Top Food Data & Analytics Jobs in Chicago, IL

The Data Engineer Co-op will work on web data feeds, utilize AI technologies and frameworks, and develop data pipelines.

The RGM Insights Manager analyzes data to develop insights for Revenue Growth Management strategy, leads market research, and creates executive presentations. This role synthesizes multiple data sources to inform pricing and promotional strategies while managing stakeholder communications.

The CPFR Analyst will enhance customer satisfaction by improving collaborative planning and driving continuous improvement initiatives within the supply chain. Responsibilities include analyzing forecasting trends, executing value-added services, identifying data insights, and collaborating with multiple functional teams.

Lead Toast's credit risk strategy, overseeing portfolio management, product growth, and analytics while ensuring compliance with regulations and mentoring analysts.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

The M&A Analyst supports M&A transactions, develops business cases, analyzes data and financial models, and coordinates due diligence efforts for acquisitions and divestitures.

The Senior Analyst will engage with clients to identify growth opportunities, deliver insights, manage relationships, and provide training on SPINS data.

Use syndicated POS, panel, and shopper data to generate actionable category insights, shape assortment, promotions, and product strategy, and create compelling retailer and leadership presentations. Collaborate cross-functionally to monitor market trends, advance analytics capabilities, and grow Feastables' share in confections and broader CPG categories.

The Senior Analytics Engineer will develop production-grade data products, promote AI-enabled decision intelligence, and enhance analytics practices across the organization.

As a Sr Data Engineer, you'll design and optimize data pipelines for marketing insights, working with cross-functional teams to support data governance and performance measurement.