1/Oracle Essbase
• Ability to work with large volumes of data, drive insights through analysis, and communicating to business partners
• Experience in Financial modeling, understand US GAAP revenue recognition standards

• A Bachelor’s degree in Finance, Business, Economics or other relevant quantitative field
• Advanced Excel/Gsheet skills with the ability to create and operate complex financial models and automated reporting
• Proven experience working with large volumes of data 
• Experience with process re-engineering and improvement
• Excellent verbal and written communication skills with the ability to interact effectively and communicate with all levels of the company
• Internet Consumer business experience preferred

Business and Financial Modeling Specialization

Data Analysis & Presentation Skills

Business Statistics and Analysis

Data Warehousing for Business Intelligence Specialization

At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level across four U.S. pay zones. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.

• US-Z1: Bay Area
• US-Z2: NYC and Seattle Metro
• US-Z3: CA, WA, NY, NJ, CO, CT, DC, GA, IL, MA, MD, OR, RI, TX, VA
• US-Z4: AK, AZ, DE, FL, HI, ID, IN, IA, KS, KY, MI, MN, MO, MT, NC, NV, NH, OH, OK, PA, SC, TN, UT, VT, WI

Posting Date: 24th August, 2026
Application Window:
We anticipate the application window will be open until 19th September 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.

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