The Supply Chain Data Analyst is responsible for transforming operational, procurement, inventory, production, logistics, and ERP data into actionable insights that improve supply chain performance across Watershed Foods and related manufacturing sites.
This analytical role designed is for someone who can work across departments, interpret imperfect data, identify operational inefficiencies, and communicate findings through clear data storytelling. The position will support supply chain decision-making by developing dashboards, improving reporting structure, supporting ERP migration efforts, and creating visibility into inventory risk, supplier performance, production alignment, purchasing activity, and warehouse performance.
Location:
This position will report directly to Watershed Foods in Gridley, IL. During the initial onboarding and training period, the selected candidate will be required to work onsite for the first several weeks. Following successful completion of training, the role will transition to a fully remote work arrangement.
Qualifications
Key Responsibilities:
Supply Chain Analytics and Reporting
- Develop, maintain, and improve supply chain dashboards, reports, and analytical tools.
- Analyze purchasing, inventory, production, warehouse, logistics, supplier, and customer service data to identify trends, risks, and improvement opportunities.
- Build reporting tools that help the business understand service levels, inventory exposure, supplier performance, material availability, and operational efficiency.
- Support recurring supply chain reporting for leadership, operations, procurement, finance, and executive review.
- Identify data gaps, process inconsistencies, and reporting limitations that reduce visibility or decision quality.
Cross-Departmental Data Integration
- Combine data from procurement, production, inventory, warehouse, logistics, quality, sales, customer service, and finance to identify operational efficiency opportunities.
- Analyze how decisions in one department impact performance in another.
- Support development of cross-functional metrics that improve alignment between supply chain, operations, commercial, and finance teams.
- Help identify bottlenecks, duplicate work, process delays, inventory imbalances, and cost drivers.
- Build tools that help departments make decisions from a shared version of the data.
Inventory and Planning Analytics
- Analyze inventory levels, days on hand, safety stock, reorder points, usage trends, and material availability.