Senior Compensation Strategist, Life Sciences Analytics
1 month ago
We are seeking a Senior Compensation Strategist to drive strategic insights on incentive compensation, targeting, and alignment in the life sciences industry.
About UsKMK Consulting Inc. is a leading global data analytics and technology consulting firm dedicated to empowering leaders in the life sciences sector with data-driven insights for improved decision-making.
Responsibilities- Lead projects related to oncology/rare disease incentive compensation (IC) design and operations.
- Collaborate with Sales and Marketing stakeholders to develop and design compensation strategies and plans that enhance sales performance.
- Provide analytical support in Salesforce alignment, call planning/targeting, and incentive compensation.
- Utilize programming and software to develop processes supporting IC and call planning.
- Generate reports on call planning, incentive compensation, and alignment.
- Support incentive compensation and alignment initiatives to optimize field resource investments.
- Apply advanced techniques for resource optimization and allocation using econometric and statistical modeling.
- Oversee and manage incentive compensation and targeting contractors.
- Manage relationships with stakeholders, including sales and marketing heads and General Managers, by creating presentations and facilitating meetings.
- Analyze field performance with contemporary data tools to recommend appropriate resourcing levels.
- Create and manage quarterly alignment, call plans, sales goals, and payouts, and oversee vendor collaboration for outsourced processes.
- Bachelor's degree in Computer Science or a related field.
- At least 7 years of business experience in analytics, particularly within pharmaceutical commercial analytics.
- Extensive experience in Incentive Compensation Design & Operations, with a focus on oncology/rare disease.
- Proven experience in managing both onshore and offshore teams.
- Experience in account management/business development.
- Proficiency in SQL and data visualization tools such as PowerBI or Tableau is essential.
- Experience with SAS/Python software or R is a plus.
The estimated salary for this position is $120,000 - $160,000 per year, depending on location and experience.
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