What You'll Do
Design and manage the transformation of raw data into well-structured, documented datasets using dbt on BigQuery. Implement a layered architecture that supports staging, intermediate processing, and business-ready data marts.
Model key product events—including user interactions, feature usage, and feedback signals—alongside engineering and business KPIs to enable consistent, self-serve analytics. Ensure datasets are reliable, well-tested, and accessible to cross-functional teams.
Establish data quality standards through automated testing, freshness monitoring, anomaly detection, and clear ownership models with defined SLAs. Work with engineering teams to improve source-level tracking and define robust data contracts via Pub/Sub and application events.
Develop semantic layers and dashboards that allow Product, Customer Success, and Sales teams to independently explore data. Partner with the AI & Search Platform team to track model performance, feedback loops, and benchmark outcomes. Provide analytical support for feature evaluations, user segmentation, and behavioral deep dives.
Requirements
- Minimum of 3 years in analytics engineering, data engineering, or data analysis with a strong technical foundation
- Advanced proficiency in SQL and hands-on experience with dbt (Core or Cloud)
- Proven track record working with BigQuery or similar cloud data platforms like Snowflake or Redshift
- Solid grasp of dimensional modeling, data testing strategies, and documentation-as-code principles
- Experience writing Python scripts for ETL, automation, or exploratory analysis
- Background building reusable data models for diverse stakeholders across product, engineering, and business functions
- Fluent in English
Benefits
- Hybrid Work: Balance remote flexibility with in-person collaboration at our Milan office
- Health Insurance: Full coverage to support your well-being
- Meal Vouchers: Daily allowance to ease lunchtime logistics
- Performance Bonuses: Financial recognition tied to clear, measurable outcomes
- Team Retreats & Off-sites: Time dedicated to connection, collaboration, and strategic thinking
