Chanel Data Analyst
- Location
- ParisÎle-de-FranceFrance
- Employment
- Internship
- Seniority
- Intern
- Department
- Finance, Accounting & Revenue Management
- Industry
- Fashion, Apparel & Leather Goods
- Posted
- Jul 16, 2026
About Chanel
Chanel is one of the world’s most revered luxury houses, founded by Gabrielle Chanel and distinguished by an enduring vision of elegance, freedom, and modernity. As an employer, the House brings together métiers ranging from haute couture, fashion and leather goods to fragrance, beauty, watches, and fine jewelry, offering employees the opportunity to contribute to a legacy defined by exceptional craftsmanship and creative audacity. Chanel values excellence, discretion, collaboration, and long-term development, fostering an environment where talent is nurtured and heritage is continually reinterpreted for contemporary clients. Its teams are united by a commitment to quality, innovation, and the timeless spirit of the brand.
Chanel Data Analyst alternance (work-study) position in Paris, starting September 2026. Corporate analytics role for students pursuing advanced degrees.
Role & Responsibilities
- Develop and maintain data analytical models and dashboards to support corporate decision-making
- Collect, clean, and validate data from multiple sources to ensure accuracy and completeness
- Present findings and recommendations to stakeholders using clear visualisations and technical documentation
- Collaborate with business units to identify analytical requirements and translate them into actionable insights
- Support the design and implementation of data governance frameworks and best practices
Qualifications
- Currently enrolled in a Master's programme or equivalent higher education qualification in data science, business analytics, statistics, or related field
- Proficiency in data manipulation and analysis tools (SQL, Python, or R)
- Strong understanding of business metrics and key performance indicators
- Demonstrated ability to communicate complex analytical findings to non-technical audiences
- Attention to detail with strong problem-solving capabilities
Skills
Experience
Currently pursuing higher education with no minimum prior professional experience required; academic projects or internships demonstrating analytical competency are advantageous.
Education
Currently enrolled in or completing a Master's degree programme in data science, business analytics, statistics, computer science, applied mathematics, or equivalent quantitative discipline.
Workplace
This position is based in Paris, Île-de-France, France.
Culture
Chanel fosters a culture of timeless creativity, exacting craftsmanship, and quiet excellence, where employees are encouraged to uphold the house’s heritage while contributing to its continued innovation. The workplace environment is refined, collaborative, and deeply committed to quality, offering professionals the opportunity to grow within a globally respected maison that values discretion, artistry, and long-term 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 Chanel, 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 «Business Intelligence Analyst», «Analytics Specialist», «Data Insights Analyst», «Corporate Data Analyst», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.