Lead Data Analyst – Customer Success Strategy & Ops (Strategic Initiatives)

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Lead Data Analyst – Customer Success Strategy & Ops (Strategic Initiatives)

The HubSpot Customer Success Strategy and Operations team is looking for a Lead Data Analyst to join our team. This is an individual contributor leadership role, intended for individuals who have demonstrated the capability of taking cross-functional, mission-critical projects and delivering success.

In this role, you will combine deep data insights with business expertise to deliver comprehensive solutions that tackle critical challenges. This role offers exposure to HubSpot C-suites and growth opportunities for those who want to shape the future of the business.

Lead Business Analysts act as Strategic Advisors to executive leadership. You will focus on tackling the most ambiguous business questions, translating high-level corporate strategy into tangible operational requirements and ensuring alignment across cross-functional teams.

In this role, while you operate with a high degree of autonomy—leveraging AI tools to define analytical standards—you serve as a mentor to the Operations Analytics community, advising on frameworks and advocating for improvements in data governance.

• Own the end-to-end metric work in emerging product and customer experience areas—partnering with management to define success measurements and driving clarity on “what good looks like.”
  
• Deliver effective exploratory analyses and advanced methods to identify trends and key drivers of customer retention, outcomes, and operational performance.
  
• Collaborate with cross-functional teams to develop and implement strategies that improve customer experience, retention, revenue growth, and operational efficiency.
  
• Create effective dashboards and analytical artifacts to communicate insights to stakeholders and monitor business health.
  
• Translate ambiguous, high-level business questions into clear analytical roadmaps and execution plans, communicating insights with a concrete plan for action.
  
• Navigate an enterprise-scale data environment and own the development of scalable analytical assets that drive efficiency and consistency.
  
• Proactively identify opportunities to improve standards, processes, and delivery for analytics work across the organization, advocating for improvements in architecture and data governance.
  

Required Qualifications

• Academic or professional experience with a heavy quantitative, analytical focus.
  
• Track record of driving organization-wide impact by influencing decision-making with data while working with cross-functional executive stakeholders.
  
• Exceptional communication skills, with a proven ability to present recommendations to outcomes-driven executive audiences.
  
• Demonstrated passion for teaching, mentoring, or developing others—particularly without direct management authority.
  
• Ability to work autonomously and drive influence through innovation in a high-growth, fast-changing SaaS environment.
  
• Experience using AI to elevate analytical standards and scale project execution without sacrificing rigor.
  
• Ability to package and present recommendations to executive stakeholders through a balance of quantitative analysis and qualitative strategic perspective.
  
• Experience building commercial models (e.g., ROI, LTV) and forecasting trends to inform near-term and long-term operational decisions.
  

Nice-to-Have Qualifications

• Experience partnering closely with Customer Success or Go-To-Market leadership teams.
  
• Exposure to enterprise-scale analytics environments supporting customer lifecycle analytics.
  
• Prior experience acting as an informal analytical leader within an analytics or operations community.
  

• Location: United States
  
• Work location preference eligibility: Remote