Senior Product Analyst

The HubSpot Ops team is seeking a Senior Product Analyst to join our fast-growing team. Product Analysts are data-driven influencers setting the standard for how data and analytics is used at HubSpot and inspiring our product teams to action.

Product and Engineering use multiple sources of data (user event data NPS and transactional data etc) to discover what is going well for our customers where we can improve and what to build next. Senior Product Analysts -- individuals with high data literacy intellectual curiosity and communication skills -- are at the center of these analyses and decisions; we work side-by-side with Product Management User Experience and Engineering teams to inform and build better solutions for our customers.

In this role while you operate with a high degree of autonomy you benefit from the support of the Product Analytics community -- sharing ideas debating approaches and receiving feedback to deliver more effective analyses and develop in your career.

We are looking for people who have:

• Academic or professional experience with a heavy quantitative analytical focus
• Practical experience in a business environment influencing decision making with data
• Experience working with large datasets; particularly data mining manipulation and exploration
• Ability to write performant complex SQL queries combining multiple sources of data
• Comfortability with data analytics and statistical tools such as R or Python
• Confidence using a variety of analytical and statistical techniques
• Passionate about the role of data in helping solve complex questions
• Excellent communication storytelling and collaboration skills

In this role you will:

• Define (or redefine) leading indicators of success for your team. Serve as the expert for these metrics by understanding how data collection is instrumented in the product how it flows through our ETL pipeline and is aggregated and how metrics are defined in our analytics platform.
• Construct the core dashboards visualizations and analyses to help stakeholders monitor product health and make better decisions
• Perform ad hoc analyses into user behavior to inform specific near-term experiment designs or product decisions or longer term product strategy
• Partner with engineering and other internal operations teams to enable a high level of data integrity consistency and clarity across cross multiple internal databases and reporting systems
• Be a voice within your teams to educate elevate and advocate for the continual value of leveraging analytics to inform decision making