Miu Miu Business Analytics Intern
- Employment
- Internship
- Seniority
- Intern
- Department
- Finance, Accounting & Revenue Management
- Industry
- Fashion, Apparel & Leather Goods
- Posted
- Sep 30, 2026
About Miu Miu
Miu Miu, founded in 1993 by Miuccia Prada and part of the Prada Group, is an iconic luxury fashion house celebrated for its irreverent elegance, intellectual femininity, and bold creative experimentation. As an employer, the brand offers a dynamic environment where heritage, contemporary culture, and innovation converge across design, retail, communications, merchandising, and corporate functions. Miu Miu seeks individuals with refined aesthetic sensibility, curiosity, commercial awareness, and a collaborative spirit. Employees are invited to contribute to a distinctive vision of modern luxury, supported by the excellence, global reach, and rigorous standards of one of the world’s leading fashion groups.
Miu Miu seeks a Business Analytics intern to support the analysis and monitoring of retail performance across the region. The intern will leverage business data and key performance indicators to provide actionable insights that inform business development and strategic decision-making, working collaboratively with internal stakeholders and regional teams.
Role & Responsibilities
- Monitor and analyse retail performance and key business KPIs across the store network, identifying trends, opportunities and areas for improvement
- Conduct daily, weekly, monthly and quarterly business analyses, consolidating data from multiple sources
- Prepare reports, dashboards and PowerPoint presentations to communicate key findings and actionable insights to stakeholders
- Support ad-hoc business analyses and projects, providing data-driven insights to support strategic and operational decision-making
- Collaborate with internal stakeholders and regional teams to ensure data accuracy, consistency and effective communication of business insights
Qualifications
- Bachelor's degree in Economics, Management Engineering, Business, Data Analytics or equivalent field
- Strong analytical and problem-solving skills with meticulous attention to detail
- Advanced proficiency in Microsoft Excel
- Fluent English language skills
- Excellent communication and presentation abilities
- Ability to work collaboratively in an international environment
Skills
Experience
Previous experience in Business Analytics, Retail Analytics, or Data Analysis is advantageous; however, candidates demonstrating strong analytical capability and relevant academic training will be considered.
Education
Bachelor's degree in Economics, Management Engineering, Business, Data Analytics or similar field.
Workplace
The successful candidate will be located in Milan, Lombardy, Italy.
Culture
Miu Miu fosters a bold, intellectually curious workplace where creativity, individuality, and a refined sense of irreverence are encouraged. As part of the Prada Group, the brand offers a dynamic and exacting environment in which teams collaborate across fashion, culture, and contemporary design to shape a distinctive global vision.
About Cerulean
Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.
Frequently Asked Questions
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Miu Miu, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Data Analytics Intern», «Retail Analytics Intern», «Business Intelligence Intern», «Analytics Support Specialist», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.