Senior Analytics Engineer

Role Description

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.

• 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

Qualifications

• 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
• Experience with Python is a plus, but not required

Benefits

• Annual Cash Compensation Range: $136,000 - $204,000 USD
• Base salary, on-target commission for eligible roles, and annual bonus targets under HubSpot’s bonus plan
• Participation in HubSpot’s equity plan to receive restricted stock units (RSUs)
• Individual compensation packages tailored to skills, experience, qualifications, and other job-related reasons
• Flexible work arrangements and strong connections with team and peers