Posizione
JOB POSITION: Scheduling Data Analyst & Business Intelligence
Job Scope And Main Responsibilities
We are seeking a highly skilled and detail-oriented Data Analyst to lead the data analysis efforts in optimizing supply chain planning processes. The ideal candidate will be responsible for driving data-driven decision-making by providing insights into inventory management, demand forecasting, production planning, and logistics optimization across the supply chain.
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.
STRATEGY and KEY TASKS
* Collaborate with planning teams to analyze historical data.
* Identify trends, patterns, and areas for improvement through data analysis. Recommend actionable strategies to optimize supply chain operations, reduce costs, and improve service levels.
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 logistical challenges.
* Excellent communication, problem-solving, and organizational skills.
* Drives Engagement;
* English Advanced knowledge (B2 or more);
* Excel Advanced knowledge;
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