Senior Analytics Engineer, Product

Build scalable dbt pipelines and semantic models to turn product events into reliable analytics.

• •The Senior Analytics Engineer for Product will design event data models and build reliable dbt pipelines to turn raw events into analytics-ready assets that inform company-wide decisions.
• •Key Responsibilities Design and build scalable data models and pipelines using dbt.
• •Define and implement a semantic layer (LookML/Omni/other) for standardized metrics.
• •Partner cross-functionally to deliver dashboards and analytical tools.
• •Own product event tracking strategy, naming, identity resolution, and documentation.
• •Establish data modeling standards, testing, and documentation best practices.
• •Requirements 5+ years in analytics/data engineering roles.
• •Deep expertise in SQL, dbt, Python, and Snowflake.
• •Experience with BI tools like Looker/Omni or similar.
• •Experience modeling high-volume, semi-structured product event data.