Senior Analytics Engineer
Remote$154k - $222kFull-timePosted 1mo ago
About the role
Role focused on analytics and data modeling for go-to-market (GTM) across Prefect Cloud and Dagster+. Own the GTM data model, end-to-end funnels (self-serve and sales), attribution, unit economics, and the go-to-market reporting layer. Collaborative, remote-first role reporting to Chief Growth Officer.
Responsibilities
- 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+.
- Model the sales funnel end to end, from source through MQL, SQL, pipeline, and closed won, including stage conversion and velocity, using Salesforce data as it actually is rather than as the schema claims.
- Build attribution that marketing and sales both accept. First touch, last touch, and multi-touch model, with documented assumptions.
- Build the unit economics. CAC and payback by channel and segment, LTV/CAC, ROI on campaigns and events, self-serve vs sales-assisted.
- Ship the reporting layer so GTM teammates answer their own questions; two Omni instances, one per product; Looker experience required.
- Help set the go-to-market rhythm with pipeline reviews, weekly funnel meetings, and board reporting.
Qualifications
- 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 Python for API pulls, spend data, and enrichment.
- Experience building and maintaining a semantic layer in Omni, Looker, or similar; ability to model metrics for others to use.
- Direct work with go-to-market teams on funnel conversion, attribution, and unit economics using Salesforce or HubSpot data.
- Prior knowledge of GTM systems like Salesforce, Amplitude, Segment, HubSpot.
- Product-led or self-serve business experience including activation, trial conversion, PQLs, usage-based revenue.
- Engineering or data background with code writing and deployment capabilities.
- Comfort with AI-native development.
Skills
Required:dbtSQLPythonSemantic modeling / semantic layer
Benefits
- Remote-first team with flexible-first culture
- Equity Stock Options
- 401(k) with 5% company match (vests immediately!)
- Unlimited PTO
- Medical, Dental and Vision insurance
- Generous Parental Leave
- Life Insurance and Disability benefits
- $800/month remote work stipend
Last updated Sep 9, 2026. Interested? Apply on the company site.
About Prefect
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