Staff Analytics Engineer

HubSpot is hiring a Staff Analytics Engineer to join its Data & AI Foundations team. The role is for someone who can design and build a modern data foundation that supports analytics and machine learning products, and who also wants to shape the tooling and standards that make an analytics engineering team more effective. The position is based in the United States.

What you will do

• Build and optimize the performance of data pipelines and analytical tools for scale
• Own and evolve core platform assets, analytics engineering tooling, reusable patterns, and automation that raise the floor for every analytics engineer on the team
• Contribute to a composable agentic analytics engineering delivery system, a pipeline of AI-powered skills that automates the full delivery lifecycle from context to merged PR
• Design and maintain semantic models that serve as the trusted, reusable foundation for analytics and AI consumption across the organization
• Build internal AI agents and data-grounded tools, integrating RPC-based capabilities via MCP servers
• Design and implement cost strategies for shared data assets, pipelines, and compute usage
• Define and deploy scalable data ingestion, replication, and transfer patterns across systems
• Guide professional development of the team through technical leadership
• Partner with stakeholders to solve business problems with technical solutions
• Build out scalable data models to analyze key parts of the HubSpot business
• Expand the suite of dbt patterns and macros to enable flexible and easily extensible data structures
• Drive data observability and pipeline reliability using tools like Monte Carlo
• Establish scalable patterns and standards for analytical application development in Hex
• Lead working groups, scope requirements, and usher projects through the entire lifecycle
• Maintain detailed documentation of data pipelines, processes, and best practices

What they are looking for

• Expert knowledge of modern data tools such as Snowflake, dbt, and Looker
• Extensive proficiency in SQL, data modeling, ETL, ELT, and data transformation
• Deep dbt expertise including advanced modeling patterns, macros, and package development
• Experience developing slowly changing dimension (SCD) tables from multiple sources
• Successful experience leading complex, cross-functional data initiatives from ambiguous problem to production
• Experience building or maintaining shared data platform assets, developer toolkits, or internal frameworks
• Experience designing semantic models or metric layers for analytics or AI consumption
• Proficiency with AI-assisted development tools such as Claude Code, including agentic pipeline design and composable, skill-based workflows
• Comfort building AI agents and integrating external tools and services via MCP servers
• Experience utilizing version control tools such as GitHub Enterprise Cloud
• A DevOps mindset characterized by automation, collaboration, continuous improvement, and a focus on user needs and frequent iteration
• Strong communication skills and ability to distill technical solutions into business terms
• Experience with Python is a plus, but not required

Pay and benefits

The annual cash compensation range for this role is $138,500 to $221,600 USD. The cash compensation includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot's bonus plan for eligible roles. Some roles are eligible to participate in HubSpot's equity plan to receive restricted stock units (RSUs), and some roles may be eligible for overtime pay. Individual compensation packages are tailored to skills, experience, qualifications, and other job-related reasons.

Benefits are part of the total compensation package. HubSpot offers benefits and perks to help employees grow better.

Location and work

HubSpot values both flexibility and connection. Whether you are a remote employee or work from the office, you will start by building connections with your team and peers. If you join the Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join the broader Product team, you will also attend other in-person events, such as your Product Group Summit and other gatherings. If you require an accommodation due to travel limitations or other reasons, inform your recruiter during the hiring process.

About HubSpot

HubSpot (NYSE: HUBS) is an AI-powered customer platform with software, integrations, and resources to connect marketing, sales, and service. The company says its connected platform enables businesses to grow faster by focusing on customers. HubSpot's culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.