Data Scientist/ Data Engineer : ElevenLabs
Job Description
This role is remote, so it can be executed globally. If you prefer, you can work from our offices in New York, London and Warsaw.
We’re looking for an experienced, hands-on Data Engineer to embed into and support analytics within RevOps and Finance teams. In this role, you will:
Design and Build Data Pipelines: Develop robust ETL processes that integrate data from various sources (CRM, ERP, marketing platforms, financial systems) to ensure that RevOps and Finance have reliable, timely data.
Ensure Data Quality & Integrity: Implement automated data validation and cleansing processes to maintain high-quality datasets, reducing errors that could impact financial reporting or revenue forecasting.
Develop Data Models: Create and maintain data models that drive key performance indicators (KPIs) for revenue operations and finance.
Automate Reporting Processes: Streamline regular reporting tasks by automating data extractions and report generation, ensuring stakeholders have access to real-time insights.
Document Processes & Methodologies: Maintain thorough documentation of data pipelines, models, and analytical methodologies to facilitate transparency and ensure consistency across teams.
Build informative BI dashboards for finance and RevOps teams.
What you bring
A track record of partnering with RevOps and Finance teams to translate business challenges into data-driven solutions, ensuring alignment on key performance metrics.
Proficiency with tools across the modern data stack (python, SQL, BI tools, dbt)
Nice to have: familiarity with Salesforce, Gong, Stripe, Netsuite APIs
What we offer
High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!)
Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.
Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.
