Analytics Engineer
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Job Description
Analytics Engineer establishing the foundation of analytics practice for LiveKit's AI-driven platform. Collaborating with stakeholders to create data models and enable metrics-driven decision making.
Responsibilities:
- 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
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