Category Planning and Development Intern

Organic Valley
Cashton, Wisconsin, United StatesPosted Sep 14, 2026
Year-round

About the role

Category Planning and Development Intern

Summer Internship 2027: May 31st, 2027 - August 20th, 2027. Location – Low Hybrid This is a hybrid role, which means that you will have the flexibility to work both onsite and at a distance. You will collaborate onsite at our Cashton, WI office for 3-5 days per week and the rest of the time you can choose to work remotely or onsite. Employee Type – Hourly Bonus Eligibility – No Safety Sensitive – No

As an intern, you'll have the opportunity to contribute to meaningful work that supports this mission while gaining valuable hands-on experience. Beyond day-to-day projects, our internship program offers professional development opportunities, networking events with leaders across the cooperative, community involvement experiences, and connections with fellow interns. It's a chance to grow your skills, make an impact, and be part of an organization dedicated to creating a healthier future for people, animals, and the planet.

Summary of Role

We are seeking a motivated and analytical intern to support high-impact initiatives within our Category Planning and Development team. This internship offers hands-on experience in pricing strategy, shopper insights, and data-driven decision-making in the organic CPG industry.

Essential Duties and Responsibilities

Pricing & Revenue Growth Management

  • Help create actionable and executive-level price architecture reporting dashboards.
  • Benchmark pricing against identified competitive sets.
  • Analyze actual pricing versus base and promotional price recommendations.
  • Collaborate with cross-functional teams to refine pricing insights.
  • Support Revenue Growth Management (RGM) activities by conducting market pricing and trade spend reviews within the Trade Promotion Management (TPM) system.

Shopper Insights & Strategy Development

  • Help develop shopper-centric strategies for select retailers using behavioral and transactional data.
  • Analyze shopper panel data to support retailer-specific

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