Related skills
snowflake sql dbt airbyte prefect📋 Description
- Own and evolve Semantic Layer (dbt + Omni) for actionable insights.
- Build benchmarking datasets for KPIs like acquisition and retention.
- Power AI analytics with datasets for conversations and recommendations.
- Lead Revenue Reconciliation & Operations data governance to unblock reports.
- Partner with BizOps to establish correlation metrics for sales.
🎯 Requirements
- Strong data modeler with deep dbt and SQL; builds clean, scalable models.
- Bridges engineering and business; comfortable with KPIs and SQL/Python when needed.
- 3–6 years in analytics engineering; healthcare or vertical SaaS data preferred.
- AI-curious; familiarity with Cursor, Claude Code, or similar is a plus.
- Clear communicator who translates data into business recommendations.
- Early/foundational data hire ready for ownership.
🎁 Benefits
- You set the standard and build the foundation.
- Data architecture competitors can't match.
- A true partner, not a ticket queue; dedicated BizOps Manager.
- Descriptive today, prescriptive by year one; 9-month milestone.
- Modern stack: Snowflake, dbt, Omni, Airbyte, Prefect, GitHub, Claude Code, Cursor.
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