Senior Analytics Engineer
Core
Own the go-to-market data model and analytics for a SaaS platform (Prefect Cloud and Dagster+), defining metrics for self-serve and sales funnels, attribution, and unit economics.
Role type
Senior Analytics Engineer (Go-to-Market)
Builds
Production data models, semantic layers, and reporting dashboards for GTM teams.
Domain
SaaS / Product-Led Growth / Data Engineering
Required skills
dbt, SQL, Python, semantic layer modeling, funnel analysis, attribution modeling, unit economics (CAC/LTV/ROI), Salesforce data modeling, cloud warehouse management
Preferred skills
Amplitude, Segment, HubSpot, Looker, Omni, open-source developer tools
Technologies
dbt, SQL, Python, Salesforce, Amplitude, Segment, HubSpot, Looker, Omni, cloud warehouses
Responsibilities
Own the GTM data model with version control and testing; model self-serve and sales funnels end-to-end; build multi-touch attribution models; calculate unit economics and campaign ROI; ship reporting layers for autonomous team insights; define metrics for pipeline reviews and board reporting.
Seniority
Senior, hands-on IC