Analytics Engineer

Job not on LinkedIn

🕒 October 6

🌐 Poland, United Kingdom – Remote

🇵🇱 Poland – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ElevenLabs

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

📱 Media

💰 $19M Series A on 2023-06

Artificial Intelligence • Media

ElevenLabs is a research lab dedicated to exploring new frontiers in voice generation. Their mission focuses on making content universally accessible in any language and voice. Through innovative research and deployment of novel methods in voice AI, ElevenLabs aims to enhance the enjoyment of content for diverse audiences and viewers.

📋 Description

• Own the transformation layer between raw data and business decisions • Model data in dbt • Define certified metrics used across the company • Set standards for analysts and data scientists • Drive implementation of a world-class metric layer, including modelling conventions, project structure, testing, CI, and documentation • Design and maintain certified KPI layers for product, finance, and company-wide topics • Build KPI layers robust enough to withstand audit scrutiny • Partner with Data Engineering on evolving data warehouse architecture • Partner 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 • Strong grasp of dimensional modelling, grain, and incremental patterns • Proficiency across the modern data stack, including BigQuery or similar warehouse, Python, and BI tools such as Looker • Rigour around data quality, including testing, documentation, and reconciliation • Ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models • Experience modelling billing, subscription and ARR data or product event data at scale is a bonus • Experience serving data to LLM-based agents or building semantic/metrics layers consumed by AI tools is a bonus • Experience with CI for data and infrastructure-as-code for warehouse access is a bonus • Ability to operate in GMT and GMT+1 timezones

🏖️ Benefits

• Annual discretionary professional development stipend • Annual discretionary stipend for social travel to meet colleagues • Annual company offsite • Monthly co-working stipend for employees not located near a main hub • Option to work from offices in London and Warsaw