Analytics Engineer, Product Operations

Analytics Engineer, Product Operations

This job is no longer open

Product Operations is a fast-growing, global team of data-driven influencers, setting the standard for how data and analytics is used at HubSpot, and inspiring product teams to action.  We draw from multiple sources of data (user event data, NPS, transactional data, etc) to discover what is going well, where we can improve, and what to build next, partnering with Product Management, User Experience, and Engineering leadership to build better solutions for our customers.

The Analytics Engineer serves as a force multiplier for the broader Prod Ops org:  building and maintaining our highest value data assets; defining team strategy for analytics development processes; and enabling the team to operate with a consistent level of excellence as we scale in a remote, global environment.  In this role, you will develop a deep understanding of the business and analytics priorities for the Prod Ops org to motivate solutions that will unlock our ability to scale - from refining and extending our data model, to refactoring tables, to building new assets and dashboards.  You will collaborate with distributed analysts across the company to drive alignment on key business logic and metric definitions, influence the evolution of our core analytics infrastructure, and contribute to HubSpot’s library of best practices.

In this role, you’ll get to:

  • Collaborate with technical and non-technical stakeholders, bridging the gap between business problem and technical solution
  • Own and champion Product Operations’ “crown jewel” data assets that answer HubSpot’s most critical operational questions, reinforcing them as Source of Truth across the organization
  • Develop scalable data models that enable performant analysis into Hubspot’s products and business
  • Curate, organize and document Product Operations data and reporting environments across Looker, dbt and Amplitude
  • Collaborate closely with Hubspot’s BI and Data Engineering teams to expand data access and availability
  • Enable & educate analysts on best practices for reporting, leveraging HubSpot’s data assets, and analytics development within Snowflake SQL, dbt, LookML, and git
  • Define teamwide coding standards, documentation requirements and development processes (code reviews, testing requirements, etc)

We are looking for people with experience in the following areas:

Development

  • Leading the technical execution of high complexity business intelligence and analytics projects 
  • Experience with complex datasets and computer science fundamentals, including software development lifecycle (SDLC)
  • Experience building and optimizing data pipelines, architectures and data sets; experience diagramming architecture and entity relationships with Lucidcharts (for example)
  • Understanding of ETL and ELT, with an ability to reverse engineer and refactor existing technical projects 
  • Experience with script based analytic transformation tools like dbt with ability to build CTEs
  • Exposure to data pipeline and workflow management tools like Apache Airflow

Analytics

  • Strong understanding of the analyst’s workflow as it relates to both structured and unstructured datasets
  • Exceptional ability to document technical designs
  • Hands-on experience with advanced SQL, cloud data warehouses (eg Snowflake) and relational databases 
  • Ability to collaborate through code-management/version control tools like GitHub Enterprise (for peer-reviews, feature branches, resolving conflicts and commits)
  • Conceptual knowledge of Looker (LookML, Looks and Dashboards)
  • Experience with JSON Flattening and extracting internal elements 

Team Enablement

  • Experience training and onboarding colleagues (especially at-scale, or in a remote-first or global environment)
  • Effective communication across multiple modes (video, wikis, decks, guided exercises) and a knack for choosing the best format for the task and audience at hand
  • Experience identifying and driving process improvements around data use to drive team effectiveness
  • Best practice definition:  identifying the minimal set of rules for the greatest teamwide gains in clarity, accuracy, discoverability, and reusability
  • Patience, empathy, finding success in the team’s success

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

About HubSpot

HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.

You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #4 Best Place to Work on Glassdoor in 2021, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.

Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot.

By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information.

This job is no longer open
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