Global womenswear and streetwear brand, Naked Wardrobe, is in search of an Inventory Control Analyst to join our fast-paced team. In this role, you will oversee and optimize inventory control procedures and processes. This candidate has a strong background in inventory management, data analysis, and supply chain operations.
Responsibilities:
Develop and implement inventory management strategies to maintain precise inventory records while providing data on in-stock products to aid in proper stock level management
Analyze inventory data using NetSuite as well as additional tools to identify trends to make informed decisions
Identify stock issues and inform merchandising of potential out-of-stocks and/or overstock situations
Collaborate with purchasing and sales merchandising teams to forecast product
Demands, and ensure adequate stock levels
Work cross-functionally with the warehouse, merchandising, production, and marketing teams to solve any and/or all inventory related issues
Keep up-to-date records of stock levels to manage and track incoming deliveries
Implement supply chain management duties to streamline operations
Implement inventory KPI’s such as shrinkage, stock variances, and fulfillment accuracy
Implement technology-driven solutions such as RFID tracking, and/or barcoding systems
Implement and enforce inventory control policies and SOPs
Oversee inventory audits, cycle counts, and reconciliation processes
Manage and optimize warehouse layout for efficient storage and retrieval of goods
Train and prepare team-members on inventory procedures and ensure compliance with company policies
Requirements:
5+ years of proven experience in Inventory Management in the apparel industry
Strong data analysis skills
Proficiency in Excel (Pivot Tables, VLOOKUP, Formulas)
Background in multi-location inventory management
Knowledge of supply chain management principles and practices
Proficiency in NetSuite a must
Experience in financial modeling for inventory cost analysis
Ability to create data visualizations to communicate key metrics effectively