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 adoption
- Define and maintain core product metrics and ensure they're modeled cleanly and reliably
- Analyze user journeys to identify friction, improve activation, and drive growth
- Respond to one‑off customer analysis requests by delivering custom solutions and insights
- Conduct customer‑level and segment analyses to support sales, marketing, and customer success
- Partner with engineers to instrument events, maintain data ingestion pipelines, and uphold high data quality
What We Expect from You
- Fluency in SQL and experience with Python
- Experience working on product analytics including funnels, retention, user journeys, and activation
- Strong data modeling skills and a clean approach to defining metrics
- Experience at a B2B SaaS or product‑focused company
- 3 or more years in analytics, data, or product roles focused on user behavior and product usage
- Strong product sense and ability to turn data into clear insights for product and go to market teams
- A sense of ownership and accountability for data quality and reliability
What You'll Get Out of It
- Ownership of the entire product analytics function at an early stage company
- A key role in shaping how we measure usage and make product decisions
- Close collaboration with product, engineering, and go to market teams
- A fast paced environment with a lot of trust and autonomy
- Competitive compensation and meaningful equity
