Skill
Supply Chain Analytics
Data Science, Analytics and AI/ML
Supply chain analytics is the use of data analysis techniques, statistical models, and software tools to gain insights into supply chain performance and drive better decision-making. Analysts examine data on inventory levels, shipping times, demand patterns, and supplier performance to identify inefficiencies and forecast future needs. It is used by supply chain managers and data analysts to optimize logistics, reduce costs, and improve forecasting accuracy.
Open roles requiring Supply Chain Analytics (1)
S&C Global Network - AI - Supply Chain Analytics - Manager
Accenture
A management role focused on designing and delivering supply chain analytics solutions for Accenture's global clients, combining strategic advisory with technical expertise in data-driven optimization. The position suits analytically strong leaders with consulting background and deep supply chain domain knowledge who want to drive business transformation across multiple accounts.
Listed on Accenture’s careers site · Apply there ↗
Roles that use Supply Chain Analytics
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.