About The Role

• The Warehouse Supervisor will coordinate the daily warehousing activities. He/she will implement receipt, cleaning of Cocoa Bean, maintaining good product quality standard, adhering to Environmental Health & Safety and customer service standards and achieve the appropriate level of volume within time limits.
• The successful candidate will ensure that daily operations meet and exceed performance expectations and to increase the company’s overall market share and manage the overall operations within Sagamu Warehouse . This role reports to the Operations Manager and will based in Sagamu, Ogun State.

Key Responsibilities

• Oversee the reception, production, storage and stuffing of cocoa beans
• Ensures inventories are accurate and control inventory levels by ensuring physical counts are conducted and reconciled with the system balance regularly
• Ensure all safety procedures are adhered to
• Maintain proper documentation and record keeping
• Effectively supervise activities of warehouse staff
• Provide daily/weekly/monthly reports of warehouse activities (Stock Count, Production, etc.)
• Provide firm leadership backed with integrity
• Serve as back up for Agromex operations
• Work effectively with other business units
• Maintain quality throughout each operational stage/process

About You

• Bachelor’s degree or HND in Supply Chain, Social Science or any other relevant qualification with at least 3 years’ experience in warehousing/inventory management. Project management will be an advantage
• Previous work experience in an agricultural commodity warehouse will be an advantage
• Proficient in Microsoft applications with good working knowledge of ERP tool like Agromex
• Good knowledge and application of Health, Safety and Environment (HSE) principles
• Ability to generate and report useful warehouse inventory data
• Good interpersonal, communication with strong people and organizational management skills
• Attention to detail with a high level of honesty and integrity
• Strong culture for results, data analysis, service and customer satisfaction management