Data Project Management Intern

Overview

Richemont is a Geneva‑based luxury goods group with a portfolio of prestigious maisons active in jewellery, watches and high‑end fashion and accessories. As an employer, Richemont combines heritage craftsmanship with an international, design‑led business model and invests in digital transformation and data‑driven decision making across its maisons.

Role & Responsibilities

• Support project managers in planning, tracking and delivering cross‑functional data initiatives across business units.
• Collect, clean and validate datasets from multiple sources to prepare for analysis and reporting.
• Develop and maintain dashboards and ad‑hoc reports to monitor project KPIs and business metrics.
• Coordinate with stakeholders (product, IT, supply chain, commercial teams) to gather requirements and ensure timely delivery.
• Prepare executive‑level slide decks and progress updates for sponsors and steering committees.
• Maintain project documentation, roadmaps, risk logs and change requests.
• Perform basic data analysis, root‑cause investigations and quality assurance on datasets and deliverables.

Qualifications

• Enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Business Analytics, Engineering, Statistics or a related discipline.
• Strong analytical mindset with demonstrated ability to work on quantitative academic projects or prior internships.
• Excellent proficiency in Excel and confident presentation skills (PowerPoint).
• Familiarity with SQL and basic programming in Python or R for data manipulation.
• Organised, detail oriented and able to manage competing priorities in a matrix environment.
• Professional written and verbal communication skills; ability to interact with senior stakeholders.

Skills

Experience

Prior internship experience or academic project work in data analysis, business intelligence, or project coordination is preferred but not mandatory. Demonstrated exposure to cross‑functional projects or analytics coursework is valued.

Education

Currently enrolled in a relevant undergraduate or graduate program (Data Science, Computer Science, Business Analytics, Engineering, Statistics or related).

Culture

Richemont fosters a collaborative, craft‑centred culture that balances respect for heritage with active investment in digital and data capabilities. The workplace is international and matrixed, offering exposure to multidisciplinary teams and opportunities for professional learning within luxury retail and manufacturing contexts.