Staff Monetization Analyst, Product Operations

POS-11346

The HubSpot Ops team is seeking a Staff Monetization Analyst to help the most important product pricing and packaging decisions, grounded in data, customer insights, and strategic thinking. The Staff Monetization Analyst will be responsible for owning business performance reporting and supporting pricing and packaging decisions for ‘Hubs’ (HubSpot’s Marketing, Sales, Service, Content and Operations products). This is an individual contributor leadership role, intended for individuals who have demonstrated the capability of taking on cross-functional, complex, and mission-critical projects and delivering success. 

In this role, you will:

• Serve as the primary decision maker or support their manager as primary decision maker on key pricing and packaging proposals to drive Hub monetization
• Ground recommendations based in proactive pricing strategic thinking and competitive intelligence/knowledge of the competitive landscape
• Deeply understand Hub performance and be able to report out on key trends to inform product partners and help inform future monetization decisions

To be successful, you will need to:

• Become an expert in HubSpot’s financial and customer usage data
• Develop compelling narratives for a C-Suite audience grounded in strong data analysis 
• Partner with product leaders to make decisions as a strategic advisor
• Drive cross-functional work-streams from metric definition to data instrumentation
• Translate ambiguous business questions into discrete analyses with concrete recommendations
• Lead through the example of your work by delivering projects that set the standard for utility, completeness, accuracy, interpretability, and extensibility 

We are looking for people who have:

• Relevant experience in data analytics and/or pricing strategy 
• Track record of driving organization-wide impact in a business environment, influencing decision-making with data; ideally working with cross-functional, executive (C-level) stakeholders
• Expert financial modeling skills
• Experience with enterprise-scale analytics architectures built for a variety of applications (beyond SQL transformations/reporting, ideally Looker, HEX)
• Ability to write performant, complex SQL queries combining multiple sources of data
• Expertise with data analytics and statistical tools such as R or Python preferred
• Confidence with a variety of analytical and statistical techniques; expertise with a subset
• Excellent communication, storytelling, and collaboration skills
• Demonstrated passion for teaching, mentoring, or developing teams - particularly without direct management

Cash compensation range: 138500-221600 USD Annually

The HubSpot Ops team is seeking a Staff Monetization Analyst to help the most important product pricing and packaging decisions, grounded in data, customer insights, and strategic thinking. The Staff Monetization Analyst will be responsible for owning business performance reporting and supporting pricing and packaging decisions for ‘Hubs’ (HubSpot’s Marketing, Sales, Service, Content and Operations products). This is an individual contributor leadership role, intended for individuals who have demonstrated the capability of taking on cross-functional, complex, and mission-critical projects and delivering success. 

In this role, you will:

• Serve as the primary decision maker or support their manager as primary decision maker on key pricing and packaging proposals to drive Hub monetization
• Ground recommendations based in proactive pricing strategic thinking and competitive intelligence/knowledge of the competitive landscape
• Deeply understand Hub performance and be able to report out on key trends to inform product partners and help inform future monetization decisions

To be successful, you will need to:

• Become an expert in HubSpot’s financial and customer usage data
• Develop compelling narratives for a C-Suite audience grounded in strong data analysis 
• Partner with product leaders to make decisions as a strategic advisor
• Drive cross-functional work-streams from metric definition to data instrumentation
• Translate ambiguous business questions into discrete analyses with concrete recommendations
• Lead through the example of your work by delivering projects that set the standard for utility, completeness, accuracy, interpretability, and extensibility 

We are looking for people who have:

• Relevant experience in data analytics and/or pricing strategy 
• Track record of driving organization-wide impact in a bu