Sales Compensation Operations Analyst

Oracle Corporation; Nashville (TN); On-site; USD 80,000 - 120,000; Full time

Job summary

Oracle Corporation in Nashville seeks a Sales Compensation Operations Analyst to translate go-to-market and sales compensation strategy into scalable operational processes. You will partner with Sales, Finance, Product, and Systems to implement accurate rules and system updates for product hierarchy and eligibility.

You will drive continuous improvement, apply automation and AI to simplify work, strengthen controls, and accelerate analysis, while ensuring documentation and auditability of all

Qualifications

• Experience in Sales Compensation, Sales Operations, or Revenue Operations.
• Strong analytical and structured problem-solving skills.
• Attention to detail and commitment to data accuracy, controls and operational excellence.
• Demonstrated continuous-improvement mindset with automation.
• Interest in AI, automation and emerging technologies; Codex is a plus.
• Ability to think beyond individual transactions and develop scalable solutions.

Responsibilities

• Support the execution of sales compensation operations, ensuring processes are accurate, timely, controlled, and aligned with go-to-market strategy.
• Manage product hierarchy, product groupings, sales-role mappings, and eligibility rules that determine what sales representatives are eligible to sell and receive compensation credit for.
• Execute and validate product additions, removals, reclassifications, role changes, and eligibility updates.
• Support operational readiness for product launches, compensation plan changes, sales reorganizations, new GTM motions, and other business transformations.
• Maintain appropriate documentation, controls, traceability, and auditability for business-critical changes.

Skills

Sales Compensation

Sales Operations

Revenue Operations

Finance Operations

Business Operations

Analytical problem solving

Data analysis

Automation experience

AI tools (Codex)

Tools

Codex

Job description

Role Summary

The Sales Compensation Operations Analyst plays a key role in translating go-to-market and sales compensation strategy into accurate, scalable, and effective operational processes. This role partners across Sales, Sales Strategy, Finance, Product, Compensation, Systems, and other teams to solve complex business problems and ensure sales compensation operations support evolving business needs.

A key responsibility is managing product hierarchy and sales eligibility—the framework that determines which products sales representatives, are eligible to sell and receive compensation credit for. The analyst translates changes in products, sales roles, organizational structures, and go-to-market strategy into accurate operational rules and system updates.

This role requires a strong combination of operational discipline, analytical problem solving, cross-functional partnership, and a transformational mindset. The analyst is expected to continuously challenge existing processes and leverage automation, AI, analytics, and modern tools such as Codex to simplify work, strengthen controls, and improve the speed and scalability of Sales Compensation Operations.

Key Responsibilities

Sales Compensation & Eligibility Operations

• Support the execution of sales compensation operations, ensuring processes are accurate, timely, controlled, and aligned with go-to-market strategy.
• Manage product hierarchy, product groupings, sales-role mappings, and eligibility rules that determine what sales representatives are eligible to sell and receive compensation credit for.
• Execute and validate product additions, removals, reclassifications, role changes, and eligibility updates.
• Support operational readiness for product launches, compensation plan changes, sales reorganizations, new GTM motions, and other business transformations.
• Maintain appropriate documentation, controls, traceability, and auditability for business-critical changes.

Cross-Functional Partnership & Problem Solving

• Partner closely with Sales, Sales Strategy, Finance, Product, Compensation, Systems, Data, and other stakeholders to understand requirements and deliver effective solutions.
• Investigate complex compensation and eligibility issues using structured problem solving, data analysis, and root-cause analysis.
• Identify dependencies, risks, and downstream impacts of proposed changes and coordinate solutions across organizational boundaries.
• Take ownership of issues through resolution rather than addressing individual symptoms or exceptions.

Transformation & Continuous Improvement

• Continuously evaluate processes and identify opportunities to simplify, standardize, automate, and improve how work gets done.
• Challenge manual, repetitive, and error-prone processes and develop scalable solutions that improve efficiency and controls.
• Leverage data, automation, AI, and emerging technologies to improve operational effectiveness, accelerate analysis, automate repetitive activities, improve documentation and controls, and decision-making.

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Internal Responsibilities

Preferred Skills & Experience

• Experience in Sales Compensation, Sales Operations, Revenue Operations, Finance Operations, Business Operations, or a related analytical function.
• Strong analytical and structured problem-solving skills, with the ability to navigate complex and ambiguous business problems.
• Strong attention to detail and commitment to data accuracy, controls, and operational excellence.
• Demonstrated continuous-improvement mindset with experience identifying and implementing process improvements and automation.
• Interest in and practical application of AI, automation, and emerging technologies; experience with AI-assisted tools such as Codex is a plus.
• Ability to think beyond individual transactions and develop repeatable, scalable solutions.

External Responsibilities

Preferred Skills & Experience

• Experience in Sales Compensation, Sales Operations, Revenue Operations, Finance Operations, Business Operations, or a related analytical function.
• Strong analytical and structured problem-solving skills, with the ability to navigate complex and ambiguous business problems.
• Strong attention to detail and commitment to data accuracy, controls, and operational excellence.
• Demonstrated continuous-improvement mindset with experience identifying and implementing process improvements and automation.
• Interest in and practical application of AI, automation, and emerging technologies; experience with AI-assisted tools such as Codex is a plus.
• Ability to think beyond individual transactions and develop repeatable, scalable solutions.