Senior Analytics Engineer II
HubSpotJob Summary
HubSpot's Data, Systems, & Intelligence team is seeking an Analytic Engineer to design and build a modern data foundation for efficient models and analyses. The role involves collaborating with technical and non-technical areas of the business, building scalable data models, and establishing technical best practices in maintaining the data infrastructure. The ideal candidate has several years of hands-on SQL experience, relational databases, and data modeling, as well as excellent communication skills and problem-solving abilities. They should also be curious and interested in learning new things, with experience in Snowflake, dbt, and/or Looker a plus. This role supports the company's long-term data strategy and enables the team to scale and drive actionable insights.
POS-23295
HubSpot’s mission is to Help Millions of Organizations Grow Better. HubSpot’s Operations team is core to this goal by supporting the HubSpotters who attract, engage, and delight HubSpot’s customers. Our goal in Operations is to embed advanced analytics and algorithmic intelligence into the DNA of decision-making across Flywheel. Flexible, well-connected, well-architected data are the backbone of our strategy, along with the Analytics Engineers who create that landscape.
We believe in the power of data to drive effective decision-making. We leverage data for both day-to-day operations (improving efficiency by surfacing the right data at the right time) and for strategy (fostering deep understanding of what makes our flywheel spin, and projecting how to spin it faster in the future). In this role, you’ll be a member of the Data, Systems, & Intelligence team to design and build a modern data foundation for efficient models and analyses. Your work will directly support analytic and ML products that will change the way we make decisions within Flywheel at HubSpot.
We’re looking for Analytic Engineers with a strong interest in building and maintaining flexible, reusable 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:
Collaborate with both technical and non-technical areas of the business, bridging the gap between the business problem and the technical solution
Build out scalable data models to analyze key parts of the HubSpot business
Establish and uphold technical best practices in maintaining the data infrastructure and and contribute to the company's long term data strategy
Support distributed operations teams as they utilize these foundational data models for reporting
Perform complex root cause analysis of problems and subsequently, makes and implements recommendations to prevent future occurrences
Expand our suite of dbt patterns and macros to enable flexible and easily extensible data structures
Scope requirements with internal stakeholders and lead working groups to usher projects through their entire lifecycle while building clear roadmaps for cross-functional team members
Learn from our team of Analytics engineers, as well as HubSpot’s greater AE community
Mentor and upskill other analytics engineers to create an inclusive team environment while promoting diversity, inclusion and belonging
We are looking for people who have:
Several years of hands-on SQL experience, relational databases, and data modeling
Ability to document technical design documents and organizational skills
Proven communication skills and ability to bridge between business leaders, engineers, and data scientists
Experience distilling complex ideas and data for both executives and front-line reps
Creative problem solving skills to identify flexible solutions to business questions
Insatiable curiosity and interest in learning new things
Snowflake, dbt, and/or Looker experience
