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Analytics Engineer

ElevenLabs· Engineering & Product
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RemoteFull-timePosted 2w ago

About the role

Experienced Analytics Engineer responsible for building and maintaining ElevenLabs' metric and KPI layers, modelling data in dbt, defining certified metrics, and collaborating with Data Engineering and stakeholders to deliver reusable data products and AI-ready data services.

Responsibilities

  • Drive the implementation of a world-class metric layer for the company: modelling conventions, project structure, testing, CI, and documentation.
  • Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny.
  • Partner with Data Engineering on evolving the data warehouse architecture, and with stakeholders to turn ambiguous questions into trusted, reusable data products, including data served through AI agents.

Qualifications

  • Expert knowledge of dbt and advanced SQL (required); strong grasp of dimensional modelling, grain, and incremental patterns.
  • Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker).
  • Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly but is quietly wrong.
  • Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models.

Skills

Required:dbtSQLdimensional modellingBigQuery or similar warehouseLooker
Nice to have:Python

Benefits

  • Innovative culture
  • Growth paths
  • Learning & development with annual discretionary stipend
  • Social travel annual discretionary stipend
  • Annual company offsite
  • Co-working stipend
Last updated Oct 22, 2026. Interested? Apply on the company site.
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