Senior Analytics Engineer

This is a remote position.

Position: Senior Analytics Engineer

Location: Colombia or Canada

Experience : 6+ years

Employment Time:  6 months contract to start with (renew of contract will depend need basis)

Work Mode – Remote in Colombia or Canada

Shift – Day shift that syncs with US day working hours ( 40 hrs a week )

Job description

Product Operations Senior Analytics Engineer 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 Senior Analytics Engineer serves as a force multiplier for the broader Prod Ops org: building and maintaining our highest value data assets; defining and implementing 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 work cross functionally, developing a deep understanding of the business and analytics priorities for the Prod Ops org to motivate solutions that will unlock our ability to scale and drive actionable insights - from refining and extending our data models, to refactoring tables, to building new assets and training content. 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

 ● Codify and democratize best practices for SQL query optimization/reusability and 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)

● 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

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

 Basic Qualifications:

Development

 ● Leading the technical execution of high complexity business intelligence and analytics projects in code with the use of CTEs, nested queries, or other similar techniques

● 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)