We're looking for an Analytics Engineer to own the data foundation that powers marketing decisions at Lovable, designing event tracking, building data models, and ensuring trustworthy data for analysis.
Requirements
- Familiarity with marketing data: UTM structures, attribution concepts, ad platform data quirks
- Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs)
- Understanding of dimensional modeling, data contracts, and metrics/semantical layers
- Hands-on experience with data transformation tools (SQLMesh, dbt, or similar)
- Understanding of event collection systems (RudderStack, Segment, Snowplow, GA4)
- Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc)
- Strong business acumen and ability to translate domain logic into scalable data structures
Benefits
- We value extreme ownership, high velocity and low-ego collaboration
- We seek out people who care deeply, ship fast, and are eager to make a dent in the world