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Business Analytics Trainee

2 mesi fa


Milano, Lombardia, Italia Miu Miu A tempo pieno

Company Overview

Established in 1913 in Italy, the Prada Group is rooted in a legacy of excellence and innovation. Our prestigious brands encompass PRADA, Miu Miu, Church's, Car Shoe, and Pasticceria Marchesi, with operations spanning over 45 countries and a diverse workforce representing more than 100 nationalities.

Work Environment

Joining our team means engaging in a dynamic and international atmosphere, surrounded by individuals driven by curiosity and a commitment to excellence. The cornerstone of our success lies in recognizing and nurturing the talent and passion of our employees, fostering their professional development.

Position Overview

The Miu Miu Business Analytics Trainee plays a vital role within the Miu Miu Business Analytics & Budgeting team, concentrating on brand performance analysis and reporting procedures. This position provides assistance and support to the Retail Merchandising functions through various analytical, qualitative, and quantitative tasks designed to inform strategic decisions regarding product distribution across markets.

Key Responsibilities

  • Assist in the preparation of sales budgets and forecasts categorized by product type, material, and price range in collaboration with relevant company departments, including Retail Merchandising and Retail Customer Service.
  • Support the identification of purchasing needs based on price ranges and budget classifications for different product categories.
  • Contribute to the development of forecasts and visual representations regarding product life cycles and periodic planning.
  • Help compile materials for product restocking and order evaluations.
  • Participate in the creation of commercial reports.
  • Maintain regular communication with international teams to exchange documents and analyses.

Qualifications

Candidates should possess an economic background or be pursuing studies in a related discipline. An analytical mindset and a strong affinity for numerical data are essential. Proficiency in digital tools for data processing and consolidation is required, along with a solid command of the English language.