Description
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.
Responsibilities:
- 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.
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, 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.
Benefits:
- Innovative culture
- Growth paths
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend.
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