Analytics Engineer
Pubblicato il 02-10-2026 - Lexroom in Milano
At Lexroom.ai , 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.ai ?
- 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.ai, 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.
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