Luxury Client Data & Insights Intern

Richemont; Lombardia; Sur place; EUR 9 100 - 11 000; Plein temps

Avantages offerts par ce poste

6 months internship

900 euros per month reimbursement

8 euros Satispay meal vouchers per day

Résumé du poste

Richemont is seeking an enthusiastic Client Data & Profiling Intern to support the Client Engagement Project Manager in analyzing client profiles, building Looker dashboards, and ensuring data quality across Italy and Greece. You will work closely with boutiques, marketing, and regional teams to drive omnichannel insights and performance reporting.

The role emphasizes data governance, KPI definition, and cross-functional collaboration in a luxury retail context.

Qualifications

• Master's degree or equivalent in Business Admin or Engineering.
• Experience with data management systems and data quality practices.
• Fluent in English and Italian; other languages a plus.

Responsabilités

• Build and monitor client profile analysis for strategic documents and projects with management and other teams.
• Participate in setting client KPIs in an omnichannel landscape and monitor performance across channels.
• Review yearly documents and build a relevant synthesis to share locally.
• Proactively suggest and build adhoc analysis to improve client knowledge.
• Support CRM team in monitoring clienteling performance.
• Collaborate with High End team to identify high potential clients on a regular basis.

Connaissances

Analytical mindset

Strong communication

Fluent in English and Italian

Formation

Master's degree in Business Administration or Engineering

Outils

Looker

SQL

Excel

PowerPoint

Description du poste

Richemont is seeking an enthusiastic Client Data & Profiling Intern to support the Client Engagement Project Manager in analyzing client profiles, building Looker dashboards, and ensuring data quality across Italy and Greece. You will work closely with boutiques, marketing, and regional teams to drive omnichannel insights and performance reporting.

The role emphasizes data governance, KPI definition, and cross-functional collaboration in a luxury retail context.