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.

Requirements

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.

Benefits

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdbtBigQuerySnowflakeRedshiftdimensional modelingdata testingdocumentation-as-codePythonETL

Soft Skills

collaborationcommunicationanalytical thinkingproblem-solvingstakeholder management