Key skills
dbtSQLPythonBI platformsanalytics engineeringself-directedcommunication skillsadaptableAIAnalyticsBIGitGitHubCI/CDChange ManagementCommunicationDecision Making
About this role
LiveKit is building the infrastructure layer for the voice-driven era of computing, and they are seeking their first data hire to establish the foundation of their analytics practice. The role involves translating business concepts into robust data models, creating actionable KPIs, and enabling data-driven decision making across the organization.
Responsibilities:
- You'll be expected to use AI coding assistants extensively and evolve our AI development workflows. This includes creating reusable skills, establishing quality checks, and documenting processes that work for both humans and AI agents
- Resist the urge to over-engineer. Get core business metrics right and adopted before expanding. We value working models over perfect architectures
- You'll spend significant time with stakeholders memorializing business logic and creating trusted metrics. Building relationships and business expertise is as important as technical execution
- Everything you build needs clear documentation that serves both human users and AI systems
- This role reports into Engineering and follows eng best practices. Expect PR reviews, automated testing, and production-grade standards
- Priorities shift quickly. What you're building tomorrow might differ from today. Comfort with ambiguity and rapid iteration is essential
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
- Located in US or Canada
- 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