Rolex Logistics Data Analyst

Rolex, a paragon of luxury and precision in the horological world, offers an unparalleled work environment that embodies excellence and innovation. As a part of the prestigious Rolex family, employees are immersed in a culture that values craftsmanship, precision, and a commitment to quality. The brand is renowned not only for its iconic timepieces but also for fostering a dynamic and supportive workplace.

1. Participate in logistics projects requiring data analysis expertise.
2. Translate business challenges into analytical frameworks.
3. Map logistics flows and identify relevant data points and metrics.
4. Extract data from source systems such as SAP, MES, LES, and equipment.
5. Process collected data to ensure usability and maintain quality.
6. Conduct data analyses and utilize simulation models to derive logistics insights and optimizations.
7. Develop dashboards and performance indicators.
8. Communicate results effectively using data visualization tools.
9. Stay informed on the latest data analysis and simulation tools.

1. Engineering degree in logistics or equivalent from HES, EPF, or similar institution.

1. Proficiency in data analysis tools such as Python, R, Tableau PREP, KNIME, or equivalents.
2. Experience with data visualization tools like TABLEAU.
3. Knowledge of database management using SQL.
4. Strong organizational skills and ability to work autonomously.
5. Excellent interpersonal skills, active listening, synthesis, and effective communication.
6. Dynamic, flexible, and team-oriented mindset.

Experience in logistics data analysis and simulation is advantageous.

Engineering degree in logistics or equivalent.

The position offers a stimulating environment, excellent working conditions, flexible work time solutions, and top-tier social benefits.

Rolex is synonymous with a culture of precision and excellence, fostering an environment where innovation and teamwork are paramount. Employees are encouraged to push the boundaries of their expertise while enjoying a supportive and collaborative workplace.