A fast moving AI startup is building tools that help companies better understand and manage their AI presence. They are hiring an Analytics Engineer to lay the foundation for product analytics, defining success metrics, mapping the user journey, and uncovering insights that guide product decisions. This role is central to helping the team understand what drives engagement, identify drop off points, and continuously improve the platform's value for users.
What You'll Do
Build and maintain dashboards to track product usage, funnels, retention, activation, user journey paths, and feature adoptionDefine and maintain core product metrics and ensure they're modeled cleanly and reliablyAnalyze user journeys to identify friction, improve activation, and drive growthRespond to oneoff customer analysis requests by delivering custom solutions and insightsConduct customerlevel and segment analyses to support sales, marketing, and customer successPartner with engineers to instrument events, maintain data ingestion pipelines, and uphold high data qualityWhat We Expect from You
Fluency in SQL and experience with PythonExperience working on product analytics including funnels, retention, user journeys, and activationStrong data modeling skills and a clean approach to defining metricsExperience at a B2B SaaS or productfocused company3 or more years in analytics, data, or product roles focused on user behavior and product usageStrong product sense and ability to turn data into clear insights for product and go to market teamsA sense of ownership and accountability for data quality and reliabilityWhat You'll Get Out of It
Ownership of the entire product analytics function at an early stage companyA key role in shaping how we measure usage and make product decisionsClose collaboration with product, engineering, and go to market teamsA fast paced environment with a lot of trust and autonomyCompetitive compensation and meaningful equity