LiveKit is hiring our first Analytics Engineer to build the foundational data practice for the company. You will transform business concepts into robust data models, create actionable KPIs, and empower data-driven decision-making across our fast-growing organization.

What You'll Do

Use AI coding assistants extensively and evolve AI development workflows, including creating reusable skills and establishing quality checks.
Memorialize business logic with stakeholders and create trusted metrics.
Create clear documentation that serves both human users and AI systems.
Follow engineering best practices including PR reviews, automated testing, and production-grade standards.
Work at a startup pace, adapting quickly to shifting priorities and rapid iteration.

What We're Looking For

8+ years of 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 the US or Canada.