Produce Demand Analyst

Baldor Specialty Foods, Inc. is a company focused on enhancing the efficiency of food distribution, and they are seeking a Produce Demand Analyst to own short-term demand forecasting. The role involves building and maintaining forecasting tools, collaborating with various teams to improve forecast accuracy, and providing analytical support for replenishment decisions.

What you'll do:

• Own and maintain short-term demand forecasts for Produce, incorporating year over year trends, seasonality, weather impacts, holiday effects, supply variability and marketing or promotional changes
• Deliver forecasts supporting daily procurement and replenishment decisions
• Identify anomalies, shifts, and structured risks in demand signals and communicate them proactively
• Enhance existing Excel-based forecasting tools with improved logic, time-series methods, and data automation
• Build scenario analyses to stress-test demand assumptions and support sourcing or pricing decisions
• Track forecast accuracy and bias at item and category levels, creating visibility and improvement plans
• Maintain documentation of forecasting methodologies, inputs, signals, and model updates
• Partner with Merchant III and Procurement to connect market conditions, supply intelligence, and sourcing timelines with demand expectations
• Work with Operations and Inbound teams to align forecasts with capacity, constraints, and seasonal throughput
• Support Finance with volume assumptions for category and portfolio planning
• Produce daily/weekly reporting packages including demand variance analysis, OOS drivers, trend insights, and category volume projections
• Highlight risks and opportunities to help Merch III adjust buy plans, promotional activation, and supplier communication

What they're looking for:

• Minimum 1–3 years' experience in forecasting, analytics, supply chain planning, data science, or related fields
• Advanced Excel skills required
• Strong analytical skills and comfort working with large datasets
• Ability to translate data into actionable recommendations for Merchants and Procurement teams
• Experience with time-series or statistical models