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Deal Desk Analyst
Location
Philippines
Posted
66 days ago
Salary
0
Seniority
Mid Level
Job Description
Deal Desk Analyst
Muvr
• Own the deal desk ticketing and intake process for new deals, changes, and exception requests. • Triage requests quickly, confirm required information, and route approvals based on policy. • Maintain SLAs and communicate clear timelines, status updates, and next steps to Sales stakeholders. • Prepare, validate, and deliver quotes and proposals using CPQ tools or standardized templates. • Review pricing, discounts, bundles, and terms for accuracy and compliance with commercial policy. • Ensure quotes reflect current packaging rules and do not create downstream delivery, billing, or contracting issues. • Manage discounting and exception workflows using approval matrices and pricing policy guardrails. • Validate CRM accuracy against quote outputs, order forms, and billing requirements. • Operate and support deal desk tools such as CPQ, proposal platforms, e-signature systems, and workflow automation tools. • Track deal desk performance metrics such as turnaround time, SLA compliance, approval volumes, discount levels, and error rates. • Train Sales teams on submission standards, quoting rules, and approval workflows so adoption is consistent.
Job Requirements
- 2 to 5 years of experience in deal desk, sales operations, revenue operations, commercial operations, or related roles.
- Hands-on experience with CRM and quoting workflows in Salesforce, HubSpot, or similar platforms.
- Strong attention to detail and comfort reviewing pricing tables, order forms, statements of work, and commercial terms.
- Strong communication skills and a service-oriented mindset in fast-paced, deadline-driven environments.
- Advanced spreadsheet skills in Excel or Google Sheets.
- Ability to enforce policy consistently while maintaining strong stakeholder relationships.
- Strong process discipline, including documenting workflows, maintaining SLAs, and improving systems over time.
- Comfortable using AI tools to improve productivity, quality of work, and day-to-day execution.
- Willingness to learn emerging AI workflows and use AI responsibly to improve performance, accuracy, and execution quality.
Benefits
- Competitive compensation
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