Richemont Client Data Analyst
- Location
- ParisÎle-de-FranceFrance
- Employment
- Full-Time
- Seniority
- Mid-Level
- Department
- Clienteling, CRM & VIP Relations
- Posted
- Jun 9, 2026
About Richemont
Richemont is one of the world’s foremost luxury groups, stewarding a distinguished portfolio of maisons across jewellery, watchmaking, fashion and accessories, including Cartier, Van Cleef & Arpels, Jaeger-LeCoultre and Montblanc. As an employer, it combines the heritage of artisanal excellence with a forward-looking culture shaped by innovation, client-centricity and responsible business. Its global teams operate in an environment that values craftsmanship, entrepreneurship and collaboration, offering opportunities to grow within iconic maisons and group functions alike. Richemont attracts professionals who aspire to contribute to enduring luxury, preserving rare savoir-faire while helping define the future of high craftsmanship.
Client Data Analyst (H/F) at Richemont in Paris. Drive customer insights across luxury retail operations.
Role & Responsibilities
- Develop and maintain client data analytics dashboards and reporting infrastructure to support luxury retail operations
- Analyse customer purchasing behaviour, segmentation, and lifetime value metrics to inform strategic retail decisions
- Collaborate with clienteling, merchandising, and marketing teams to identify data-driven opportunities for customer engagement and revenue growth
- Conduct exploratory data analysis on client datasets to uncover trends, patterns, and predictive insights
- Design and implement data quality frameworks to ensure accuracy and integrity of customer data across platforms
- Present findings and recommendations to senior stakeholders using compelling visualisations and business narratives
Qualifications
- Proven experience in data analysis, business intelligence, or customer analytics within retail or luxury sectors
- Advanced proficiency in SQL, Python, or R for data manipulation and statistical analysis
- Expertise with business intelligence tools such as Tableau, Power BI, or similar platforms
- Strong understanding of retail KPIs, customer segmentation methodologies, and CRM systems
- Demonstrated ability to translate complex data into clear, actionable business insights
- Excellent communication skills and ability to present data findings to non-technical stakeholders
Skills
Experience
3–5 years of professional experience in data analysis, customer analytics, or business intelligence, preferably within retail, luxury goods, or consumer-facing organisations.
Education
Bachelor's degree in data science, statistics, computer science, mathematics, economics, or a related quantitative discipline.
Workplace
This position is based in Paris, Île-de-France, France.
Culture
Richemont fosters a refined, international workplace where its Maisons preserve exceptional craftsmanship while benefiting from the strength and perspective of a global luxury group. As an employer, it values long-term stewardship, collaboration, innovation, and the development of talent within an environment shaped by heritage, creativity, and high standards.
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 Richemont, 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 Specialist», «Customer Intelligence Analyst», «Clienteling Data Specialist», «Analytics Consultant», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.