Job Description
Job Summary:
The Sales Compensation Analyst is responsible for the design, implementation, analysis, and administration of sales incentive compensation plans. This role partners closely with Sales, Finance, HR, and Operations teams to ensure sales compensation aligns with company goals, motivates performance, and is administered accurately and efficiently.
Key Responsibilities:
- Plan Design & Administration:
- Support the design and modeling of sales compensation plans that drive desired business outcomes.
- Assist in developing documentation for plan rules, quotas, territory assignments, and eligibility.
- Data Analysis & Reporting:
- Monitor sales performance metrics and compensation trends to identify insights and recommend improvements.
- Prepare regular and ad hoc reports on plan effectiveness, quota attainment, and commission payouts.
- Conduct variance analyses and provide explanations for unexpected compensation trends.
- Commission Processing:
- Calculate monthly/quarterly commissions and bonuses accurately and on time.
- Collaborate with Finance and Payroll to ensure timely and error-free payouts.
- Investigate and resolve compensation discrepancies or disputes.
- Compliance & Controls:
- Ensure compensation plans comply with legal and financial standards.
- Maintain audit-ready documentation and follow best practices for SOX compliance (if applicable).
- Cross-functional Collaboration:
- Work with Sales Leaders, HR, and Finance to align compensation with business strategy.
- Serve as a point of contact for inquiries regarding compensation plans and policies.
Qualifications:
Education:
- Bachelor’s degree in Finance, Business, Economics, Statistics, or related field.
Experience:
- 2–5 years of experience in sales operations, compensation analysis, finance, or similar roles.
- Experience with sales performance management tools (e.g., Xactly, Varicent, Anaplan) is a plus.
Skills:
- Strong analytical and problem-solving skills.
- Proficient in Excel and data visualization tools (e.g., Tableau, Power BI).
- Knowledge of CRM systems (e.g., Salesforce) and ERP systems.
- High attention to detail and ability to manage sensitive data.
- Strong communication skills and ability to explain complex topics to non-technical audiences.
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