Position Details
About this role
Staff Analytics Engineer leading the analytics data layer and AI-powered analytics systems; responsible for scalable datasets, semantic layer, and data quality across product, GTM, Finance, and Operations.
Key Responsibilities
- Own and evolve a tool-agnostic analytics layer powering business decisions
- Partner with analysts and stakeholders to define metrics and enable self-service analytics
- Drive data quality, testing, and validation frameworks
- Build data products and AI-powered analytics systems
- Collaborate with analysts, product, and business leaders to deliver insights
Technical Overview
Stack includes dbt, Snowflake, SQL, Python, Airflow; emphasis on data modeling, semantic layer design, and multi-tenant architectures to support enterprise analytics.
Ideal Candidate
The ideal candidate is an senior analytics engineer with 8+ years building data platforms; expert in dbt, Snowflake, SQL, Python, and Airflow; experienced delivering large-scale analytics initiatives and data products in a SaaS environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 8 years of analytics engineering experience, Lack of experience with Snowflake or SQL, Inability to design multi-tenant data architectures
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