Principal Analytics Engineer, RevOps Marketing Analytics

Team Mission:

Our goal in RevOps is to embed advanced analytics into the DNA of decision-making across HubSpot’s GTM strategy. Flexible, well-connected, well-architected data are the backbone of our strategy. Analytics Engineers who create that landscape. Your work in this position will directly support analytic and ML products that will change the way we make decisions at HubSpot.

We’re looking for Analytic Engineers with a strong interest in building and maintaining flexible, reusable architecture for our highest-value Marketing data assets. You’ll also have the opportunity to contribute to data science and MLOps. In this cross-functional role, you will develop a deep understanding of the business.

In this role, you’ll get to:

Design and implement modern, scalable data assets for modeling and analysis, including:
Customer journey data models
Multi-touch marketing attribution models
Natural language processing model inputs
Collaborate with engineers, data scientists, and non-technical business stakeholders from across HubSpot
Work on data science flywheel: from instrumentation to model pipelines to inference and predictions to outcomes and back

We are looking for someone with:

Expert knowledge of modern data tools (especially Snowflake and dbt)
Strong communication skills and ability to bridge between business leaders, engineers, and data scientists
Successful experience building complex, cross-functional data projects
Insatiable curiosity and interest in learning new things

As well as ideally:

Previous software engineering experience with an object-oriented language
Prior experience working with the deployment and maintenance of large-scale dynamic machine-learning models
Familiarity with cloud-based infrastructure and ML data pipelines

Cash compensation range:‍

150000-175000 USD Annually

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