Senior Analyst, Sales Performance & Compensation Reporting

Reporting to the Executive Director, Commercial Analytics & Performance Management Optimization, the Principal Analyst, Sales Performance and Compensation Reporting will serve as a central resource, partnering with various stakeholders to develop insights that will guide leadership, strategy, and sales team decisions and behaviors. You will play a pivotal role in optimizing sales performance through the development of sales performance reporting that provides actionable insights to leadership. This position requires a strong analytical mindset, excellent communication skills, and the ability to work collaboratively across multiple departments.

Data Analysis and Reporting:

• Analyze sales performance data to evaluate the effectiveness of compensation plans.
• Monitor key performance indicators including sales metrics to track performance against targets.
• Provide regular reports and insights to sales leadership and executive management based on actual and projected performance.
• Identify trends, issues, and opportunities for improvement.
• Develop and maintain dashboards and reports to provide actionable insights to sales leadership.
• Conduct in-depth analyses to support strategic initiatives and business decisions.
• Model cost impacts for annual sales incentive plan updates and requested what-if scenarios that could affect sales compensation expense.
• Measure and track the effectiveness of special incentive programs (SPIFs) that drive strategic initiatives.

Stakeholder Collaboration:

• Work closely with sales leadership to understand business needs and objectives.
• Partner with sales compensation teams to incorporate intricacies of plans and regional nuances.
• Collaborate with finance and HR to align compensation plans with financial and operational goals.

Compensation Plan Design:

• Support the design and development of sales compensation plans utilizing diverse data sets and performance-related analytical insights and trend analyses.
• Ensure compensation plans are effective and aligned with business goals and sales strategies.
• Incorporate market research and benchmarking to ensure competitiveness of sales incentive plans.

Strategic Planning:

• Support strategic planning initiatives with compensation-related insights and recommendations.
• Participate in the annual compensation review process and budgeting.
• Assist in long-term planning and forecasting for sales compensation expenses.

• Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Proficiency in data analysis tools and visualization software, such as Excel, SQL, Tableau, PowerBI, or similar.
• Excellent communication and presentation skills, with the ability to convey complex information to non-technical audiences.
• Strong organizational skills and attention to detail.
• Ability to work independently, balance multiple projects simultaneously, and thrive in a fast-paced, deadline-driven environment.
• Good interpersonal skills.
• Critical thinker and effective problem solver.
• Excellent written and verbal communication skills, with the ability to succinctly summarize key findings and articulate a clear story with data, then translate to marketing/business implications.

• Bachelor's degree in Business, Finance, Human Resources, or a related field.
• Minimum of 3-5 years of experience in sales operations, business analysis, or related role.
• Extensive experience in sales compensation analysis, design, and management.
• Strong analytical skills with the ability to interpret complex data sets and develop actionable insights.
• Proficiency in compensation management software and tools (e.g., Excel, SQL, compensation planning software).
• Excellent communication and presentation skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong attention to detail and organizational skills.
• In-depth knowledge of sales processes and best practices in compensation.
• Experience with sales performance metrics and incentive structures.
• Experience modeling complex scenarios using techniques such as Monte Carlo simulation or other algorithmic approaches is preferred.