[All remote jobs](https://jobicy.com/jobs.md)[![Elevenlabs logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/e01b4c5d-221.png)](https://jobicy.com/company/elevenlabs.md)[Elevenlabs](https://jobicy.com/company/elevenlabs.md) # Analytics Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/elevenlabs.md)ShareRemote from[Europe](https://jobicy.com/job-region/europe.md)SalaryUndisclosedDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceOpen levelPublished1 Nov 2026Apply before1 Dec 2026Listing views45Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. ElevenLabs is hiring an experienced Analytics Engineer to establish the transformation and certified metrics layer for a growing Data team. The role centers on building scalable dbt models, defining trusted product, finance, and company KPIs, and enforcing standards for testing, CI, and documentation. The engineer will partner with Data Engineering and business stakeholders to turn ambiguous questions into reusable, audit-ready data products. Strong expertise in advanced SQL, dimensional modelling, dbt, BigQuery-like warehouses, Python, and BI tools is required. This is a high-autonomy, high-velocity remote role available across Europe in GMT to GMT+1 time zones. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is an early Data-team role requiring ownership of foundational metric definitions and data-modelling practices across the company. It demands deep technical judgment as well as the ability to resolve ambiguous stakeholder needs into reliable, governed data products. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$160,000US market range (per year)$130k–$200k0$220.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence and USD market estimate are inferred for an experienced Analytics Engineer building a company-wide dbt and metrics foundation; actual compensation may vary by European hiring country, employment arrangement, and equity package. ## Core skills Skills and capabilities most closely associated with this opportunity. [dbt](https://jobicy.com/jobs?search_keywords=dbt.md)[Advanced SQL](https://jobicy.com/jobs?search_keywords=Advanced%20SQL.md)[Dimensional modelling](https://jobicy.com/jobs?search_keywords=Dimensional%20modelling.md)[Data modelling](https://jobicy.com/jobs?search_keywords=Data%20modelling.md)[BigQuery](https://jobicy.com/jobs?search_keywords=BigQuery.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Looker](https://jobicy.com/jobs?search_keywords=Looker.md)[Metrics layer design](https://jobicy.com/jobs?search_keywords=Metrics%20layer%20design.md)[Data quality testing](https://jobicy.com/jobs?search_keywords=Data%20quality%20testing.md)[Data documentation](https://jobicy.com/jobs?search_keywords=Data%20documentation.md)[Continuous integration](https://jobicy.com/jobs?search_keywords=Continuous%20integration.md)[Data warehousing](https://jobicy.com/jobs?search_keywords=Data%20warehousing.md)[KPI development](https://jobicy.com/jobs?search_keywords=KPI%20development.md)[Stripe data modelling](https://jobicy.com/jobs?search_keywords=Stripe%20data%20modelling.md)[Salesforce data modelling](https://jobicy.com/jobs?search_keywords=Salesforce%20data%20modelling.md) Sample interview questionsHow would you design a certified metric layer for activation, retention, billing, and ARR?I would first align metric definitions, grain, owners, and source-of-truth systems with stakeholders. I would implement reusable dbt models and semantic definitions, add tests for uniqueness, completeness, and reconciliations, and document assumptions so the same metrics are consistently consumed across BI and downstream applications. How do you prevent a dbt model that passes technical tests from being analytically incorrect? I combine structural tests with business-level reconciliation. For example, I compare modeled revenue and subscriber counts against finance-approved reports, validate cohort behavior over time, inspect source-to-target row-level samples, and define alerting for material variances. Describe your approach to dimensional modelling for subscription and billing data. I would establish clear grains for subscriptions, invoices, invoice line items, payments, and customer accounts. Facts would retain immutable transactional detail, while conformed dimensions would support consistent customer, product, plan, and time analysis; ARR and MRR would be modeled as explicitly defined periodic snapshots rather than inferred inconsistently in every report. How would you manage ambiguous stakeholder requests for a new KPI? I would clarify the decision the metric must support, identify the relevant population, time window, event definitions, and exclusions, then propose a written definition with examples. If trade-offs exist, I would explain them, secure alignment on the intended interpretation, and build a documented reusable model instead of a one-off query. What would an effective CI workflow for a growing dbt project look like? I would use pull-request checks that run linting, compile validation, targeted Slim CI builds, and tests for changed models plus their dependencies. The workflow should also enforce documentation, monitor source freshness, protect production deployments, and include controlled access and PII tagging where needed. Opportunity details ## About this 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. Show more [Apply now >](https://jobicy.com/jobs/158351-analytics-engineer-6.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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