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Senior Analytics Engineer

HubSpot

seniorpermanentbackenddata United States 8 days ago via LinkedIn

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Tags

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