# Senior Analytics Engineer at Prefect

- Company: Prefect
- What the company does: Orchestrate workflows with Prefect. Connect AI agents to your tools and data with Horizon. Open-source foundations, production-ready platforms. Backed by Bessemer.
- Company website: https://www.prefect.io
- Type: Startups
- Level: Senior
- Location: Remote
- Work setup: Remote
- Pay: $154K to $222K base salary per year (USD)
- Posted: 2026-09-02
- Apply by: 2026-10-17
- Apply: https://jobs.ashbyhq.com/prefect/d68d4231-c5f0-41e2-820a-9a5a9344ff6e
- Page: https://www.1752.vc/careers/jobs/prefect-senior-analytics-engineer/

## About the role

Own the go-to-market data model. One definition of an account. One definition of an activated workspace. One definition of pipeline. Version controlled, tested, documented, and deployed by you. Model the self-serve funnel end to end , from first visit through signup, activation, paid conversion, and expansion, for both Prefect Cloud and Dagster+. Make the drop-off points visible and the cohorts comparable.

## What they're looking for

- Four or more years building analytics models in dbt on a cloud warehouse, owned in production with tests, CI, and version control
- Strong SQL, plus enough Python for the parts SQL is bad at: API pulls, spend data, one-off enrichment
- Experience building and maintaining a semantic layer in Omni, Looker, or something comparable. We care that you have modeled metrics for other people to use, not that you have built dashboards
- Direct work with go-to-market teams on funnel conversion, attribution, and unit economics like CAC, payback, and ROI, using real CRM data from Salesforce or HubSpot
- Prior knowledge of GTM systems like Salesforce, Amplitude, Segment, Hubspot
- A product-led or self-serve business: activation, trial conversion, PQLs, usage-based revenue

Tags: Growth