Senior Analytics Engineer
About The Position
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 decision-making across HubSpot. Flexible, well-connected, well-architected data are the backbone of our strategy, along with the Analytics Engineers who create that landscape. In this role, you'll join the Data & AI Foundations team to design and build a modern data foundation for efficient models and analyses. Your work will directly support analytic and ML products that change the way we make decisions across Operations at HubSpot. You'll bring a strong interest in building flexible, reusable architecture for our highest-value data assets, while growing your expertise across the tools and practices that define modern analytics engineering.
Requirements
- Working knowledge of modern data tools (such as Snowflake, dbt, and Looker)
- Proficiency in SQL, data modeling, ETL, ELT, and data transformation
- Hands-on dbt experience including modeling patterns, macros, and testing
- Experience developing slowly changing dimension (SCD) tables from multiple sources
- Comfort working through inherited complexity, including reverse engineering existing models, pipelines, or reporting logic
- Effective communication across multiple modes (video, wikis, decks, guided exercises) and a knack for choosing the best format for the task and audience at hand
- Experience writing and reviewing end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies
- Experience contributing to cross-functional data initiatives from requirements through production
- Familiarity with semantic models or metric layers for analytics consumption
- Comfort with AI-assisted development tools such as Claude Code to accelerate and improve delivery
- Experience utilizing version control tools (such as GitHub Enterprise Cloud)
- A collaborative mindset with strong attention to detail and a focus on quality
- Clear communication skills and ability to translate technical concepts into business terms
Nice To Haves
- Experience with Python is a plus, but not required
Responsibilities
- Build and optimize data pipelines and analytical tools for scale
- Collaborate with both technical and non-technical areas of the business, bridging the gap between business problems and technical solutions
- Contribute to core data assets that power equitable book of business assignments for sales reps across the organization
- Build and maintain semantic models that support analytics and AI consumption across the organization
- Build out scalable data models to analyze key parts of the HubSpot business
- Expand our suite of dbt patterns and macros to enable flexible and easily extensible data structures
- Support data observability and pipeline reliability using tools like Monte Carlo
- Build analytical applications in Hex to support stakeholder enablement
- Gather requirements with internal stakeholders and contribute to working groups across the project lifecycle
- Document data pipelines, processes, and best practices thoroughly and consistently
- Contribute to shared analytics best practices across HubSpot’s broader data community
Benefits
- HubSpot’s equity plan to receive restricted stock units (RSUs)
- Overtime pay
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
