HubSpot is an AI-powered customer platform that helps organizations grow better. The Analytics Engineer will contribute to building a scalable data foundation that supports analytics and internal reporting, working closely with senior team members to create reliable data models and datasets.
Responsibilities:
- Build and maintain scalable data models in dbt that support reporting and analysis across Company Pillar teams
- Develop well-structured, reusable datasets in Snowflake
- Build and maintain reporting assets in Looker to enable self-serve analytics
- Support internal teams by improving data definitions, reliability, and usability
- Assist with root-cause analysis of data issues and implement sustainable fixes
- Strengthen documentation around data models, definitions, and requirements
- Grow your analytics engineering toolkit through peer collaboration and learning within HubSpot’s AE community
Requirements:
- 1+ years of hands-on SQL experience
- Strong understanding of relational databases and data modeling
- Hands-on experience using dbt to create data pipelines
- Ability to write and maintain clear technical documentation
- Strong problem-solving skills and curiosity to learn new tools and business domains
- Experience with Snowflake, dbt, and/or Looker is a plus