Advanced Analytics Manager

About Us:

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently.

Join us in our pursuit to defend data and protect people.

How We Work:

At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

• Bold in how we dream and innovate
• Responsive to feedback, challenges and opportunities
• Accountable for results and best in class outcomes
• Visionary in future focused problem‑solving
• Exceptional in execution and impact

Location:

CST or EST time zone required

Role

Summary:

We are seeking an Advanced Analytics Manager to lead high-impact Sales and GTM analytics initiatives as part of our Revenue Analytics team within Sales Operations. In this cross‑functional, strategic role, you will partner with leaders across Sales, Marketing, Customer Success, Finance, and Product to solve complex problems and uncover insights that shape how we go to market.

You’ll transform large, complex datasets into actionable insights and executive‑ready recommendations that improve pipeline performance, resource allocation, territory coverage, customer health, and revenue outcomes. This role is ideal for someone who thrives in ambiguity, thinks critically, and influences strategic decisions through data. The ability to execute and communicate under pressure, forge partnerships, and drive change through data is essential to success in this role.

This position reports to the Senior Manager, Revenue Analytics and collaborates closely with GTM Functional Leads, Sales Operations, Finance, IT, Product, and Customer Success.

Key Responsibilities:

• Lead analytics projects across pipeline health, forecasting, territory and account planning, quote‑to‑cash, headcount planning, and customer health
• Translate business challenges into structured analytical questions and deliver insights that inform GTM strategy and revenue planning
• Build and optimize scalable data models and KPI frameworks to support GTM execution and operational visibility
• Design, develop, and maintain executive‑level dashboards and insights tools using Power BI (or equivalent)
• Write and manage robust SQL queries and data pipelines across complex systems
• Present insights and strategic recommendations to VP+ and executive audiences across Sales, Marketing, and Revenue leadership
• Champion self‑service analytics by enabling stakeholders with training, tools, and documentation
• Collaborate on analytics best practices, data governance, and scalable reporting processes
• Identify opportunities for automation, efficiency, and data quality improvements across GTM operations
• Serve as a subject matter expert on GTM data, metrics, and commercial insights

Required Qualifications:

• 6+ years of experience in analytics, business intelligence, or revenue/sales operations roles within a B2B SaaS, tech or similar environment
• Proven success leading end‑to‑end analytics projects from problem framing to execution and delivery
• Strong fluency in SQL, including building and optimizing complex queries across multiple data sources
• Expertise in Power BI (or similar BI tools) and advanced Excel; proficiency in PowerPoint for executive storytelling
• Demonstrated ability to build dashboards and define KPIs that drive visibility and decision‑making
• Strong data storytelling, stakeholder management, and executive communication skills
• Exceptional prioritization, multitasking, and project management abilities in a fast‑paced environment
• Experience partnering cross‑functionally with Sales, Marketing, Finance, and Customer Success teams

Preferred Qualifications:

• Background in GTM analytics, commercial strategy, or revenue operations
• Familiarity with Salesforce, customer data platforms, or revenue intelligence tools
• Exposure to AI/ML applications, experimentation…