Miu Miu Business Analytics Manager

2 settimane fa


Milano, Italia PRADA A tempo pieno

Founded in 1913 in Italy, the Prada Group was built on a tradition of excellence and with a vision of innovation. Our Iconic Brands include PRADA, Miu Miu, Church’s, Car Shoe and Pasticceria Marchesi and we are currently operating in more than 45 Countries, embracing employees of more than 100 nationalities.
Joining our Company means working in a creative and international environment, with teams of people motivated by curiosity and the quest for excellence. The engine of our success is the importance and value that we place on the talent and passion of our people leading to their own professional growth.
JOB PURPOSE
The Miu Miu Business Analytics Manager operates within the Miu Miu Business Analytics & Budgeting team on brand analysis and reporting processes for the reference product categories (Leather Goods, Footwear, RTW); to assist and support the Retail Merchandising functions in each analytical, qualitative and quantitative process aimed at determining the strategic choices for product distribution in markets.
RESPONSIBILITIES
Prepare the sales budget, forecast by product category/family/material/price range in cooperation with the company functions involved in the process, such as Retail Merchandising, Retail Customer Service, etc.
Define the buying requirement by price range and budget class by product category.
Prepare forecasts and charts on the life cycle of products and on periodic plans.
Prepare the materials for product replenishments and order analyses.
Prepare commercial reports.
Monitor marketing strategies and product positioning of competitors.
Constantly liaise with the international structures in charge in order to share documents and analyses.
Please consider that the activities described above are only to summarize the entire role and are not exhaustive.
KNOWLEDGE & SKILLS
Economic background.
Similar 5-8 years experience in this role.
Analytical mindset and passion for numbers.
Skilled in digital work and data processing and consolidation.

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