Senior Analytics Engineer
New
P
PrefectData Automation
All other U.S. metrosFull-TimeSenior
Salary$154K - $222K
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Job Details
- Experience
- Four or more years
- Required Skills
- PythonSQLSalesforceHubSpotdbtLooker
Requirements
- Four or more years building analytics models in dbt on a cloud warehouse.
- Experience owning models in production with tests, CI, and version control.
- Strong SQL skills.
- Python proficiency for API pulls, spend data, and one-off enrichment.
- Experience building and maintaining a semantic layer in Omni, Looker, or similar.
- Experience with GTM funnel conversion, attribution, and unit economics (CAC, payback, ROI).
- Direct experience working with CRM systems like Salesforce or HubSpot.
- Prior knowledge of GTM tools including Amplitude or Segment.
- Experience working with product-led or self-serve business models.
- Background in engineering or data with experience reading and deploying code.
- Comfort with AI-native development.
Responsibilities
- Own the go-to-market data model with version controlled, tested, and documented definitions.
- Model the self-serve funnel end-to-end from visit through activation and paid conversion.
- Model the sales funnel end-to-end including stage conversion and velocity using Salesforce data.
- Build multi-touch attribution models to guide marketing and sales strategy.
- Develop unit economics including CAC, LTV/CAC, and ROI by channel and segment.
- Ship reporting layers and dashboards to enable GTM teams to answer their own questions.
- Help define the go-to-market rhythm through pipeline reviews and board reporting.
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