Deal Pursuit & Competitive Intelligence Analyst

About the Role
We are seeking a Deal Pursuit & Competitive Intelligence Analyst to join our team and play a pivotal role in shaping winning strategies and pricing for renewals and new logo opportunities. This role serves as a bridge between solution architecture, delivery, portfolio, sales, and competitive intelligence, providing consultative insights on pricing, automation, transformation levers, and deal competitiveness.
With strong knowledge of Digital Workplace Services (DWS) and Cloud, Applications & Infrastructure (CA&I) offerings, the Analyst ensures solutions and client pricing are both cost-effective and strategically positioned to succeed. The ideal candidate will have deep expertise in deal financial analysis for client RFPs, including cost and price modeling, margin assessment, and scenario planning. They will also bring experience in competitive benchmarking, commercial structuring (bundling, discounting, transformation levers), and the ability to influence internal stakeholders with a strategic, data-driven perspective.

Key Responsibilities:
As a Deal Pursuit & Competitive Intelligence Analyst, you will:

• Deliver pricing recommendations and bid strategy consultation aligned with market benchmarks and client expectations
• Interpret and analyze solution guidance, historical data, and competitive intelligence to support win strategies
• Identify opportunities for automation, shift-left, and other transformational levers that drive value
• Partner with solution architects, sales, and bid finance to validate pricing inputs, effort drivers, and sales incentives
• Provide year-over-year insights to inform forward-looking bid strategies
• Coach deal teams on pricing rationale and industry positioning
• Maintain up-to-date knowledge of DWS and CA&I portfolios to ensure accurate and relevant guidance
• Support and maintain a pricing database, ensuring accurate collection of winning rates and feedback loops
• Contribute to an internal project by creating SKUs and supporting data-driven pricing models