- 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