Head Of Revenue Analytics

Apex Group

Multiple Locations
On-site
Global commercial analytics capability
Revenue predictability and growth
Salesforce and enterprise data platform
Apex Group is seeking a Head of Revenue Analytics to lead their global commercial analytics capability. The role focuses on developing data-driven insights to enhance revenue predictability and growth, requiring strong technical and commercial expertise

Job Summary

  • The Head of Revenue Analytics is responsible for building, owning, and governing Apex Group’s global commercial analytics capability, ensuring trusted, actionable, and forward-looking insights drive revenue predictability and growth.
  • This role owns the revenue analytics layer across Salesforce and the enterprise data platform, while working in close partnership with Apex’s Global Analytics function and AI teams to integrate broader data sources, advanced analytics, and predictive insights into the commercial operating model.
  • The role requires a leader who is technically credible, commercially fluent, and able to bridge enterprise data strategy with frontline sales execution—ensuring analytics move from reporting to decisioning and action.

Matching Summary

Match Score: 85

Apex Group is seeking a Head of Revenue Analytics to lead their global commercial analytics capability. The role focuses on developing data-driven insights to enhance revenue predictability and growth, requiring strong technical and commercial expertise.

Skills & Requirements

Must-have

  • global commercial analytics capability
  • revenue predictability and growth
  • Salesforce and enterprise data platform
  • technical credibility and commercial fluency
  • enterprise data strategy with sales execution
  • predictive and prescriptive analytics
  • data governance, quality, and trust

Nice-to-have

  • operationalize AI or predictive insights
  • third-party data integration
  • long-cycle, complex B2B sales

Key Requirements

  • 10-15+ years in analytics, data, or revenue intelligence
  • Experience leading analytics in financial services, fund administration, fintech, or regulated B2B environments
  • Strong hands-on background in data modeling, SQL, analytics engineering, and BI
  • Proven experience working with enterprise analytics and AI/data science teams
  • Demonstrated success translating complex analytics into commercial action

Work Rights

Not specified

Tailored Resume

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