Data Scientist, Finance

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. 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. If you're excited to shape the future of design and collaboration, join us! Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have never been more important. At the same time, Figma's business continues to evolve through new products, AI-powered offerings, acquisitions, and emerging revenue models. We're looking for a Finance Data Scientist to help build the data foundation that powers financial reporting, forecasting, strategic decision-making, and investor communications. In this role, you'll partner closely with Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams to ensure our financial metrics are accurate, actionable, and trusted across the business. 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. The data and systems built by this team directly support executive decision-making, public company reporting, and Figma's long-term growth strategy. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - 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 - Serve as a trusted thought partner to Finance leaders, helping guide reporting, forecasting, and decision-making across the business We'd love to hear from you if you have: - 3+ years of 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 While it's not required, it's an added plus if you also have: - Experience with SaaS, subscription-based, usage-based, or consumption-based business models - Knowledge of accounting concepts and revenue recognition principles (ASC 606) - Experience with modern analytics and data engineering tools such as DBT, Snowflake, Git, Spark, Presto, or similar technologies - Experience supporting IPO readiness, public company reporting, SOX controls, audits, or other major corporate milestones - Background in Strategic Finance, FP&A, Accounting, Investment Banking, Consulting, or related fields At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work l

3+ years of 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. Bonus: experience with SaaS/subscription-based models; knowledge of ASC 606; experience with modern analytics/data engineering tools (DBT, Snowflake, Git, Spark, Presto); experience with IPO readiness, SOX controls, audits, or related areas; background in Strategic Finance, FP&A, Accounting, Investment Banking, or Consulting.

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. Serve as a trusted thought partner to Finance leaders, helping guide reporting, forecasting, and decision-making across the business.