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Analytics Engineer

Pubblicato il 04-10-2026 - Lexroom in Milano

At Lexroom, we set the bar for legal AI—clear, fast, and built for trust.
In just a few years, what began as an idea has become a reliable platform adopted by thousands of legal professionals across Europe.
Our mission is clear: make the law faster, clearer, and more reliable, giving lawyers, law firms, and companies the time and confidence to focus on what truly matters.
We're scaling rapidly, backed by top-tier investors and a world-class team dedicated to rigor, clarity, and impact.
Today, Lexroom is a trusted partner, shaping the future of legal AI with discipline and purpose.
Why Lexroom?
Shape the Standard: Be part of the team setting the benchmark for legal AI in Europe.
Work with the Best: Collaborate with exceptional colleagues in a culture that values competence, curiosity, and ambition.
Deliver Meaningful Results: Your work will directly influence how legal professionals operate—faster, clearer, and more efficiently.
At Lexroom, we leave buzzwords behind. Here, you'll build something that lasts: a trusted platform, a strong reputation,



a new standard for the legal world.
What You'll Do
Own the data transformation layer from raw sources to trusted, documented datasets—designing and maintaining a dbt project on BigQuery with staging, intermediate, and mart layers.
Model product analytics events (user interactions, feature adoption, feedback signals), engineering metrics, and business KPIs into reliable, self-service data models.
Build and maintain the data foundations powering our dashboards, decisions, and team health metrics.
Implement data quality frameworks: tests, freshness checks, anomaly detection, and clear ownership and SLAs on key datasets.
Collaborate with engineers to improve event tracking and data contracts at the source (Pub/Sub, application events).
Create and curate dashboards and semantic layers that Product, CS, and Sales teams can query directly—enabling true self-service analytics.
Partner with the AI & Search Platform team to instrumen

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