Analytics Engineer - dbt Metrics Lead (Remote)

Speedrun Talent Network; Polska; Hybrid; PLN 330,000 - 484,000; Full time

Job summary

ElevenLabs is seeking an experienced Analytics Engineer to join its 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, and setting standards for analysts and data scientists.

You will drive the implementation of a world-class metric layer, design the KPI layer for product, finance, and company-wide topics, and collaborate with Data Engineering to evolve the warehouse

Qualifications

• Demonstrated experience building and scaling a dbt project and metrics layer, ideally as one of the first analytics engineers on a growing team.
• 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.

Responsibilities

• 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.

Skills

dbt

SQL

Data modeling

Python

Looker

BigQuery

Tools

BigQuery

Looker

Python

CI for data

Job description

ElevenLabs is seeking an experienced Analytics Engineer to join its 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, and setting standards for analysts and data scientists.

You will drive the implementation of a world-class metric layer, design the KPI layer for product, finance, and company-wide topics, and collaborate with Data Engineering to evolve the warehouse