Note: The job is a remote job and is open to candidates in USA. Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies globally. As a GTM Customer Intelligence Analyst, you will build the analytics infrastructure that powers customer health decision-making and collaborate with various teams to translate complex customer lifecycle questions into actionable insights.
Responsibilities
- 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. Turn health data into actionable insights for GTMEs and CS leadership. Own health scoring analytics and improvement
- 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. Build renewal analytics that drive predictable retention
- 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 so teams can act on them. Build analytics around billing, support, and adjacent retention signals
- 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 and how to accelerate it. Support expansion analytics
- 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. Design and own the CS analytics dashboard ecosystem
- 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. Be the analytics translation layer for CS Ops
Skills
- 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)
- Experience with Salesforce or a CS platform (Gainsight, Vitally, ChurnZero, or similar)
- A translator's instincts to convert retention questions into clean, scoped analytics projects
- Analytically rigorous and detail-oriented
- Comfortable operating across functions—collaborating effectively with CS, CS Ops, Finance, Data Engineering, and occasionally Sales
- Genuine fluency in leveraging AI tooling
- Using LLMs as an active part of your analytics workflow
- Structuring and exposing data for AI interpretation
- Accelerating output with AI-assisted development
- Staying current as the tooling evolves
- Navigating AI's limitations and pitfalls
Benefits
- Equity
- Company bonus or sales commissions/bonuses
- 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
Company Overview
Company H1B Sponsorship