Finance Data Scientist

ElevenLabs

. Turn billing, revenue, and forecasting data into audit-ready numbers and analysis for pricing and planning decisions .

Posted 10/5/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in financial data analysis, including revenue recognition, ARR, and cohort economics, while leveraging strong SQL and Python skills to deliver audit-ready insights. Capable of translating complex finance queries into actionable analysis and collaborating effectively with finance leadership.

Highest-signal resume keywords

SQLPythonFinance FluencyData ReconciliationStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisRevenue RecognitionForecasting ModelsCohort EconomicsData Quality Assurance

Soft Skills

Stakeholder ManagementProblem-SolvingCommunication

Tools & Technologies

StripeSalesforceDbtBigQuery

Certifications & Qualifications

SOX Compliance

Industry Keywords

FP&AAudit ReadinessPricing ExperimentationSubscription Business

Tech Stack

Tools & technologies

BigQueryPythonSQL

About the role

Key responsibilities & impact

Turn billing, revenue, and forecasting data into audit-ready numbers and analysis for pricing and planning decisions
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 covering ARR, billing, and revenue
Identify and investigate incorrect or inconsistent data
Build forecasting and scenario models used by FP&A for planning and board reporting
Translate ambiguous finance questions from FP&A, RevOps, and leadership into clear, reusable analysis
Potentially grow into broader strategic finance or RevOps analytics and data leadership responsibilities

Requirements

What you’ll need

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
Experience 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 explain variances
Strong stakeholder management with Finance leadership
Ability to push back on ambiguous asks
Ability to operate in CET / ET timezones
Experience preparing finance data for audit, SOX, or IPO readiness is a bonus
Experience with pricing / packaging experimentation or revenue forecasting at a subscription or usage-based business is a bonus
Experience with dbt or a modern warehouse such as BigQuery is a bonus

Benefits

Comp & perks

Annual discretionary professional development stipend
Annual discretionary stipend for social travel to meet colleagues
Annual company offsite
Monthly co-working stipend for employees not near a main hub
Flexible choice to work from company offices in London, Warsaw, Dublin, or New York
Growth opportunities and career progression paths