Senior Analytics Engineer

HubSpot; Deutschland; Vor Ort; EUR 119.099 - 178.648; Vollzeit

Benefits dieser Stelle

Equity plan (RSUs)

Overtime pay

Remote/Office flexibility

Zusammenfassung

HubSpot is hiring a Senior Analytics Engineer for the Data & AI Foundations team to design a modern data foundation enabling scalable analytics and AI products across Operations. You will build flexible, reusable data architectures and collaborate with both technical and business teams.

You will own data pipelines, semantic models, and many core data assets powering sales analytics and decision support. Expertise in dbt, Snowflake, and Looker is required, with strong SQL and data modeling skills.

Qualifikationen

• Experience with Snowflake, dbt, and Looker in modern analytics environments.
• Proficiency in SQL, data modeling, ETL/ELT, and data transformation.
• Hands-on dbt experience including modeling patterns, macros, and testing.
• Experience developing slowly changing dimension (SCD) tables from multiple sources.
• Excellent written and verbal communication across technical and business audiences.
• Experience with version control and collaborating on data projects.

Aufgaben

• Build and optimize data pipelines and analytical tools for scale.
• Collaborate with technical and non-technical stakeholders to translate business problems into technical solutions.
• Contribute to core data assets powering sales analytics and AI products.
• Build and maintain semantic models supporting analytics and AI consumption.
• Expand dbt patterns and macros for flexible data structures.
• Support data observability and pipeline reliability with tools like Monte Carlo.
• Develop analytical applications in Hex for stakeholder enablement.
• Document pipelines, processes, and best practices thoroughly.

Kenntnisse

Snowflake

dbt

Looker

SQL

Data modeling

ETL/ELT

Data transformation

SCD tables

GitHub Enterprise Cloud

Python

Claude Code

Data storytelling

Tools

Snowflake

dbt

Looker

GitHub Enterprise Cloud

Hex

Jobbeschreibung

POS-19091

Senior Analytics Engineer, Data & AI Foundations

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 drive growth and serve HubSpot's customers. Our goal in Operations is to embed advanced analytics and algorithmic intelligence into the DNA of decision‑making across HubSpot. 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 Operations at HubSpot. You'll bring a strong interest in building flexible, reusable architecture for our highest‑value data assets, while growing your expertise across the tools and practices that define modern analytics engineering.

Responsibilities

• Build and optimize data pipelines and analytical tools for scale
• Collaborate with both technical and non-technical areas of the business, bridging the gap between business problems and technical solutions
• Contribute to core data assets that power equitable book of business assignments for sales reps across the organization
• Build and maintain semantic models that support analytics and AI consumption across the organization
• Build out scalable data models to analyze key parts of the HubSpot business
• Expand our suite of dbt patterns and macros to enable flexible and easily extensible data structures
• Support data observability and pipeline reliability using tools like Monte Carlo
• Build analytical applications in Hex to support stakeholder enablement
• Gather requirements with internal stakeholders and contribute to working groups across the project lifecycle
• Document data pipelines, processes, and best practices thoroughly and consistently
• Contribute to shared analytics best practices across HubSpot’s broader data community

Qualifications

• Working knowledge of modern data tools (such as Snowflake, dbt, and Looker)
• Proficiency in SQL, data modeling, ETL, ELT, and data transformation
• Hands‑on dbt experience including modeling patterns, macros, and testing
• Experience developing slowly changing dimension (SCD) tables from multiple sources
• Comfort working through inherited complexity, including reverse engineering existing models, pipelines, or reporting logic
• 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 writing and reviewing end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies
• Experience contributing to cross-functional data initiatives from requirements through production
• Familiarity with semantic models or metric layers for analytics consumption
• Comfort with AI‑assisted development tools such as Claude Code to accelerate and improve delivery
• Experience utilizing version control tools (such as GitHub Enterprise Cloud)
• A collaborative mindset with strong attention to detail and a focus on quality
• Clear communication skills and ability to translate technical concepts into business terms
• Experience with Python is a plus, but not required

Pay & Benefits

The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’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.

$136,000 - $204,000 USD

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

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process.

At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in‑person onboarding. If you join our broader Product team, you’ll also attend other in‑person events to continue building on those connections.

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) HubSpot's Career Diversity page.

India Applicants: HubSpot India's equal opportunity policy.

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