Prada Group Wholesale Order Management Intern

Terranuova Bracciolini • Italy

Monday, September 1, 2025

Established in 1913 in Italy, the Prada Group has built a legacy of excellence with a vision for innovation. As a global leader in the luxury sector, the Group operates in over 45 countries under the brands PRADA, Miu Miu, Church's, and Car Shoe, employing individuals from more than 100 nationalities.

1. Conduct detailed observations of processes from order entry and production planning to warehouse returns and distribution across sales channels.
2. Update reports with scheduling and customization using PowerBI.
3. Develop order progress reports, delivery plans, and monitor delivery delay risks.
4. Create graphical reports using PowerBI and manage reports on assigned KPIs.

1. Degree in Economics, Management, Statistics, or equivalent.
2. Initial experience in data analysis is advantageous.
3. Proficiency in Excel (e.g., Pivot tables) and PowerPoint.
4. Interest in data analysis and interpretation to support decision-making processes.
5. Basic knowledge of data management and visualization tools such as Power BI and advanced Excel.
6. Ability to work in a team, with precision and result orientation.
7. Good command of the English language.

1. Data analysis
2. Report generation
3. Proficiency in PowerBI
4. Advanced Excel skills
5. Team collaboration
6. Attention to detail
7. English proficiency

Initial experience in data analysis is considered a plus.

Degree in Economics, Management, Statistics, or equivalent.

The role offers the opportunity to work in a creative and international environment, fostering professional growth and valuing talent and passion.

Joining the Prada Group means being part of a creative and international environment, with teams motivated by curiosity and the pursuit of excellence. The Group values diversity and is committed to providing an inclusive workplace, ensuring equal opportunities for all candidates regardless of gender, ethnicity, sexual orientation, disability, or other personal characteristics.