Richemont Client Data & Insights Analyst
- Employment
- Full-Time
- Seniority
- Entry-Level
- Compensation
- $30–34/hour
- Department
- Clienteling, CRM & VIP Relations
- Industry
- High Jewelry
- Posted
- May 11, 2026
About Richemont
Richemont is a Swiss-based luxury goods holding company whose maisons span high jewelry, watches, writing instruments and fashion. The group operates a portfolio of prestigious maisons and boutiques globally and combines artisanal heritage with data-driven commercial strategies to serve discerning clientele across wholesale, retail and direct channels.
Client Data & Insights Analyst at Cartier in New York. Support client data projects and deliver analytics for luxury retail operations.
Role & Responsibilities
- Maintain and improve client database quality through cleansing updates, profile merges, client reassignments, and ongoing data governance adherence
- Provide expertise on data platforms including Salesforce, SAP, Power BI, and Looker, supporting all database and client data-related projects
- Assist commercial teams (boutiques and specialist retail) with client reporting to measure performance against clienteling, MyClients data capture, and Cartier Care KPIs
- Identify, analyze, interpret and present performance metrics for all client-related KPIs, intelligence and insights
- Support the development of reports and client activation plans that enable network optimization of client development initiatives and prioritization of Maison programs
- Conduct analytics on client database and omni-channel client behavior patterns to identify trends and recommendations for loyalty, acquisition and retention
- Collaborate with cross-functional corporate teams to address client data needs and deliver actionable insights and solutions
- Extract and manage client lists to support client engagement strategies, product launches and boutique activations
- Deliver training to boutiques on data input standards and insights best practices
Qualifications
- Bachelor's degree in Business Administration, Data Science, Statistics, or related field
- 2+ years of experience managing data and analytics projects
- Proficiency with Microsoft Office Suite (Excel, PowerPoint, Word)
- Experience with Salesforce and Looker preferred
- Excellent written and verbal communication skills
- Strong analytical and organizational capabilities
- Excellent time management and problem-solving skills
- Strong critical thinking ability
Skills
Experience
2+ years of experience in managing data and analytics projects; luxury sector experience is advantageous.
Education
Bachelor's degree in Business Administration, Data Science, Statistics, or a related field.
Workplace
This position is based in New York, New York, USA.
Compensation
The base compensation for this position ranges from USD 30 to USD 34 per hour.
Culture
Richemont combines maison-level craftsmanship and heritage with a global, entrepreneurial organisation that values discretion, client focus and long-term brand stewardship. Teams operate collaboratively across functions and regions, with an increasing emphasis on data-driven decision-making to enhance the client experience.
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 Analyst – Client Relations», «Client Analytics Specialist», «Data Management Specialist», «Client Database Analyst», «Analytics Coordinator», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.