Christian Dior Business Intelligence Intern
- Employment
- Internship
- Seniority
- Intern
- Posted
- May 27, 2026
About %s
Christian Dior Parfums, part of the Parfums & Cosmétiques division within the LVMH Moët Hennessy Louis Vuitton luxury group, represents the pinnacle of French luxury perfumery and cosmetics. The maison carries forward the visionary legacy of its founder, Christian Dior, with a commitment to creating beauty products of exceptional quality and artistry. As a beacon of luxury and innovation, the brand blends heritage craftsmanship with cutting-edge technology across its global operations, including its manufacturing and quality assurance facilities.
Christian Dior Parfums internship: Business Intelligence and Power BI specialist intern supporting quality data transformation in Chartres, France.
Role & Responsibilities
- Design and develop interactive Power BI dashboards tailored to the quality department's analytical requirements
- Enhance and optimize existing dashboards to improve data visibility, system performance, and decision-making capabilities
- Collect, process, and model data from multiple sources to ensure data integrity and reliability across reporting systems
- Maintain and enhance the database infrastructure supporting analytical operations
- Provide technical expertise to ensure seamless and efficient reporting workflows
- Train and mentor quality department users on Power BI functionality to foster independence and data literacy
Qualifications
- Currently pursuing specialized studies in Computer Science/Data (bachelor's degree, master's degree, or engineering diploma)
- Proven proficiency with Power BI
- Fluency in relational database systems and SQL
- Solid understanding of data modeling principles
- Demonstrated mastery of Microsoft Office suite (Excel, Word, PowerPoint)
Skills
Experience
No prior professional experience required. Candidates should be students actively pursuing formal education in computer science or data-related disciplines.
Education
Currently enrolled in a specialized degree program in Computer Science, Data Science, or related field (bachelor's, master's, or engineering diploma).
Workplace
The successful candidate will be located in Chartres, Centre-Val de Loire, France, with easy access to Paris.
Culture
Christian Dior Parfums cultivates an environment where creativity, excellence, and inclusivity converge to define the brand's identity. The maison is built on six core values—Create with Passion, Craft Together with Joy, Excel for Ultimate Luxury, Conquer with Audacity, Champion Inclusivity, and Commit to Reenergizing the World—that permeate daily collaboration. Diversity and inclusion are not merely aspirational principles but operational foundations: the brand actively welcomes talent from varied backgrounds, cultures, and experiences, believing that a reflective, dynamic workplace rooted in dream and reality drives sustainable excellence. The Chartres facility exemplifies this philosophy, offering a multidisciplinary, dynamic setting where interns contribute meaningfully alongside passionate quality professionals.
About %s
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 Christian Dior, 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 Intelligence Trainee», «BI Analytics Intern», «Quality Data Analytics Intern», «Data Analyst Intern», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.