Staff Analytics Engineer

What this role involves

This Staff Analytics Engineer role at HubSpot involves building and optimizing data pipelines for scale, designing semantic models for analytics and AI consumption, and developing internal AI agents and tooling. The position is part of the Data & AI Foundations team and requires expertise in modern data tools like Snowflake, dbt, and Looker, as well as experience with AI-assisted development. The role focuses on creating flexible, reusable data architecture and advancing the analytics engineering team's capabilities through automation and best practices.

Skills this posting asks for

• snowflake
• dbt
• looker
• sql
• data modeling
• etl
• elt
• data transformation
• dbt macros
• dbt packages
• scd tables
• github enterprise cloud
• claude code
• mcp servers
• semantic models
• monte carlo
• hex
• ai agents
• agentic pipeline

Requirements

• Level: staff

From the employer’s posting

HubSpot's mission is to Help Millions of Organizations Grow Better. HubSpot's Operations team is core to this goal by supporting the HubSpotters who drive growth and serve HubSpot's customers. Our goal in Operations is to embed advanced analytics and algorithmic intelligence into the DNA of deci…