Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.
As a GTM Sales Intelligence Analyst, you will partner closely with Sales leadership, Sales Operations, and Revenue Operations to help Apollo make better go-to-market decisions. You will own core sales reporting and forecasting, develop analytics that improve pipeline visibility, and build the dashboards and metrics that Sales leaders use to manage the business.
This role sits within the GTM Analytics team and is focused on turning CRM and pipeline data into actionable insights. You will work across Sales, RevOps, Finance, and Data Engineering to improve forecast accuracy, surface growth opportunities and risks, and ensure stakeholders can trust the data behind their decisions.
This is a strong fit for an analyst who enjoys solving business problems with data, building scalable reporting systems, and partnering directly with senior stakeholders.
What You'll Do
Key Outcomes: Success in this role will be measured by your ability to:
- Build and maintain pipeline reporting that gives Sales leadership visibility into deal health, stage progression, and conversion trends.
- Identify patterns in pipeline performance and proactively surface risks, opportunities, and coaching insights that improve forecast quality and sales execution.
- Partner with Sales leadership and RevOps to develop scalable forecasting models that blend CRM data with historical patterns and business signals. Establish a regular cadence of forecast reporting that earns trust through accuracy and consistency. Build and evolve forecasting capabilities.
- Own the Sales dashboard ecosystem, from AE activity tracking to executive business reviews. Ensure reporting is accurate, accessible, and evolves alongside the needs of the organization.
- Capture analytics and metrics requests from Sales stakeholders, triage and prioritize them, and translate business questions into structured reporting requirements. Work with the broader analytics and data engineering team to incorporate high-priority needs into the reporting layer. Be the analytics translation layer for the Sales org.
- Identify gaps or inconsistencies in CRM data that affect reporting fidelity, surface them to the right owners, and partner on remediation. Build systems that make data hygiene invisible and convenient for reps and ops. Improve data quality at the source.
What We're Looking For
- 3+ years of experience in an analytics, Sales Operations, or Revenue Operations role, with hands-on experience building reports and dashboards in a B2B SaaS environment.
- Proficiency in Salesforce—comfortable navigating Opportunity objects, pipeline data, and activity reporting. You understand how SFDC data flows and where it breaks.
- Strong SQL skills and experience working with BI tools (e.g., Looker, Tableau, or similar). Able to build dashboards independently and write queries without significant support.
- A translator's instincts. You know how to take a vague business question from a Sales VP and convert it into a clean, scoped analytics request—and you know when and how to push back on scope.
- Experience with forecasting methodologies or a genuine interest in building forecasting capability from the ground up.
- A builder's bias toward process improvement. When you find a recurring gap in reporting or data quality, your instinct is to fix the root cause, not just patch the output.
- Comfortable operating across functions—you'll work with Sales, RevOps, Data Engineering, and Finance, and you need to partner 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, and step back from day-to-day operational execution.
AI Fluency & Tooling
Apollo operates at the intersection of AI and go-to-market, and our analytics team is expected to lead from the front. This role requires genuine fluency in leveraging AI tooling. That means: