Senior Analytics Engineer

2 days, 4 hours ago
Full-time
Senior
Data Science and Analytics
HubSpot

HubSpot

HubSpot provides a comprehensive cloud-based CRM platform that integrates marketing, sales, service, and operations tools to help businesses attract, engage, and delight customers effectively.

Media
5K-10K
Founded 2006

Description

  • Build and optimize data pipelines and analytical tools at scale.
  • Collaborate with technical and non-technical stakeholders to translate business problems into technical solutions.
  • Develop core data assets that support equitable book-of-business assignments for sales reps.
  • Build and maintain semantic models for analytics and AI consumption.
  • Design scalable data models for key areas of the HubSpot business.
  • Expand dbt patterns and macros to support flexible, extensible data structures.
  • Support data observability and pipeline reliability using tools such as Monte Carlo.
  • Build analytical applications in Hex to enable stakeholders.
  • Gather requirements and participate in working groups throughout the project lifecycle.
  • Document data pipelines, processes, best practices, requirements, and design decisions.
  • Contribute to shared analytics best practices across HubSpot’s data community.

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 formats, including video, wikis, decks, and guided exercises.
  • Experience writing and reviewing end-user and technical documentation, including requirements and design documents.
  • 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.
  • Experience using version control tools such as GitHub Enterprise Cloud.
  • A collaborative mindset with strong attention to detail and a focus on quality.
  • Ability to translate technical concepts into business terms.
  • Python experience is a plus, but not required.

Benefits

  • Annual cash compensation range of $136,000 to $204,000 USD.
  • Cash compensation may include base salary, on-target commission for eligible roles, and annual bonus targets.
  • Some roles are eligible for equity in the form of RSUs.
  • Some roles may be eligible for overtime pay.
  • Benefits and perks package offered by HubSpot.
  • Flexible work environment with remote and office options.
  • In-person onboarding and team connection opportunities for eligible roles.

Interested in this position?

Apply directly on the company website

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