Senior Analytics Engineer

HubSpot’s Sales Operations Data and Analytics team is a growing team of collaborators, lifetime learners, and data advisors eager to optimize HubSpot’s time-to-insight.  Our mission is to build infrastructure, processes, and good practices that will modernize HubSpot’s data strategy and change the way HubSpot goes to market.   The importance of building a data foundation that scales.

We are a growing team of Analytic Engineers who have a laser focus on making their customers successful. You will work cross-functionally across our business, operations, and technical teams to drive change and impact business solutions for the Sales Operations, Analytics and Strategy team.

You will have the opportunity to take on complex data challenges related to internal reporting and analytics, work with peers to help manage our data infrastructure, and provide leverage to each other and to a network of analysts across Sales, Marketing and Customer.

If you like solving hard problems, become energized in high-pressure situations, and want to work with amazing peers - please apply and come help us make HubSpot an even more successful company.

In this role, you’ll get to:

• Collaborate with both technical and non-technical areas of the business, bridging the gap between the business problem and the technical solution. 
• Own and improve key reporting, identifying critical operational questions that can be answered through new data insights. 
• Build out scalable data models to analyze key parts of the HubSpot business. 
• Support distributed operations teams as they utilize these foundational data models for management & sales reporting.
• Performs complex root cause analysis of problems and subsequently, make and implement recommendations to prevent future occurrences.
• Enable & educate Data Analysts on best practices for reporting and leveraging the new data assets in which the Analytics Engineer creates.
• Work closely with central technical teams, Data Analysts, Business Managers, and leadership to collaboratively deliver on projects.
• Define/refine project requirements with business stakeholders.  Participate in key touchpoints to keep stakeholders informed throughout projects and provide documentation to enable your deliverables to speak for themselves.

We are looking for people who have:

Project Management

• Working iteratively on projects as part of an Agile Scrum team of different functional roles.
• Translating project requirements into a set of technical sub-tasks that build towards a final deliverable.
• Participating in and leading the technical execution of business intelligence and analytics related projects of large scope and complexity.
• Hands on experience with bug tracking systems and project management, like Jira

Data Management

• Experience working with complex datasets with computer science fundamentals, including but not limited to the concepts of software development lifecycle (SDLC)
• Experience building and optimizing data pipeline, architecture and data sets and be able to present visuals utilizing Lucidcharts
• Understanding of ETL, ELT with an ability to reverse engineer for existing technical projects to help optimize and provide recommendations with root cause analysis.
• 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 and analytical skills related to both structured and unstructured datasets
• Exceptional ability to document technical design documents and organizational skills
• Hands-on experience with advanced SQL and cloud data warehouse like Snowflake and relational databases 
• Experience with object-oriented scripting languages like Python and packages like Pandas, Numpy, Matplotlib, ScikitLearn, TensorFlow
• Experience building user defined functions in either Python or SQL
• Ability to participate and contribute to code-management/version control tools like git Enterprise on several peer-reviews, feature branch, resolving conflicts and commits
• Concept and working knowledge on LookML (views, explore), Looks and Dashboards
• Familiarity with data science acumen and common ML algorithms and an eagerness to continue to explore ML implementation.
• Experience with JSON Flattening and extracting internal elements

Confidence can sometimes hold us back from applying for a job. But we'll let you in on a secret: there's no such thing as a 'perfect' candidate. HubSpot is a place where everyone can grow. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day.

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 through. 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 #1 Best Place to Work on Glassdoor in 2020, 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.

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