Rolex Data Project Analyst

Rolex is a Swiss luxury watchmaker headquartered in Geneva, recognised for technical excellence, in‑house manufacturing and meticulous quality standards. As an employer it is known for long‑term career pathways, investment in staff training and a production‑centric culture that combines artisanal craft with advanced engineering.

1. Support and animate the division’s data competency network to raise analytical maturity and shared practices.
2. Gather, analyse, prioritise and translate internal stakeholders’ data needs into actionable requirements in collaboration with IT.
3. Design, develop and deliver cross‑functional dashboards and visualisations using Tableau to support production and logistics decision‑making.
4. Assess and support the evaluation of data solutions and ensure data quality, consistency and reliability across tools and processes.
5. Train and coach end users on best practices for data handling, dashboard usage and governance to increase adoption and competence.

1. University degree in engineering (generalist/EPF), computer science, management or equivalent qualification.
2. Minimum 5 years’ experience in a comparable data/analytics role.
3. Proven experience in business analysis, with the ability to translate operational needs into analytical deliverables.
4. Strong knowledge of production and logistics data models and their operational context.
5. Excellent interpersonal and communication skills with demonstrated ability to mobilise and federate stakeholders.
6. Autonomous, flexible, rigorous and highly organised, with strong analytic, systemic-thinking and synthesis capabilities.

1. Tableau
2. Production and logistics data models
3. Business analysis
4. Dashboard design and data visualisation
5. Data quality assurance
6. Stakeholder management
7. User training and change adoption

At least 5 years in a data analyst / data projects role, ideally within production, manufacturing or logistics environments, with demonstrable business‑analysis experience and delivery of operational dashboards.

University degree in engineering, computer science, management or equivalent.

Flexible working time arrangements; hybrid work (#LI-Hybrid); excellent working conditions; top‑tier social benefits.

Rolex combines a culture of technical rigor and craftsmanship with long‑term professional development and discreet, high‑performance standards. The workplace emphasises collaboration between production, engineering and data teams to deliver reliable, precision‑driven results.