Data Scientist, Finance
Finance Data Scientist building data models, reporting systems, and forecasts to support financial reporting, strategic decision-making, and investor communications at a public SaaS company.
About the job
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
Nice to 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
Skills
SQL, Python, Data Science, Data Engineering, Financial Reporting, Forecasting, Analytics, dbt, Snowflake, Spark
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