Staff Analytics Engineer

Overview

Hub Spot's mission is to Help Millions of Organizations Grow Better.

Hub Spot's Operations team is core to this goal by supporting the Hub Spotters who drive growth and serve Hub Spot's customers.

Our goal in Operations is to embed advanced analytics and algorithmic intelligence into the DNA of decision‑making across Hub Spot.

Flexible, well‑connected, well‑architected data are the backbone of our strategy, along with the Analytics Engineers who create that landscape.

In this role, you'll join the Data & AI Foundations team to design and build a modern data foundation for efficient models and analyses.

Your work will directly support analytic and ML products that change the way we make decisions across Hub Spot.

You'll bring a strong interest in building flexible, reusable architecture for our highest‑value data assets, while also shaping the internal tooling, agentic workflows, and standards that make the entire AE team more effective and scalable.

In this role, you'll get to

• Build and optimize the performance of data pipelines and analytical tools for scale
• Own and evolve core platform assets, AE tooling, reusable patterns, and automation that raise the floor for every AE on the team
• Contribute to our composable agentic AE 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
• Foster innovation with emerging technologies and by staying current with industry trends
• 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 Hub Spot business
• Expand our 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

We are looking for someone with

• 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 Git Hub Enterprise Cloud)
• A Dev Ops mindset characterized by automation, collaboration, continuous improvement, and a hyperfocus 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 & Benefits
• Annual Cash Compensation Range: $138,500 — $221,600 USD

Benefits are also an important piece of your total compensation package.

Some roles are eligible to participate in Hub Spot’s equity plan to receive restricted stock units (RSUs).

Some roles may also be eligible for overtime pay.

Individual compensation packages are tailored to your skills, experience, qualifications, and other job‑related reasons.

At Hub Spot, fair compensation practices aren’t just about checking off the box for legal compliance.

It’s about living out our value of transparency with our employees, candidates, and community.

If you need accommodations or assistance due to a disability, please reach out to us.

Massachusetts

Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

An employer who violates this law shall be subject to criminal penalties and civil liability.

Germany Applicants: (m/f/d) - link to Hub Spot’s Career Diversity page.

India Applicants: link to Hub Spot India’s equal opportunity policy.

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