Finance Data Scientist

Job summary

Responsibilities

We're looking for a Finance Data Scientist to join our central Data team as the first dedicated analytics partner to Finance. You'll turn billing, revenue and forecasting data into audit-ready numbers, and the analysis that shapes pricing and planning decisions as we scale towards IPO.

• Own finance-facing analysis: revenue and ARR reconciliation, cohort and retention economics, pricing and packaging experiments.
• Partner with Analytics Engineering on the certified finance KPI layer (ARR, billing, revenue), and be the first to catch when a number is quietly wrong.
• Build forecasting and scenario models that FP&A uses directly in planning and board reporting.
• Translate ambiguous finance questions from FP&A, RevOps and leadership into clear, reusable analysis.

What they're looking for

• Strong SQL and Python, with comfort reconciling data across Stripe, Salesforce and a dbt-modelled warehouse.
• Finance fluency: ARR, billing, revenue recognition, cohort economics — you can speak FP&A's language.
• Rigour around data quality: you reconcile by default and can explain a variance, not just report it.
• Strong stakeholder management with Finance leadership, and the ability to push back on ambiguous asks.

Tech stack

• SQL
• Python
• dbt
• BigQuery