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Principal Analytics Engineer

HubSpot LogoHubSpot
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Location

Remote

HubSpot is seeking a Principal Analytics Engineer to join the Go-To-Market (GTM) Data and Systems team. In this role, you'll play a pivotal part in supporting Revenue Operations within the Flywheel pillar. You will report directly to the Director of Sales Analytics Engineering for Global Sales Data (GSD) and actively engage in extensive cross-functional collaboration with our other analytics engineering, platform, data science, strategy, systems, and business teams.

We are in search of an Analytics Engineer with a passion for building and maintaining flexible and modular architecture for our highest value data assets. In this role, you will develop a deep understanding of the business and analytics priorities to create solutions that will unlock our ability to scale and drive actionable insights.

In this role, you’ll get to:

  • Build and optimize the performance of data pipelines and analytical tools for scale
  • Foster innovation with emerging technologies and by staying current with industry trends
  • Guide professional development of the team through technical leadership
  • Partner with stakeholders to solve business problems with technical solutions
  • Lead working groups, scope requirements, & usher projects through the entire lifecycle
  • Maintain detailed documentation of data pipelines, processes, and best practices
  • Support major projects like our customer centric operating model (CCOM), guided selling with artificial intelligence (AI), and pipeline snapshotting

We are looking for someone with:

  • Expert knowledge of modern data tools (such as Snowflake, dbt, and Looker)
  • Extensive proficiency in SQL, data modeling, ETL, ELT, and data transformation
  • Successful experience building complex and cross-functional data projects
  • Experience developing slowly changing dimension (SCD) tables from multiple sources
  • Experience utilizing version control tools (such as GitHub Enterprise)
  • A DevOps mindset characterized by automation, collaboration, continuous improvement, and a hyperfocus on user needs and frequent iteration
  • Strong communication skills and ability to distill technical solutions into business terms
  • Creative problem-solving abilities to embrace and navigate ambiguity and change
  • Insatiable curiosity and interest in learning new things
  • Experience with Python and familiarity with Sales teams are a plus, but not required

Cash compensation range: 138500-221600 USD Annually

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