**Position**:
**JOB POSITION: Scheduling Data Analyst & Business Intelligence**
**JOB SCOPE AND MAIN RESPONSIBILITIES**
**AREAS OF RESPONSIBILITIES AND RELATED ACTIVITIES**:
- Lead the collection, analysis, and interpretation of supply chain data, focusing on key areas such as demand forecasting, inventory levels, production schedules, and logistics performance.
- Develop and maintain key performance indicators (KPIs) to monitor supply chain efficiency, stock-outs, lead times, and on-time deliveries.
- Work closely with various teams, including procurement, logistics, production, and sales, to ensure data-driven decisions are integrated across all supply chain functions.




- Ensure data integrity and accuracy across all systems and reports, enforcing data governance best practices.
- Develop and deliver regular reports and visualizations to senior management, providing insights and recommendations to support strategic decision-making.
- Manage and optimize the use of supply chain planning software (e.g., SAP, Oracle, Excel, Power BI) to facilitate data analysis and reporting processes.Gestione follow up aree produttive everso Central Supply Chain, analisi critica dei dati e alert adeguati coinvolgendo le strutture di Planning, Procurement, Capacity, Sviluppo Prodotto, etc.**Job responsibilities**:
**STRATEGY and KEY TASKS**
- Collaborate with planning teams to analyze historical dataIdentify trends, patterns, and areas for improvement through data analysis. Recommend actionable strategies to optimize supply chain operations, reduce costs, and improve service levels.**Profile**:
**TECHNICAL SKILLS - PORTRAIT OF A PERFECT CANDIDATE**
- Bachelor's degree in Supply Chain Management, Logistics, Industrial Engineering, or a related field.
- Proven experience in capacity planning and logistics management, preferably in a manufacturing or production environment.
- Strong understanding of production processes,



inventory management, and supply chain optimization.
- Advanced statistical and analytical skills, with the ability to derive actionable insights from complex data sets.
- Strong communication and presentation skills, with the ability to convey complex data findings to both technical and non-technical stakeholders. Ability to work collaboratively with cross-functional teams to solve complex logístical challenges.
- Excellent communication, problem-solving, and organizational skills.
- Drives Engagement;
- English Advanced knowledge (B2 or more);
- Excel Advanced knowledge;
**_CHRISTIAN DIOR _**
**MAISON***:
- “Whatever you do - whether for work or pleasure - do it with passion! Live with passion,” _wrote Christian Dior.
Well before he embarked on his destiny as a couturier, Christian Dior was fascinated with art. The young Normandy native and several friends opened an art gallery when he was just 23.



In 1938 he learned the métier of pattern cutter with Robert Piguet and three years later began working as a designer for Lucien Lelong. Right from the founding of his Maison in 1946, he transformed his dreams into irresistible creations, seeking to break with the somber war years by elevating pure joy. His visionary spirit celebrated and enchanted women the world over. In only ten years, Monsieur Dior revolutionized the conventions of elegance and femininity, designing collections infused with dreams.