Buccellati is an Italian jewellery, high-jewellery and silversmithing Maison founded in 1919, admired in the world for its craftmanship and the uniqueness of its creations. Today, the Buccellati jewels stand out for their design and for the techniques used to create them, such as the hand-engraving technique, dating back to the goldsmithing traditions of the Italian “bottega” of the Renaissance times.
The Maison’s unrelenting desire to create objects of rare beauty has made Buccellati renowned in the world for a style that is distinct, inimitable and imbued with sophisticated Milanese heritage, at once glamourous and contemporary.
The Maison has been part of the global luxury group Richemont since September 2019 and the Buccellati family is still present in the Company to perpetuate its style and unparalleled craftsmanship tradition.
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 interview. Otherwise, you will receive an e-mail to inform you that we will not proceed with your application.
- If the first interview turns out to be successful, you’ll meet the Senior Manufacturing Controller.
Skills Required
- Bachelor's or Master's degree in Management Engineering, Data Science, Finance, Economics, or a related field
- Previous experience or internship in FP&A, data analysis, or a similar finance role
- Advanced proficiency in Microsoft Excel
- Advanced proficiency in Power BI
- Experience managing large datasets and extracting business insights through data visualization and storytelling
- Strong analytical and quantitative skills with a structured, data-driven mindset
- Italian fluency, spoken and written
- English fluency, spoken and written
- Experience with SAP and Anaplan
What We Do
Richemont is a leading luxury goods group that owns prestigious Maisons recognised for excellence in jewellery, watches, fashion and accessories. Its central and regional functions guide, support and challenge these Maisons and businesses, helping them design timeless creations and innovative services while preserving their unique heritage. The Group also helps them thrive in new and existing markets, maintain high service standards and embed sustainable practices across operations.
