Analytics Engineer

• 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 instrument and measure model performance, feedback loops, and benchmark results.

• Support Product teams with ad-hoc analysis: feature impact, user segmentation, satisfaction trends, and power-user behavior.

What You'll Bring

• 3+ years of experience in analytics engineering, data engineering, or a data analyst role with a strong engineering mindset.

• Expert SQL skills and hands-on experience with dbt (dbt Core or dbt Cloud).

• Solid experience with BigQuery or comparable cloud data warehouses (Snowflake, Redshift).

• Strong understanding of dimensional modeling, data testing, and documentation-as-code practices.

• Comfortable working in a Python ecosystem (scripting, basic ETL, notebooks for exploration).

• Experience building data models that serve multiple stakeholders (product, engineering, business).

• Fluent English; Italian is a strong plus.

Nice to Have

• Experience with event-driven architectures (Pub/Sub, Kafka) and streaming data.

• Familiarity with Elasticsearch, Pinecone, or vector databases.

• Exposure to engineering metrics (DORA, PR analytics) or developer productivity measurement.

• Experience with BI/visualization tools (Retool, Looker Studio, Metabase).

• Interest in AI/ML model evaluation and LLM output quality measurement.

• Previous experience in legal-tech, RegTech, or B2B SaaS.

Benefits That Matter

• Hybrid Work: Flexibility to balance remote work with in-person collaboration at our Milan HQ.

• Health Insurance: Comprehensive coverage to ensure peace of mind.

• Meal Vouchers: Daily support to make your lunch breaks easier.

• Performance Bonuses: Rewards tied directly to measurable results.

• Team Retreats & Off-sites: Dedicated time to connect, collaborate, and spark bold ideas.

At Lexroom, ambition meets discipline and purpose. We're not just building a product—we're setting a new standard for the legal world. If you're ready to contribute to something lasting and meaningful, we'd love to hear from you.