Global Supply Chain Data Analyst: Predictive Insights

Menarini Group; Firenze; In loco; EUR 38.000 - 60.000; Tempo pieno

Descrizione del lavoro

Menarini Group in Firenze, Italy, seeks a Supply Chain Data Analyst to transform complex datasets into predictive insights for global planning and performance monitoring.

The role focuses on designing and managing supply chain processes, building IT tools for end-to-end processes, and coordinating KPI measurements across regions, with hands-on data analysis, training, and collaboration with IT partners.

Competenze

• Bachelor's or Master's degree in Engineering, Statistics, Mathematics, or Data Science.
• 3+ years of experience in similar roles.
• Ability to handle large data sets with Excel macros; knowledge of SAP and Power BI is a plus.
• Strong problem solving, proactive and hands-on attitude; good English.

Mansioni

• Design and manage development of Supply Chain processes with focus on network planning and demand generation and propagation.
• Design and manage IT system tools supporting Supply Chain processes to achieve Global Excellence.
• Draft and revise Corporate documentation related to Supply Chain processes.
• Conduct training courses related to Corporate Supply Chain processes and systems.
• Coordinate Supply Chain KPIs measurement and development.
• Supervise order delivery plan management; the report is the data source for KPI calculation.
• Support Regional/Affiliates/Site Supply Chain colleagues, System Integrators and IT vendors.

Conoscenze

Problem solving

Proactive

English language

Formazione

Bachelor's or Master's in Engineering/Statistics/Data Science

Strumenti

SAP

Power BI

Excel

Descrizione del lavoro

Menarini Group in Firenze, Italy, seeks a Supply Chain Data Analyst to transform complex datasets into predictive insights for global planning and performance monitoring.

The role focuses on designing and managing supply chain processes, building IT tools for end-to-end processes, and coordinating KPI measurements across regions, with hands-on data analysis, training, and collaboration with IT partners.