Analytics Engineer
Join ElevenLabs as an Analytics Engineer to shape data-driven decisions in a fast-growing AI company.
Posted by employer 13 hours ago
First seen on Joblaze 1 hour ago
Last verified on the company career page 1 hour ago
What you'll build
- Own the transformation layer between raw data and business decisions
- Drive the implementation of a world-class metric layer
- Design and maintain the certified KPI layer
- Partner with Data Engineering on evolving the data warehouse architecture
- Turn ambiguous questions into trusted, reusable data products
Must have
- Demonstrated experience building and scaling a dbt project
- Expert knowledge of dbt and advanced SQL
- Proficiency across the modern data stack
Nice to have
- Experience modelling billing, subscription and ARR data
- Experience serving data to LLM-based agents
- Experience with CI for data
AI in the day-to-day
We use AI to move faster with higher-quality results across the whole company.
Requirements
- Experience
- 3+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Analytics Engineer at ElevenLabs plays a crucial role in transforming raw data into actionable business insights by developing and maintaining a robust metrics layer using dbt. This position requires expertise in advanced SQL and familiarity with the modern data stack, including tools like BigQuery and Looker. Ideal candidates are experienced analytics engineers who can navigate complex stakeholder requirements and ensure data quality. As one of the first hires in the data team, this role offers the chance to shape foundational data practices in a rapidly growing AI company.
Joblaze insights
- Listed today — first seen on Joblaze October 7, 2026. Last confirmed on ElevenLabs's careers page October 7, 2026.
Quick facts
- Is the Analytics Engineer role remote?
- Yes — ElevenLabs lists this as a fully remote position.
- How much experience is required?
- At least 3 years of relevant experience for this Analytics Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: BigQuery, Looker, Python, SQL, dbt.
- What seniority level is this role?
- ElevenLabs targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Analytics Engineer role at ElevenLabs.
From the original posting
ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
How we work
High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
What we offer
Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
About the role
We're looking for an experienced Analytics Engineer to join our Data team as one of its first hires. You will own the transformation layer between raw data and business decisions: modelling our data in dbt, defining the certified metrics the company runs on, and setting the standards that every analyst and data scientist at ElevenLabs builds.
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.
Requirements
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 (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.
Bonus:
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.
Location
This role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. If you prefer, you can work from our offices in London, Warsaw, Dublin or New York.
#LI-Remote
Standard company text repeated across ElevenLabs's postings is omitted here.