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Analytics Engineer

ElevenLabs
Posted this week

LOCATION

United Kingdom · Remote

EXPERIENCE

Not specified

TYPE

FullTime

SKILLS REQUIRED

DBTSQLData ModelingMetrics DesignDimensional ModelingData QualityData WarehousingBigQueryCI/CD

Job description

Overview

Join ElevenLabs' Data team as one of its first hires to own the transformation layer between raw data and business decisions, modelling data in dbt and defining the certified metrics the company runs on.

What you'll do

  • 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.
  • Partner with stakeholders to turn ambiguous questions into trusted, reusable data products, including data served through AI agents.

What you'll need

  • Demonstrated experience building and scaling a dbt project and metrics layer, ideally as one of the first analytics engineers on a growing team.
  • Expert knowledge of dbt and advanced SQL.
  • 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.

Nice to have

  • Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale.
  • Experience serving data to LLM-based agents or building semantic / metrics layers consumed by AI tools.
  • Experience with CI for data (Slim CI, data contracts, PII policy tags) and infrastructure-as-code for warehouse access.

Details

  • Remote-first; can be executed from anywhere in Europe or the US East Coast.
  • Ability to operate in CET / ET timezones required.
  • Offices available in London, Warsaw, Dublin or New York if preferred.

Read the full description and apply on the company’s own careers page.

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Analytics Engineer