Analytics Engineer: Data Mastery for Legal AI — Hybrid

Lexroom Srl; Milano; Hybrid; EUR 45,000 - 70,000; Full time

Benefits offered by this job

Hybrid Work (Milan HQ)

Health Insurance

Meal Vouchers

Performance Bonuses

Team Retreats

Job summary

Lexroom.ai is hiring an analytics engineer to build the foundation of our analytics function from scratch. You’ll own the data transformation layer, model events, and power dashboards across Product, CS, and Sales.

You’ll work with a modern stack (BigQuery, dbt, Pub/Sub, Python) and collaborate with executive sponsors to drive measurable impact from day one. This role offers hybrid work at our Milan HQ and a competitive salary.

Qualifications

• 3+ years of analytics engineering, data engineering, or a data analyst role with an engineering mindset.
• Expert SQL skills and hands-on experience with dbt (dbt Core or dbt Cloud).
• Solid experience with BigQuery or comparable 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.

Responsibilities

• Own the data transformation layer from raw sources to trusted datasets—designing and maintaining a dbt project on BigQuery with staging, intermediate, and mart layers.
• Model product analytics events, engineering metrics, and business KPIs into reliable, self-service data models.
• Build and maintain the data foundations powering 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.

Skills

SQL

dbt

BigQuery

Dimensional modeling

Python

Stakeholder management

English proficiency

Tools

Pub/Sub

Elasticsearch

Pinecone

Looker Studio

Metabase

Job description

Lexroom.ai is hiring an analytics engineer to build the foundation of our analytics function from scratch. You’ll own the data transformation layer, model events, and power dashboards across Product, CS, and Sales.

You’ll work with a modern stack (BigQuery, dbt, Pub/Sub, Python) and collaborate with executive sponsors to drive measurable impact from day one. This role offers hybrid work at our Milan HQ and a competitive salary.