Senior Deal Desk Analyst

About the role

Hybrid Job Overview The Senior Deal Desk Analyst, Revenue Operations plays a critical role in enabling scalable, compliant, and efficient execution across complex commercial opportunities. This role partners directly with global Sales team to structure, evaluate, and execute standard and non-standard deals, ensuring pricing, licensing, contract terms, approvals, and operational handoffs align with customer needs, revenue objectives, and internal governance requirements. The position requires strong commercial judgment, analytical rigor, and ownership of end-to-end deal quality, including the ability to assess customer contract, identify risks or process gaps, and recommend practical paths forward. This role also collaborates closely with Legal, Finance, Billing, Business Process, IT, and broader Revenue Operations partners to improve deal velocity, strengthen controls, enhance documentation, and drive continuous maturity across the quote-to-contract lifecycle.

Responsibilities

• Lead the review and execution of standard or complex, strategic, and non-standard deals, ensuring pricing, licensing, contract terms, approvals, and deal structure align with customer needs, revenue goals, and internal policies.
• Serve as a senior Deal Desk resource for pricing, licensing, contracting, quoting, approvals, exceptions, and lead-to-contract processes, providing clear guidance to Sales and cross-functional stakeholders.
• Partner with Sales and downstream teams to move deals through quote creation, intake and review, approvals, exception handling, and operational handoffs.
• Recommend deal paths and exception decisions that balance customer experience, revenue goals, operational feasibility, risk, and policy compliance while supporting accurate and audit-ready execution.
• Evaluate deal risk and business impact, including pricing, billing, operational complexity, and compliance requirements.
• Manage assigned Deal Desk work to support quality, turnaround time, and SLA goals by prioritizing urgent requests, removing blockers, escalating risks, and keeping stakeholders informed.
• Use data