Finance Data Scientist
New
E
ElevenLabsFinance analytics
This role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, CET / ET timezones requiredFull-Time
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLSalesforceBigQuerydbt
Requirements
- Have demonstrated experience as a data scientist or analyst embedded with a Finance or FP&A function.
- Bring strong SQL and Python skills.
- Be comfortable reconciling data across Stripe, Salesforce, and a dbt-modelled warehouse.
- Understand ARR, billing, revenue recognition, and cohort economics.
- Apply data-quality rigor, reconcile data, and explain variances.
- Have strong stakeholder management skills with Finance leadership and be able to push back on ambiguous requests.
- Experience preparing finance data for audit, SOX, or IPO readiness is a bonus.
- Experience with pricing or 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, and partnering directly with analytics engineers, is a bonus.
Responsibilities
- Reconcile revenue and ARR and analyze cohort and retention economics.
- Analyze pricing and packaging experiments.
- Partner with Analytics Engineering on the certified finance KPI layer for ARR, billing, and revenue.
- Identify and investigate incorrect or inconsistent finance data.
- Build forecasting and scenario models for FP&A planning and board reporting.
- Translate finance questions from FP&A, RevOps, and leadership into clear, reusable analysis.
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