Figma
Mid
Build the financial data foundation powering Figma's reporting and forecasting as a public company
Interview prep for Figma's Data Scientist, Finance role, owning data models behind ARR, revenue, billings, and investor-facing metrics. Expect questions on SQL/Python rigor, financial data accuracy during close cycles, and translating complex data into insights for non-technical Finance stakeholders. Strong candidates bring 3+ years at the intersection of data and finance, ideally with SaaS metrics or public-company reporting exposure.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Ownership of financial data models (ARR, revenue, billings, collections)
- Data accuracy across month/quarter/year-end close processes
- Advanced SQL and Python for financial analytics at scale
- Translating complex financial data into decisions for non-technical stakeholders
- Driving ambiguous financial analytics asks to durable, scalable solutions
- SaaS/subscription metrics and public-company reporting exposure (ASC 606, SOX)
Common question themes
Describe owning a financial metric's data model end-to-end and ensuring its accuracy at close
Walk me through a SQL/Python-heavy analysis that changed a Finance decision
How do you scope an ambiguous ask from Finance leadership into a scalable data solution
What's your experience with SaaS revenue metrics or ASC 606 revenue recognition
Tell me about partnering with Accounting or Investor Relations under a reporting deadline
How do you build trust as a data thought partner with non-technical Finance leaders
Related interviews
Figma
Mid
Data Scientist, Core Data - PhD (2026)
Figma
Mid
Data Scientist, Marketing
Figma
Mid
Support AI Engineer
Dropbox
Mid
Data Scientist
Mid
Data Scientist II, Infrastructure
Replit
Senior