Data Scientist, Finance
The vacancy is well-structured with clear responsibilities and compensation details, though some areas could use more specificity.
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Overview
Figma is seeking a Finance Data Scientist to enhance financial data systems, ensuring accuracy and scalability. Collaborate with various teams to support reporting and strategic decision-making in a dynamic environment. 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.
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.
What the company offers
- •Competitive salary with equity options.
- •Health, dental & vision benefits.
- •Retirement plan with company contribution.
- •Parental leave & reproductive or family planning support.
- •Mental health & wellness benefits.
- •Generous PTO and company recharge days.
- •Learning & development stipend.
- •Work from home stipend and cell phone reimbursement.
- •Sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles.
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.