Rolex Data Analysis Intern

Employment Internship
Seniority Intern
Department E-Commerce, Digital & Data Analytics
Industry Fine Watches & Horology
Posted ✦ Today

Rolex — Geneva: Data Analysis Intern (Stage) to map data flows, build Tableau dashboards and ensure CRM data quality.

Overview

Rolex is the preeminent Swiss manufacture of luxury watches, renowned for technical excellence, precision engineering and artisanal métiers. The maison operates integrated production facilities in Switzerland and sustains a culture of long-term craftsmanship and discrete excellence; as an employer it invests in technical training and professional development for specialists across production, technical and corporate functions.

Role & Responsibilities

  • Collaborate with cross‑functional teams to gather and formalize data requirements.
  • Map data flows and identify key data points and measurement metrics across systems.
  • Build and maintain a business data dictionary / reference model in partnership with stakeholders.
  • Validate and ensure integrity of data coming from existing tools to guarantee reliable exploitation.
  • Improve data quality by implementing validation checks and consistency controls, especially within CRM systems.
  • Analyze and interpret datasets to extract trends and actionable insights for divisional management.
  • Design and deliver tailored dashboards and visualisations to support decision‑making and presentations.
  • Support the team in service delivery activities and user training related to data tools and processes.

Qualifications

  • Currently enrolled in a Master’s programme in Data Science, Statistics, Computer Science or equivalent.
  • Practical experience with Tableau Desktop (academic projects or prior internship experience preferred).
  • Familiarity with Microsoft Dynamics 365 (D365) and CRM data management practices.
  • Proficiency with Microsoft Office 365 tools (Excel, PowerPoint).
  • Autonomous, methodical and rigorous with strong attention to data quality.
  • Good written and verbal communication skills and a collaborative team orientation.

Skills

Tableau Desktop Dynamics 365 (D365) Microsoft Office 365 CRM systems Data mapping Data quality assurance Dashboard design and data visualisation Descriptive data analysis

Experience

Some hands‑on experience with Tableau Desktop is expected; internships, academic projects or prior roles involving data extraction, dashboarding or CRM data work are advantageous.

Education

Currently enrolled in a Master’s degree in Data Science, Statistics, Computer Science, or a closely related discipline (in progress).

Workplace

This position is based in Geneva, Genève, Switzerland. Cerulean lists 361 open roles in Geneva, including 1 posted recently. In Switzerland as a whole, Cerulean currently features 714 open positions, with 19 posted this week.

Culture

Rolex combines rigorous Swiss manufacturing standards with a discreet, craftsmanship‑led culture. The workplace emphasises technical mastery, structured training and long‑term development in a collaborative, precision‑focused environment.

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

A.

The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Rolex, 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 Science Intern», «Data Analytics Intern», «Business Intelligence Intern», «Data & Reporting 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.