Incentive Compensation Analyst

Remote Full TimeUnited States (Remote)Tundra Technical Solutions

Role Overview

We are seeking an Incentive Compensation Analyst to support a pharmaceutical company’s Incentive Compensation team through data analysis, business investigations, and sales performance reporting.

What You Will Do

Conduct ad hoc analyses related to sales performance, incentive compensation crediting, metrics, rankings, attainment, and payouts. Investigate and resolve field and stakeholder inquiries through data analysis, research, and direct communication.

Why It Might Be a Fit

The ideal candidate has experience in pharmaceutical sales analytics or incentive compensation, strong analytical skills, and the ability to work independently in a fast-paced environment.

Requirements

  • 3–5 years of pharmaceutical analytics experience, preferably focused on incentive compensation, sales operations, or sales performance analytics.
  • Experience supporting pharmaceutical sales across multiple therapeutic areas, including primary care and specialty care markets.
  • Familiarity with pharmaceutical data sources such as IQVIA Xponent, PlanTrak, DDD, LAAD, SP & SD data, HCP/HCO affiliation data, HUB, and Veeva Compass.
  • Strong understanding of incentive compensation concepts, including crediting, metrics, rankings, attainment, and payouts.
  • Advanced Excel skills and proficiency with SQL or similar tools for querying, validating, and combining data.
  • Experience conducting impact assessments, scenario analyses, and evaluating incentive plan or business rule changes.
  • Ability to translate complex analytical findings into clear business insights and recommendations.
  • Experience preparing reports and presentations for leadership and communicating directly with business stakeholders.
  • Strong written and verbal communication skills, attention to detail, and commitment to data accuracy.
  • Bachelor’s degree in Business, Finance, Statistics, Economics, Mathematics, or a related quantitative field, or equivalent experience.

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To apply for this job please visit linkedin.com.

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