Senior Analytics Engineer
HubSpot
seniorpermanentbackenddata United States 8 days ago via LinkedIn
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Analytics EngineeringSQLdbtSnowflakeLookerData ModelingETL/ELTSlowly Changing Dimensions (SCD)Semantic ModelsCI/CD
About the role
Role overview
Senior Analytics Engineer on HubSpot’s Data & AI Foundations team within Operations. You will design and build a modern data foundation to enable efficient analytics and machine learning products that improve decision-making across Operations.
Responsibilities
- Build and optimize data pipelines and analytical tools for scale
- Collaborate with technical and non-technical stakeholders to connect business problems to technical solutions
- Contribute to core data assets used for equitable book-of-business assignments for sales reps
- Build and maintain semantic models to support analytics and AI consumption
- Create scalable data models for key parts of the HubSpot business
- Expand dbt patterns and macros for flexible, extensible data structures
- Improve data observability and pipeline reliability (e.g., with Monte Carlo)
- Build analytical applications in Hex to enable stakeholder self-service
- Gather requirements, participate in working groups, and contribute across the project lifecycle
- Document pipelines, processes, and best practices; help drive shared analytics standards across HubSpot
Requirements
- Working knowledge of modern data tools such as Snowflake, dbt, and Looker
- Proficiency in SQL, data modeling, and ETL/ELT and data transformation
- Hands-on dbt experience (modeling patterns, macros, and testing)
- Experience building slowly changing dimension (SCD) tables from multiple sources
- Ability to work through inherited complexity (reverse-engineer existing models/pipelines/reporting logic)
- Strong communication skills across formats (video, wikis, decks, guided exercises)
- Ability to write/review technical and end-user documentation (requirements, design docs, data standards/policies)
- Experience contributing to cross-functional data initiatives from requirements through production
- Familiarity with semantic models/metric layers for analytics consumption
- Comfort with AI-assisted development tools (e.g., Claude Code)
- Experience using version control (e.g., GitHub Enterprise Cloud)
- Collaborative mindset with strong attention to detail and a quality focus
Nice to have
- Python
About HubSpot
HubSpot is a platform company helping organizations grow better, primarily through customer growth and marketing/sales tools. Its Operations team focuses on embedding analytics and algorithmic intelligence into decision-making across the company. The Data & AI Foundations group builds modern data foundations to power analytics and ML products.
Scraped 7/17/2026