data
Posted 3 hours agoData Scientist, Finance
at Figma
San Francisco, United StatesOn-site
Responsibilities
- Own and improve the data models that power Figma's financial reporting, including ARR, revenue, billings, collections, and other key business metrics
- Build scalable reporting systems, forecasts, and analytical frameworks that support Finance, Accounting, Investor Relations, and executive leadership
- Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams
- Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure the completeness and accuracy of financial data
- Conduct deep-dive analyses that inform strategic decisions and uncover opportunities to improve business performance
- Define, measure, and operationalize key financial and operational metrics
- Design and implement durable data solutions that balance immediate stakeholder needs with long-term scalability
Requirements
- Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI.
- From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world.
- At the same time, Figma's business continues to evolve through new products, AI-powered offerings, acquisitions, and emerging revenue models.
- This is a unique opportunity to work at the intersection of finance, analytics, data engineering, and business strategy—helping shape how Figma measures and communicates its performance as the company scales.
- experience in Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field
- Advanced SQL skills and strong proficiency in Python or a similar programming language •
- Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders
- Demonstrated ability to translate complex data into clear, actionable business insights for non-technical stakeholders •
- Experience working independently and driving projects from ambiguity to execution
- Experience with SaaS, subscription-based, usage-based, or consumption-based business models