HubSpot’s Finance Automation and Science Team (FAST) is hiring for a Senior Analytics Engineer. FAST partners with stakeholders to evaluate reporting opportunities and prioritize initiatives based on what moves the needle on scale, enabling our stakeholders to achieve more in less time. Our team of skilled technical engineers leverages modern tech stacks (like Snowflake, dbt, and Looker) to facilitate comprehensive reporting and automation solutions. Through our expertise, we empower data-driven decision-making by seamlessly translating complex data into actionable reporting/insights, ultimately driving strategic growth and innovation. We are now growing our team to take our impact to the next level.
In this role, you will design and build the data infrastructure required to meet HubSpot’s future scale and enable the Finance and partner teams to make smarter, data-driven decisions as we continue to grow our business. You will also 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 other operational teams within HubSpot. This role is deeply cross-functional, and you will work with Finance stakeholders and technical business partners to understand business priorities and implement solutions that create leverage and drive actionable insights. If you're passionate about data and thrive in an environment that values creativity and collaboration, this is your opportunity to shape the future of finance through cutting-edge reporting automation.
In this role, you'll get to:
- Build out scalable data models and customized looker reports to analyze critical parts of the HubSpot business.
- Expand our suite of dbt patterns and macros to enable flexible and easily extensible data structures
- Collaborate with both technical and non-technical areas of the business, bridging the gap between the business problem and the technical solution.
- Partner with cross-functional teams (including our central Data Engineering team and other Ops data teams) to identify opportunities for improving systems, processes, and decision-making.
- Support distributed operations teams as they utilize these foundational data models for management & reporting
- 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:
- Minimum of 4+ years of work experience delivering reporting/automation/BI solution
- Expert knowledge of modern data tools (such as Snowflake, dbt, and Looker)
- Intermediate to expert-level experience writing Python/Java code
- A self-starter mindset and can adapt well to changing priorities
- Experience building and optimizing data pipeline, architecture, and data sets, and are able to convey solutions to a technical and non-technical audience
- Experience to code-management/version control tools like git Enterprise on several peer-reviews, feature branch, resolving conflicts and commits
- Experience providing technical leadership and educating other engineers on best practices in data engineering
- Experience working with AWS big data technologies (S3, Glue, EC2, EMR) and/or other cloud-based services is nice to have.
- Experience working with Finance teams is a plus but not required.
Cash compensation range: 118500-189600 USD Annually
This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy from Katie Burke, HubSpot’s Chief People Officer.
The cash compensation above 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, all HubSpotters 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 based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
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We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@hubspot.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
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. 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 #2 Best Place to Work on Glassdoor in 2022, 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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