Analyst, GTM Customer Intelligence

What You'll Do

Key Outcomes:

• Build and maintain the analytics infrastructure behind Apollo's customer health scoring model. Partner with CS leadership to validate scoring logic, surface at-risk customers, and identify leading indicators of churn or expansion.
• Develop renewal pipeline reporting that gives CS and Finance visibility into renewal timing, risk, and expected outcomes. Establish recurring reporting cadences and work with CS Ops to identify where to intervene early.
• Instrument and analyze data from billing systems, support ticket volumes, and other post-sales touchpoints to identify patterns that predict churn or expansion. Surface these signals into CS workflows and dashboards.
• Build reporting around upsell and cross-sell motion—including expansion pipeline, seat growth, product adoption metrics, and net revenue retention. Help CS and Sales leadership understand where expansion opportunity is concentrated.
• Build, maintain, and iterate on dashboards that serve the full CS org—from individual GTME book-of-business views to VP-level QBR decks. Ensure data is accurate, timely, and actionable.
• Capture analytics and metrics requests from CS and CS Ops stakeholders, triage and prioritize them, and translate business questions into structured reporting requirements. Incorporate high-priority needs into the reporting layer in partnership with data engineering.

What We're Looking For

• 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.
• 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).
• Analytically rigorous and detail-oriented. Comfortable operating across functions—CS, CS Ops, Finance, Data Engineering, and Sales.
• AI Fluency: Using LLMs as an active part of analytics workflow (generating/debugging SQL, summarizing health scores, renewal forecasts). Structuring and exposing data for AI interpretation. Accelerating output with AI-assisted development. Staying current as tooling evolves. Navigating AI's limitations and implementing validation processes.

Compensation & Benefits

• Equity; company bonus; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.