Demand Science Rotational Program

Job Description

Demand Science Rotational Program – Summer 2027 | Conagra Brands

The Tone:
This is a full-time rotational program at Conagra Brands, located in Chicago, IL. Conagra Brands is one of North America’s leading branded food companies, operating with an 18,000+ person team across over 40 locations. This role offers an opportunity to launch a career by gaining in-depth experience in consumer insights and demand forecasting, enhancing skills in data translation for marketplace predictions. The program is designed to provide consistent growth and individual development within the Insights & Analytics organization.

The TL;DR
• Role: Rotational Program (Summer 2027)
• Type: Full-time
• Location: In-person, Chicago, IL
• Pay: $59000–$79000 yearly
• Team: Insights & Analytics organization
• Mission: Translate analytics into marketplace predictions and sense, shape, and predict demand to drive superior marketplace relevance and success.
• Tech Stack: Microsoft Excel, Microsoft PowerPoint

What You’ll Actually Do
• Data Synthesis: Gain hands-on experience synthesizing extensive data sources including syndicated data, social listening, sales, and forecasting.
• Process Improvement: Partner with business process owners to analyze, design, and implement systematic processes and process improvements.
• Demand Forecasting: Lead the monthly forecasting process by collaborating with sales, brand, supply chain, and finance to produce forecasts reflecting trends and future initiatives.
• Data-Driven Recommendations: Collaborate with Insights & Analytics professionals to create data-driven recommendations and narratives to influence cross-functional business decisions.
• Analytic Capability Development: Develop capabilities for analytic approaches used to sense, shape, and predict demand for superior marketplace success.

The Must-Haves
• Background: Completion of a Bachelor’s degree no later than June 2027; general understanding of business, financial concepts, and theory behind processes; a desire to be a leader and grow within the Insights & Analytics organization.
• Experience: Proficiency in Microsoft Excel and PowerPoint for data analysis and presentation; demonstrated leadership abilities including collaboration, influencing, agility, critical thinking, and self-starting.
• Skills: Ability to analyze data, develop insights, and communicate recommendations through clear, compelling presentations; passion for data and problem-solving with the capacity to convert analytic results into value-added strategies.