Analytics Engineer

HubSpot

8h

About The Position

HubSpot’s mission is to Help Millions of Organizations Grow Better. Our Operations team supports the internal teams that power HubSpot — including HR, Recruiting, Finance, Legal, L&D, and Workforce Planning.
Within Operations, the Data, Systems & Intelligence team builds and maintains the modern data foundation that enables effective decision-making across our corporate functions. Flexible, well-connected, well-architected data are the backbone of our strategy, and our Analytics Engineers play a critical role in building and maintaining that foundation.
We believe in the power of data to drive operational excellence. We leverage data to improve day-to-day efficiency, strengthen planning processes, and support long-term strategic initiatives across HubSpot’s internal teams.
In this role, you’ll contribute to building a scalable data foundation that powers analytics and internal reporting. Your work will support analytical and data-driven initiatives across Company Pillar functions.
The Role
As an Analytics Engineer, you’ll join the Company Pillar Data Operations team to help build and maintain a modern data foundation that supports analysis and internal data products.
You’ll work closely with a Senior Data Engineer and a Senior Analytics Engineer on a small but impactful team. Together, you’ll translate business requirements into reliable, reusable data models and datasets that support internal reporting and analysis.

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

Nice To Haves

• Experience with Snowflake, dbt, and/or Looker is a plus

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed