Senior Incentives Analytics Lead

Nestlé Health Science

Eden Prairie (MN)

Hybrid

USD 83,000 - 105,000

Full time

14 days+
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Benefits offered by this job

401k with company match
Healthcare coverage
Broad range of benefits

Job summary

Nestlé Health Science is seeking a qualified professional to join the Incentives team. This role supports Medical Nutrition and Atrium sales organizations with accurate incentive data and helps modernize incentive execution through automation and data-driven insights.

The ideal candidate will work cross-functionally with a 150+ person sales force, leadership, and IT to translate complex data into actionable outcomes that drive performance and credibility.

Qualifications

  • BS/BA in business, management or related field preferred.
  • 5 years of relevant job experience is preferred.
  • Extremely organized, disciplined team player with focus on accurate results.
  • Digital mindset and familiarity with automation tools to gain efficiencies.
  • Strong analytical skills and experience using Excel, Power BI or similar programs.

Responsibilities

  • Manage and research account assignments across the sales teams with emphasis on incentive payouts.
  • Execute and improve incentive plan documentation using digital tools.
  • Interpret sales and distributor data to identify trends, risks and opportunities.
  • Refresh and evolve incentive reporting and modeling to align with business needs.
  • Collaborate with IT to advance automation of incentive processes and improve accuracy.

Skills

Experience
Analytical skills
Excel
Power BI

Education

BS/BA in business or related field

Tools

Automation tools

Job description

Nestlé Health Science is seeking a qualified professional to join the Incentives team. This role supports Medical Nutrition and Atrium sales organizations with accurate incentive data and helps modernize incentive execution through automation and data-driven insights.

The ideal candidate will work cross-functionally with a 150+ person sales force, leadership, and IT to translate complex data into actionable outcomes that drive performance and credibility.

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