Analytics Engineer

• Assess the Databricks estate, define trust levels, and propose owners for each source and table
• Build and version silver-to-gold dbt transformations using dimensional modelling and a semantic layer
• Design point-in-time dimensions that preserve history
• Design and roll out an event taxonomy and naming convention with engineering
• Own the metric catalog and sign-off process
• Build activation, engagement, and retention models
• Build semantic models and documentation for self-service analytics
• Set data quality standards and incorporate sign-off into a Definition of Done gate
• Monitor instrumentation to identify issues early
• Partner with product teams so measurement informs feature development
• Collaborate with the data engineer, product stakeholders, business stakeholders, PMs, designers, and engineers
• Report to the Product Data Lead

Explore Analytics Engineer at GoodHabitz. Review requirements and application details.