Analyst, GTM Customer Intelligence

Required Qualifications

• 3+ years of experience in an analytics, Customer Success Operations, or Revenue Operations role, with direct exposure to post-sales data in a B2B SaaS environment.
• Familiarity with CS data domains—health scoring, NRR, churn, renewal pipelines, support metrics, and customer lifecycle stages. You don’t need to have built all of these from scratch, but you should understand what they are and why they matter.
• Strong SQL skills and experience working with BI tools (e.g., Looker, Tableau, or similar). Able to build and own dashboards independently.
• Experience with Salesforce or a CS platform (Gainsight, Vitally, ChurnZero, or similar). Understanding of how CS data is captured and where the quality gaps tend to live.
• A translator’s instincts. You know how to take a retention question from a CS VP and convert it into a clean, scoped analytics project—and you know when and how to push back on scope.
• Analytically rigorous and detail-oriented. Post-sales data is messy—billing records, support tickets, and CRM data rarely agree out of the box. You need to enjoy untangling it and managing the organization’s expectations.
• Comfortable operating across functions—you’ll work with CS, CS Ops, Finance, Data Engineering, and occasionally Sales, and you need to collaborate effectively with all of them.
• This role is ideal for an analyst or technical ops professional looking to deepen their exposure to analytics, intelligence, and data infrastructure, with a focus on the customer lifecycle.