Scheduling Data Analyst & Business Intelligence Firenze

Scheduling Data Analyst & Business Intelligence
Firenze
Toscana, Firenze

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. Job responsibilitiesSTRATEGY 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. ProfileTECHNICAL 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);

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