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

, , United States -

Full Time

Start Date

Immediate

Expiry Date

12 Apr, 26

Salary

204000.0

Posted On

12 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Customer Success, Communication Skills, Mentoring, AI Tools, Quantitative Analysis, Forecasting, Collaboration, Dashboard Creation, Operational Efficiency, Data Governance, Strategic Planning, Customer Retention, Business Insights, Analytical Standards, Cross-Functional Collaboration

Industry

Software Development

Description

- Job Title Lead Data Analyst – Customer Success Strategy & Ops (Strategic Initiatives) Role Summary 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. What You’ll Do 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. What You’ll Bring 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. Where You’ll Work Location: United States Work location preference eligibility: Remote Pay & Benefits The cash compensation below 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, some roles 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 tailored to your skills, experience, qualifications, and other job-related reasons. This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy. Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better. At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community. Annual Cash Compensation Range: $136,000—$204,000 USD We know the confidence gap and impostor 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 accommodations or assistance due to a disability, please reach out to us using this form. At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections. If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here. India Applicants: link to HubSpot India's equal opportunity policy here. About HubSpot HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers. At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too. Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world. Explore more: HubSpot Careers Life at HubSpot on Instagram HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.

Responsibilities

The Lead Data Analyst will own the end-to-end metric work in product and customer experience areas, partnering with management to define success measurements. They will also deliver exploratory analyses to identify trends and collaborate with cross-functional teams to improve customer experience and operational efficiency.