Requirements
- 8+ years experience in analytics or analytics engineering
- Deep expertise with dbt: data modeling, testing, documentation, project architecture, and establishing best practices
- Strong experience implementing and scaling BI platforms (Lightdash, Sigma, Omni, Hex, or similar)
- Proven ability to work directly with business stakeholders to define metrics and requirements
- Experience building analytics practices in startup or high-growth environments
- Strong SQL and Python skills
- Comfortable with software engineering practices: Git workflows, CI/CD, code review, change management
- Self-directed and adaptable—able to switch between building for the long-term and pragmatic short-term solutions
- Strong communication skills for both technical and non-technical audiences
Nice to Have
- Experience with Lightdash or BI-as-code platforms
- Background with AI coding agents (Claude Code, GitHub Copilot, Cursor)
- Prior experience as an early data hire (first 1-3 on the team)
- Understanding of modern data stack and lakehouse concepts
Benefits
- Competitive salary and equity package
- Health, dental, and vision benefits
- Flexible vacation policy
