Analyst, GTM Sales Intelligence

Apollo.io

1d•$126,700 - $182,200•Remote

About The Position

Apollo.io is seeking a GTM Sales Intelligence Analyst to partner closely with Sales leadership, Sales Operations, and Revenue Operations to inform go-to-market decisions. This role is part of the GTM Analytics team and focuses on transforming CRM and pipeline data into actionable insights. The analyst will collaborate across Sales, RevOps, Finance, and Data Engineering to enhance forecast accuracy, identify growth opportunities and risks, and ensure data integrity for stakeholders. This position is ideal for an analyst who enjoys solving business problems with data, building scalable reporting systems, and working directly with senior leadership. The role offers an opportunity to step back from day-to-day operational execution and focus on analytics, intelligence, and data infrastructure, with a strong emphasis on leveraging AI tooling in the analytics workflow.

Requirements

3+ years of experience in an analytics, Sales Operations, or Revenue Operations role.
Hands-on experience building reports and dashboards in a B2B SaaS environment.
Proficiency in Salesforce, including navigating Opportunity objects, pipeline data, and activity reporting.
Understanding of SFDC data flow and potential issues.
Strong SQL skills.
Experience working with BI tools (e.g., Looker, Tableau, or similar).
Ability to build dashboards independently and write queries with minimal support.
Ability to translate vague business questions into clean, scoped analytics requests and manage scope.
Experience with forecasting methodologies or a strong interest in building forecasting capabilities.
A bias toward process improvement and fixing root causes of reporting or data quality gaps.
Comfortable operating across functions (Sales, RevOps, Data Engineering, Finance) and partnering effectively.
Genuine fluency in leveraging AI tooling in analytics workflows.
Understanding of how to make sales and pipeline data clean, well-labeled, and accessible for AI interpretation.
Curiosity and self-directed learning in the evolving AI tooling landscape.

Nice To Haves

Deepen exposure to analytics, intelligence, and data infrastructure.
Step back from day-to-day operational execution.

Responsibilities

Build and maintain pipeline reporting for Sales leadership, focusing on deal health, stage progression, and conversion trends.
Identify patterns in pipeline performance to 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 using CRM data, historical patterns, and business signals.
Establish and maintain a regular cadence of forecast reporting that builds trust through accuracy and consistency.
Own the Sales dashboard ecosystem, including AE activity tracking and executive business reviews, ensuring reporting accuracy and adaptability.
Capture, triage, and prioritize analytics and metrics requests from Sales stakeholders, translating business questions into structured reporting requirements.
Collaborate with the broader analytics and data engineering team to integrate high-priority needs into the reporting layer, acting as the analytics translation layer for the Sales organization.
Identify and surface gaps or inconsistencies in CRM data affecting reporting fidelity, partnering with owners on remediation and building systems for data hygiene.
Leverage AI tooling (LLMs) for tasks such as generating/debugging SQL, summarizing data, and accelerating dashboard/documentation builds.
Structure and expose sales and pipeline data for AI interpretation, considering schema design, field definitions, and semantic documentation.
Utilize AI-assisted development to compress the time from question to answer and raise output ceilings.
Stay current with evolving AI tooling, experimenting and sharing knowledge with the team.
Navigate AI limitations and pitfalls, implementing validation processes to ensure analytical rigor and understanding when to trust, verify, or use first-principles analysis.