Senior Analytics Engineer

📋 Description

• Own and continuously improve the go-to-market data model, establishing consistent definitions for
• Build production-grade analytics models in dbt with appropriate testing, documentation, CI, version
• Model the complete self-serve funnel, from first website interaction through signup, activation
• Develop comparable cohorts and funnel reporting that clearly identifies conversion drop-offs and
• Model the sales funnel from acquisition source through MQL, SQL, pipeline, and closed-won, using
• Build and maintain attribution models spanning first-touch, last-touch, and multi-touch approaches

🎯 Requirements

• 4+ years of experience building and maintaining analytics models in dbt on a cloud data warehouse
• Strong SQL skills and practical Python experience for API pulls, data ingestion, enrichment, and
• Experience building and maintaining a semantic layer in Omni, Looker, or a comparable analytics
• Direct experience partnering with go-to-market teams on funnel conversion, attribution, unit
• Hands-on experience working with CRM data from Salesforce, HubSpot, or comparable systems.
• Familiarity with go-to-market technology ecosystems including Salesforce, Amplitude, Segment

🎁 Benefits

• Competitive location-based base salary: $173,000–$222,000 for the San Francisco Bay Area and NYC
• Equity stock options.
• 401(k) plan with a 5% company match, with immediate vesting.
• Unlimited paid time off.
• Medical, dental, and vision insurance.
• Generous parental leave.