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Menarini Group

Global Supply Chain Data Analyst

Menarini Group Florence, Tuscany, Italy

Pharmaceutical Manufacturing · 10,001+ employees

21 h ago
data-analyst Mid (2-5 yrs) Other Italy
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About the role

The role involves designing and managing supply chain processes, including network planning and demand generation. Additionally, the analyst will coordinate KPI measurement, develop IT system tools, and provide support to regional and affiliate supply chain teams.

What they look for

Supply chain management Data analysis Network planning Demand generation KPI measurement Excel macros SAP Power BI Problem solving Process development Data science Statistics Engineering

Requirements

Candidates must hold a Bachelor's or Master's degree in Engineering, Statistics, Mathematics, or Data Science. A minimum of 3 years of experience in a similar role is required, along with proficiency in data analysis and Excel macros.

Full description

Overview

Tre Global Supply Chain Data Analyst turns complex datasets into predictive insights.

Main Activities & Responsibilities

  • Design and Manage the development of Supply Chain processes with focus on network planning and all the in-place rules for demand generation and propagation.
  • Design and Manage the development of IT system tool supporting Supply Chain processes to achieve the Supply Chain Excellence at Global Level.
  • Supporting the drafting and revision of Corporate documentation related to Supply Chain processes
  • Conducting training courses related to Corporate Supply Chain processes and systems.
  • Coordinate the Supply Chain KPIs measurement and development.
  • Supervision of Order delivery plan management according to the customer service procedure; the report is the data source of all supply KPI calculation.
  • Support Regional/Affiliates/Site Supply Chain colleagues, System Integrators and IT vendors.

Job Requirements

  • Bachelor's Degree or Master Degree in Engineering, Statistics, Mathematics, Data Science.
  • 3+ years of experience in similar roles.
  • Capacity to handle big quantity of data with excel macros and show meaningful. analysis/trends(Knowledge of SAP system and Power BI tool is a plus).
  • The ideal candidate should have problem solving skills, good command of the English language, he/she should be proactive and hands on.

The selected candidate will be employed under Category C in accordance with the provisions of the current National Collective Bargaining Agreement (CCNL) for the Chemical and Pharmaceutical Industry, including all applicable contractual and remuneration terms, and in compliance with Legislative Decree No. 96/2026.

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