Analytics Engineer — Hybrid Legal AI Data Platform

Lexroom.ai is building a premier analytics function in Milan, delivering trusted data foundations to power product, engineering, and business decisions. You will own the transformation layer, model key metrics, and create self-service dashboards, enabling teams to act on data with confidence.

As the first dedicated analytics hire, you will shape the stack (BigQuery, dbt, Pub/Sub, Python) and work with executive sponsorship to drive measurable impact in a fast-growing legal-tech company.

Own the data transformation layer from raw sources to trusted datasets using dbt on BigQuery. Model analytics events, engineering metrics, and business KPIs into self-service data models. Build and maintain dashboards and semantic layers for Product, CS, and Sales teams. Implement data quality frameworks with tests, freshness checks, and SLAs. Collaborate with engineers to improve event tracking and data contracts at source. Instrument and measure model performance with AI & Search Platform teams. Provide ad-hoc analyses on feature impact and user behavior. 3+ years of analytics engineering, data engineering, or data analyst with engineering mindset. Advanced SQL skills and hands-on dbt experience. Strong BigQuery or comparable cloud data warehouse experience. Solid understanding of dimensional modeling, data testing, and docs-as-code. Proficient in Python for scripting and lightweight ETL. Experience delivering data models for multiple stakeholders (product, engineering, business). Fluent English; Italian is a strong plus. Hybrid Work Health Insurance Meal Vouchers Performance Bonuses Team Retreats & Off-sites