Analyst, GTM Customer Intelligence

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Apollo.io

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

Apollo. io is an all-in-one sales platform designed to streamline and enhance sales operations from lead generation to deal management. The platform offers tools for contact and account search, scores and signals analysis, inbound optimization, sales engagement, and more, leveraging AI and a living data network for comprehensive sales intelligence. Apollo. io is ideal for sales professionals, marketers, and revenue operations teams aiming to enhance productivity and efficiency by automating workflow tasks and integrating CRM systems. With a focus on improving sales performance through analytics and conversation intelligence, Apollo. io helps businesses find the right leads at the right time, nurture those leads effectively, and close deals efficiently.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• equity • company bonus or sales commissions/bonuses • 401(k) plan • at least 10 paid holidays per year • flex PTO • 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