Elevenlabs

Analytics Engineer

Europe full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

About ElevenLabs

ElevenLabs is an AI research and product company transforming how we interact with technology.

We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.

We have expanded from voice into three main platforms:

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.

ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.

ElevenAPI gives developers access to our leading AI audio foundational models.

Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.

How we work

High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.

AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.

Excellence everywhere: Everything we do should match the quality of our AI models.

Global team: We prioritize your talent, not your location.

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.

Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.

Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.

Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.

Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún

Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

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, with the ability to operate in GMT and GMT+1 timezones. If you prefer, you can work from our offices in London and Warsaw.

#LI-Remote

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT CRM Data Analysis Finance MySQL Python Mid level

Likely questions

  1. Tell us about work you have done that is close to the Analytics Engineer role.
  2. How would you approach your first 30 days at Elevenlabs?
  3. Which of CRM, Data Analysis and Finance have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with CRM, Data Analysis and Finance.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Analytics Engineer role because I can bring practical experience in CRM, Data Analysis and Finance, learn the team quickly, and contribute to the outcomes Elevenlabs needs from this hire.

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