Establish the foundation of LiveKit's analytics practice
Translate business concepts into robust data models
Create actionable KPIs
Enable data-driven decision making across the organization
Use AI coding assistants extensively and evolve AI development workflows
Resist the urge to over-engineer
Spend significant time with stakeholders to memorialize business logic and create trusted metrics
Ensure everything built needs clear documentation for users and AI systems
Follow engineering best practices with PR reviews and automated testing
Comfort with ambiguity and rapid iteration

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

Benefits

Competitive salary and equity package
Health, dental, and vision benefits
Flexible vacation policy

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

analyticsanalytics engineeringdbtdata modelingSQLPythonBI platformsautomated testingGit workflowsCI/CD

Soft Skills

communicationself-directedadaptablestakeholder engagementdecision makingdocumentationcomfort with ambiguitypragmatic problem solvingcollaborationorganizational skills