FP&A Manufacturing Data Analyst Trainee
Pubblicato il 03-10-2026 - Buccellati in Milano
We are looking for a brilliant and tech-savvy Financial Data Analyst Trainee to join our Milan HQ.
The Financial Data Analyst Trainee will support the FP&A; team in ensuring accurate financial and operational data management through advanced reporting, dashboarding, and analytics. Reporting directly to the Senior Manufacturing Controller, he/she will contribute to transforming data into actionable insights to support strategic decisions.
Do you match this profile?
• Bachelor/Master’s degree in Management Engineering, Data Science, Finance, Economics, or related fields.
• Previous experience (or internship) in FP&A;, Data Analysis, or similar finance roles with strong exposure to data tools.
• Advanced proficiency in Microsoft Excel and Power BI; experience with ERP systems (SAP) and planning tools (Anaplan) is a strong plus.
• Strong analytical and quantitative skills, with a structured and data-driven mindset.
• Ability to manage large datasets and extract business insights through data visualization and storytelling.
• Proactive, detail-oriented, and eager to work in a fast-paced,
collaborative environment.
• Italian is mandatory (spoken and written).
• Fluency in English (spoken and written).
If so, apply for this job
What do we expect from you?
• Support financial planning and forecasting processes through data modeling and scenario analysis.
• Participate in monthly and quarterly closing activities, ensuring consistency across systems and data sources.
• Maintain, optimize, and develop dashboards and reporting tools (Power BI, Excel, etc.) to monitor financial and operational KPIs.
• Deliver ad hoc and structured analysis leveraging data science techniques to identify trends, anomalies, and opportunities.
• Contribute to the automation and digitalization of FP&A; processes, improving efficiency and data accuracy.
The Recruitment Process
• Apply online
• If your profile matches our search, you will be contacted by our HR team for a first exploratory intervi