Warehouse Supervisor

Description

Job Summary: Supervises and ensures the proper execution of CEDIS operations—from receiving through shipping—optimizing productivity, inventory accuracy, and delivery times. Key Highlights: 1. Leadership in CEDIS operations and operational team management 2. Responsible for ensuring inventory accuracy and KPI compliance 3. Opportunity to implement improvements in logistics processes **Position:** Warehouse Supervisor – CEDIS Job Objective Ensure the proper execution of CEDIS operations (receiving, storage, picking, and shipping), guaranteeing productivity, inventory accuracy, and on-time delivery performance. Main Responsibilities Supervise receiving processes Coordinate and manage operational staff Ensure compliance with operational KPIs Control inventories through cycle counts and audits Validate system entries and exits **Identify deviations:** shrinkage, discrepancies, picking errors Coordinate shipping routes with logistics/transportation Ensure order, cleanliness, and compliance with safety standards Implement process improvements (lean, time reduction, error reduction) Prepare daily operational reports Required Knowledge CEDIS / distribution center operations Inventory control (cycle counts, adjustments) **KPI Management:** Productivity per hour Service level Inventory accuracy OTIF (On Time In Full) Industrial safety and equipment handling (forklifts) Skills Operational leadership (management of large teams) Planning and organization Decision-making under pressure Results orientation and goal achievement Effective communication with teams and departments (transportation, procurement, stores) Conflict resolution Requirements **Education:** Technical degree or Bachelor’s degree in Logistics, Administration, or related field **Experience:** 2–4 years in CEDIS or high-volume warehouses Intermediate Excel proficiency (tables, KPIs) Supervisory experience (minimum 10–20 direct reports) Shift flexibility (rotating shifts) Key Competencies Results orientation Sense of urgency Operational discipline Data analysis Teamwork