Senior Analytics Engineer

The role

You will own the analytics and data modeling for go-to-market to describe the customer journey from first touch to paying customer. You will work with marketing, sales, RevOps, and product to build data models, attribution, and unit economics.

What you will do

• Own the go-to-market data model.
• Model the self-serve funnel end to end.
• Model the sales funnel end to end.
• Build attribution that marketing and sales both accept.
• Build the unit economics.
• Ship the reporting layer.
• Help set the go-to-market rhythm.

Required 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.
• Enough Python for API pulls, spend data, and one-off enrichment.
• Experience building and maintaining a semantic layer in Omni, Looker, or something comparable.
• Direct work with go-to-market teams on funnel conversion, attribution, and unit economics 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 experience including activation, trial conversion, PQLs, and usage-based revenue.
• A background in engineering or data, meaning you write code, read other people's code, and deploy your own work.
• Comfort with AI-native development.

Nice to have

• Product analytics tools, especially Amplitude.
• Developer tools or open source.

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

About the company

Prefect builds automation for an unpredictable world. Their ecosystem includes Dagster, Prefect, and FastMCP.