Client Manager
Honor
Sr. Sales Compensation Analyst
Sophos
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $115,000 - $191,000 per year
Job Level
Senior
Tech Stack
CloudCyber SecurityTableau
About the role
- As a Sales Compensation Strategy Analyst, you’ll support the planning, analysis, and execution of scalable sales compensation strategies. You'll work cross-functionally with Sales, RevOps, Finance, and HR to ensure that our incentive plans are aligned with company goals, motivating to our sales team, and grounded in data.
- This is a high-impact role for someone who is analytical, detail-oriented, and eager to learn how smart compensation design can influence sales performance in a fast-paced SaaS environment.
- Assist in the development and rollout of annual sales compensation plans.
- Support the quota-setting process by analyzing historical data, territory and/or product performance, and sales capacity.
- Maintain documentation and communication of sales commission policies and procedures.
- Analyze sales performance and compensation data to identify trends, anomalies, and opportunities for improvement.
- Provide monthly and quarterly reporting on attainment and plan effectiveness.
- Help streamline and document compensation workflows, including plan approvals, changes, and exception processes.
- Collaborate with Sales, RevOps, Finance, and HR teams to collect input and align on compensation strategy.
- Support the compensation team during sales kickoffs, quarterly reviews, and plan rollout communications.
Requirements
- Bachelor’s degree in Finance, Business, Economics, Statistics, or a related field.
- 3 - 5 years of experience in Sales Operations, Compensation Analysis, Finance, or a related analytical role—preferably in a SaaS or tech company.
- Strong analytical and problem-solving skills with advanced proficiency in Excel.
- Experience working with Anaplan and/or sales compensation tools (e.g., CaptivateIQ, SalesForce, Xactly) is a plus.
- Detail-oriented and organized, with a commitment to data accuracy and consistency.
- Strong written and verbal communication skills; ability to present findings clearly to non-technical audiences.
- Curious, resourceful, and eager to grow in a high-growth, data-driven environment.
- Experience with business intelligence tools (e.g., Looker, Tableau, Power BI) preferred.
- Familiarity with SaaS sales models and terminology (e.g., ARR, ACV, bookings, churn, expansion) preferred.
