Position Overview

As an Incentive Compensation Analyst, you play a critical role in driving sales force performance by designing, analyzing, and administering fair and strategically aligned incentive compensation programs. This role directly supports business goals by linking corporate strategy to compensation metrics, supporting quota setting, calculating incentive payouts, and delivering actionable insights to commercial stakeholders. Through continuous improvement, strong analytical capabilities, and cross-functional collaboration, the Incentive Compensation Analyst helps optimize sales effectiveness and engagement.

We’re looking for:

A detail-oriented analyst with experience in incentive compensation plans

A strategic thinker who can translate performance data into compensation insights that motivate behavior and drive growth

A collaborative team player who can work across commercial, data, and operations teams

An effective communicator who can clearly explain plan mechanics, quota methodologies, and payout processes to stakeholders at all levels

An analytical problem-solver who proactively identifies data issues, uncovers trends, and delivers actionable recommendations

Responsibilities

Design Incentive Compensation Plans

Design, validate, and communicate incentive compensation plans and special incentive programs (SPIFs, contests) aligned with role mandates and business objectives

Conduct modeling and scenario analysis to evaluate the impact of compensation plan changes

Monitor plan effectiveness and provide proactive reporting on IC effectiveness, sales results, and behavioral impact

Leverage Sales Performance Management (SPM) tools to drive automation, ensure accuracy, and strengthen documentation and controls around incentive compensation (IC)

Establish Sales Quotas

Set data-driven sales quotas using performance trends and forecasting models

Ensure quota methodologies align with sales strategy, market opportunity, and historical performance trends

Communicate quotas clearly to field sales with supporting rationale and data

Calculate and Administer Payouts

Manage the accurate and timely calculation of incentive payouts based on performance metrics defined in the compensation plans

Collaborate with legal, accounting, and audit to establish and maintain scalable processes to support audits

Support inquiry resolution by field teams regarding payout accuracy, performance metrics, and plan rules

Conduct regular audits and validations of compensation data to ensure compliance and integrity

Analyze and Optimize Compensation Performance

Conduct root cause analysis on compensation outcomes and develop recommendations to drive higher performance and ROI

Support automation and self-service reporting for commercial stakeholders using dashboards and training

Collaborate Cross-Functionally

Collaborate with sales, marketing, finance, and other sales ops resources to ensure transparency and alignment during the quota-setting process

Serve as a trusted advisor to business leaders by connecting data insights with compensation strategies

Support ad-hoc analysis and special projects related to commercial growth, plan design, or business process improvements

Education and Experience

Bachelor’s degree in business, finance, economics, data analytics, or a related field required

Experience in incentive compensation, sales operations, commercial analytics, or related roles

Experience in healthcare, life sciences, or commercial operations preferred

Experience working with cross-functional teams in a commercial or sales-driven environment

Experience with data tools such as Excel (advanced), Power BI, and basic VBA skills a plus

Skills and Competencies

Proficient in incentive compensation and SPM tools (e.g., IQVIA Incent, Anaplan)

Proficient in data storage, reporting, and analysis tools (Excel, Tableau, Salesforce) to analyze data and deliver insights that drive strategic decisions

Analytical mindset with the ability to connect market data to incentive compensation plans and identify optimization opportunities

Demonstrated ability to support data-driven decision-making through structured analysis and modeling

Problem-solving skills to anticipate execution issues in the field and collaborate cross-functionally to resolve them

Cross-functional collaboration skills to ensure alignment with sales leaders, operations teams, and data strategy groups

Flexible and capable of managing multiple priorities in a dynamic environment

Strong communication and visualization skills to translate complex data into clear, actionable recommendations

Physical Requirements

Travel requirements: Limited travel may be required, once or twice a year on average.

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