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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 a forward-thinking vision. 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.

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

POSITION SUMMARY

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 mechanisms. This position aids and supports the Retail Merchandising functions through various analytical, qualitative, and quantitative tasks aimed at guiding strategic decisions for product distribution across markets.

KEY RESPONSIBILITIES


• Assist in the formulation of the sales budget and forecasts by product category, family, 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 range and budget classification by product category.

• Aid in the development of forecasts and visual representations regarding product life cycles and periodic planning.

• Contribute to the preparation of materials for product restocking and order evaluations.

• Assist in compiling commercial reports.

• Maintain regular communication with international teams to exchange documents and analyses.

REQUIRED SKILLS & QUALIFICATIONS

Background in economics or current studies in a related discipline.
Strong analytical skills and a passion for numerical data.
Proficient in digital tools and data processing techniques.
Excellent command of the English language.