Senior Fashion Analytics & Merchandising Planner

Miu Miu; Lombardia; On-site; EUR 35,000 - 38,000; Full time

Job summary

Prada Group is seeking a Business Analyst to join the Miu Miu Business Analytics and Merchandising Planning team in Italy. You will analyze sales data, product performance, and purchasing behavior across brands and categories, turning data into strategic insights to support business decisions.

You will create reports and dashboards (Excel, Power BI) and help develop budgets while collaborating with Merchandising, Product and Production teams to improve decision making. Fluent English is required.

Qualifications

• 3-5 years of experience in Business Analysis / Data Analysis roles, preferably in fashion or multi-category retail environments.
• Strong knowledge of data analysis tools, particularly advanced Excel, PowerPoint and Power BI.
• Fluent English, both written and spoken.

Responsibilities

• Analyze sales data, product performance, purchasing behavior and KPIs, providing strategic and operational insights across brands and categories.
• Produce reports and dashboards to monitor trends, anomalies and opportunities using Excel and Power BI.
• Develop sales and purchasing budgets for brand licenses and monitor category performance.
• Provide analytical support to the Collection Merchandising team through customized reporting.
• Collaborate with Merchandising, Product and Production teams to optimize decision-making and improve analyses.

Skills

Data analysis

Analytical thinking

Communication

Tools

Excel

Power BI

PowerPoint

Job description

Prada Group is seeking a Business Analyst to join the Miu Miu Business Analytics and Merchandising Planning team in Italy. You will analyze sales data, product performance, and purchasing behavior across brands and categories, turning data into strategic insights to support business decisions.

You will create reports and dashboards (Excel, Power BI) and help develop budgets while collaborating with Merchandising, Product and Production teams to improve decision making. Fluent English is required.