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:

• Using LLMs as an active part of your analytics workflow. Whether it’s generating and debugging SQL, summarizing pipeline or forecast data, or accelerating the build of dashboards and documentation—you should be reaching for AI tools wherever they can accelerate the completion of tasks.
• Structuring and exposing data for AI interpretation. Understanding how to make sales and pipeline data clean, well-labeled, and accessible so that AI tools can reason over it reliably. This includes thinking about schema design, field definitions, and semantic documentation.
• Accelerating output with AI-assisted development. Using AI to compress the time from question to answer. We expect analysts at this level to leverage AI to raise their own output ceiling.
• Staying current as the tooling evolves. The AI tooling landscape is moving fast. We want analysts who are curious, self-directed learners—people who experiment, share what works, and help raise the floor for the whole team.
• Navigating AI’s limitations and pitfalls. Understanding where AI-generated outputs can introduce errors, bias, hallucinations, or false confidence, and implementing validation processes to ensure analytical rigor. You know when to trust AI, when to verify its work, and when to rely on first-principles analysis instead.

We are AI Native

Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.

Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.