Finance Data Scientist

The role

You will turn billing, revenue and forecasting data into audit-ready numbers. You will provide analysis that shapes pricing and planning decisions as the company scales towards IPO.

What you will do

• Own finance-facing analysis including revenue and ARR reconciliation, cohort and retention economics, and pricing and packaging experiments.
• Partner with Analytics Engineering on the certified finance KPI layer.
• Build forecasting and scenario models for FP&A use in planning and board reporting.
• Translate ambiguous finance questions from FP&A, RevOps and leadership into clear, reusable analysis.

Required qualifications

• 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.
• Comfort reconciling data across Stripe, Salesforce and a dbt-modelled warehouse.
• Finance fluency in ARR, billing, revenue recognition, and cohort economics.
• Rigour around data quality and ability to reconcile and explain variance.
• Strong stakeholder management with Finance leadership and ability to push back on ambiguous asks.

Nice to have

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

Benefits

• Annual discretionary stipend for professional development.
• Annual discretionary stipend to meet up with colleagues.
• Annual team offsite.
• Monthly co-working stipend if not located near a main hub.

About the company

ElevenLabs is an AI research and product company transforming how we interact with technology. They have expanded from voice into three main platforms: ElevenAgents, ElevenCreative, and ElevenAPI.