Finance Data Scientist

Overview

This role is part of the organization’s central Data team and serves as the first dedicated analytics partner to Finance. You will turn billing, revenue, and forecasting data into audit-ready numbers and deliver analysis that informs pricing and planning decisions as the organization scales toward IPO.

Responsibilities

• Own finance-facing analysis, including:
  • Revenue and ARR reconciliation
  • Cohort and retention economics
  • Pricing and packaging experiments
• Partner with Analytics Engineering to define and support the certified finance KPI layer (ARR, billing, revenue), and identify discrepancies early when numbers are “quietly wrong.”
• Build forecasting and scenario models used directly by FP&A for planning and board reporting.
• Translate ambiguous questions from FP&A, RevOps, and leadership into clear, reusable analysis.

Requirements

• Demonstrated experience as a data scientist or analyst embedded with a Finance / FP&A function, ideally at a growth-stage or pre-IPO company.
• Strong SQL and Python, including experience reconciling data across Stripe, Salesforce, and a dbt-modelled warehouse.
• Finance fluency, including:
  • ARR, billing, revenue recognition, and cohort economics
  • Ability to communicate effectively in FP&A terminology
• Strong rigor around data quality, including the ability to reconcile by default and explain variance.
• Strong stakeholder management with Finance leadership, including comfort pushing back on ambiguous requests.

Preferred Qualifications

• Experience preparing finance data for audit, SOX, or IPO readiness.
• Experience with pricing/packaging experimentation or revenue forecasting for subscription or usage-based businesses.
• Experience with dbt or a modern warehouse (BigQuery), partnering directly with analytics engineers.

Compensation & Benefits

• Annual discretionary stipend for learning and development.
• Annual discretionary stipend for social travel with colleagues.
• Annual company offsite (previous offsite locations included Croatia and Italy).
• Monthly co-working stipend if not located near a main hub.

Location

Remote-first. Work can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. Alternatively, you can work from offices in London, Warsaw, Dublin, or New York.

Equal Opportunity

The employer is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.