Remote job
Finance Data Scientist
Job details
About this role
Role overview
As the first dedicated analytics partner to Finance, you’ll turn billing, revenue and forecasting data into reliable figures and useful analysis. Your work will support financial planning, pricing decisions and reporting as the business grows.
Responsibilities
- Reconcile revenue and annual recurring revenue (ARR), investigate discrepancies and maintain confidence in finance metrics. - Analyze customer cohorts, retention and unit economics to inform pricing and packaging decisions. - Partner with analytics engineering to define and maintain trusted finance metrics for billing, ARR and revenue. - Build forecasting and scenario models used by FP&A for planning and board reporting. - Turn open-ended questions from Finance, Revenue Operations and leadership into clear, reusable analysis.
Requirements
- Experience as a data scientist or analyst working closely with Finance or FP&A, ideally in a growth-stage or pre-IPO business. - Strong SQL and Python skills, including reconciling information across billing, customer relationship management and warehouse data. - Working knowledge of ARR, billing, revenue recognition and cohort economics. - A rigorous approach to data quality, with the ability to explain variances and their causes. - Strong communication with Finance stakeholders and confidence clarifying or challenging ambiguous requests.
Nice to have
- Experience preparing financial data for audit, internal controls or IPO readiness. - Background in pricing experiments, packaging or revenue forecasting for a subscription or usage-based business. - Familiarity with dbt or a modern data warehouse, and experience partnering with analytics engineers.
Benefits and work setup
The role is remote-first for candidates in Europe or the US East Coast, with availability to work across Central European or Eastern time. Office options are available in London, Warsaw, Dublin and New York. Support includes annual discretionary stipends for learning and development and colleague meetups, an annual team offsite, and a monthly coworking stipend for those outside main hubs.