Manager - Supply Chain Planning & Forecast Analytics Apply Now
Supply Chain Planning & Forecast Analytics
Balta Rugs, one of the world’s largest producers of area rugs, is expanding its US operation and hiring in multiple areas of the business – including the role of Manager - Supply Chain Planning & Forecast Analytics. This key role is responsible for leading the team overseeing the analysis and flow of products to major North American retailers, leveraging Balta’s vertically integrated global supply chain. In close collaboration with colleagues in leadership, sales, marketing, business intelligence, our plants, as well as our key customers, this role is the heart beat of our US operation.
Essential Duties and Responsibilities:
Manage and oversee US supply chain & forecast analytics team, in close collaboration with sales and operations in US, Belgium & Turkey
Oversee North American replenishment models for retail & e-commerce channels
Reviews retailer ordering patterns, POS, and forecasts to create supply chain strategies that meet service level agreements at optimal costs.
Leverages suite of existing statistical & financial tools/models to support supply chain improvements in costs and service – while striving for continuous improvements and enhancements
Creates orders, and systematically track progress in the supply chain
Oversee stock levels in US distribution centers, collaborating with and providing guidance to sales and operations teams
Project manages the supply chain portion of product lifecycles from launch to end-of-life, in collaboration with sales and product development
Create and present management and customer facing presentations on topics related to business responsibilities
Collaborates with multi-disciplinary teams such as Sales, Marketing, Operations and Finance under multi-cultural environments.
5 years’ experience in supply chain planning & forecasting
Bachelor’s Degree Required: Supply Chain, Logistics, Operations, Industrial Engineering, or other analytical studies is preferred
Experience analyzing large data sets
Demonstrated experience utilizing business & data visualization – preferably Power BI