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looker snowflake sql dbt data warehousing📋 Description
- Own semantic layers and data models for analytics.
- Define metrics across Finance, Product, Marketing, and Ops.
- Partner with data engineering to connect raw data via dbt or similar.
- Build AI-powered analytics roadmap and expose semantic layer to AI models.
- Improve self-service with intuitive data structures and reusable views.
- Mentor analysts and analytics engineers on data modeling.
🎯 Requirements
- 6+ years in analytics/BI/data engineering on a modern cloud data warehouse.
- Expert-level SQL for clear, reusable, scalable models.
- Experience with Snowflake, dbt, Dagster, Looker.
- BI tools experience including semantic layer design and AI analytics enablement.
- Strong dimensional modeling and data warehousing fundamentals.
- Balance technical rigor with business impact; intuitive models.
🎁 Benefits
- High-impact analytics foundations guiding decisions.
- Shape data understanding across the company.
- Mission-driven culture focused on safer experiences.
- Autonomy to own initiatives and mentor others.
- Culture of curiosity, iteration, and feedback.
- Comprehensive benefits including healthcare and 401k.
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