ElevenLabs
ElevenLabs
ElevenLabs is an artificial intelligence and media research lab focused on advancing voice generation. Its work explores new approaches to voice AI and their practical deployment, with the goal of making content more accessible across languages and voices while creating richer experiences for audiences worldwide.

Analytics Engineer at ElevenLabs (Remote, United Kingdom)

Build trusted dbt metrics, KPI models, and reusable data products at ElevenLabs, an AI voice, creative, and agent platform company. Work closely with data teams and business stakeholders to turn complex questions into reliable company-wide insights.

Description

  • Own the transformation layer that connects raw data with business decisions
  • Develop and maintain company data models in dbt
  • Establish certified metrics for use throughout the organisation
  • Create modelling standards for analysts and data scientists
  • Lead the metric layer implementation across modelling conventions, project structure, testing, CI, and documentation
  • Design and maintain certified KPI models for product, finance, and company-wide reporting
  • Develop KPI models that meet rigorous audit requirements
  • Collaborate with Data Engineering to evolve the data warehouse architecture
  • Translate ambiguous stakeholder needs into trusted, reusable data products
  • Make data available to AI agents where appropriate

Requirements

  • Proven experience building and scaling dbt projects and metrics layers, preferably as an early analytics engineer on a growing team
  • Expertise in dbt and advanced SQL
  • Strong understanding of dimensional modelling, data grain, and incremental modelling patterns
  • Proficiency with BigQuery or a comparable data warehouse
  • Proficiency in Python
  • Experience with business intelligence tools such as Looker
  • A rigorous approach to data quality, including testing, documentation, and reconciliation
  • Ability to interpret diverse stakeholder needs, challenge assumptions when necessary, and convert them into generalised, well-documented models
  • Ability to work across CET and ET time zones
  • Hands-on experience implementing dbt projects and metrics layers
  • Experience modelling billing, subscription, and ARR data with Stripe or Salesforce is a bonus
  • Experience modelling large-scale product event data is a bonus
  • Experience serving data to LLM-based agents or building semantic and metrics layers for AI tools is a bonus
  • Experience with Slim CI, data contracts, PII policy tags, and infrastructure-as-code for warehouse access is a bonus

Benefits

  • Annual discretionary budget for professional development
  • Annual discretionary budget for meeting colleagues
  • Annual company offsite
  • Monthly co-working allowance for employees outside main hub locations
  • Remote-first working arrangement
  • Access to offices in London, Warsaw, Dublin, or New York

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