Rolex Data Analyst

Geneva • Switzerland

Wednesday, May 21, 2025

Rolex, a prestigious name in the luxury watchmaking industry, is renowned for its commitment to excellence and innovation. As part of its esteemed conglomerate, the company offers unparalleled opportunities for professional growth and development. Rolex is dedicated to fostering a dynamic and inclusive work environment, where creativity and technical acumen are highly valued.

1. Analyze and interpret data to extract strategic and operational insights, directly contributing to the activities of Rolex and Tudor.
2. Develop and maintain reporting products for various business domains using leading tools such as Tableau and Power BI.
3. Optimize data products to ensure an exceptional user experience.
4. Actively participate in improving data quality and ensure the reliability of analyses.
5. Contribute to the automation and optimization of analytical processes with a deep understanding of data transformation tools.
6. Collaborate closely with data engineering teams to ensure the integrity and relevance of data used in analyses.
7. Support the Data Citizens community in developing high-quality, reusable, and innovative data products through communication, user support, and training.

1. Advanced degree in Computer Science or Engineering, preferably from EPF or HES, with a specialization in data analysis.
2. Significant experience in Data Engineer and/or Data Analyst roles, gained in both OnPrem and Cloud environments.
3. Native proficiency in French with a strong command of English.

1. Proficiency in technologies such as Snowflake, Dataiku, BW4Hana, Azure Data Factory, Azure Synapse, or Talend for data processing and exploitation.
2. Expertise in visualization tools like Tableau and Power BI.
3. Strong culture of automation with a commitment to data quality and observability.
4. Good understanding of information security concepts.
5. Excellent interpersonal skills and proactive problem-solving abilities.
6. High degree of autonomy in solution-seeking and evaluating deliverable quality.
7. Ability to work effectively in a team environment.

Significant experience in data engineering and analysis roles within OnPrem and Cloud environments.

Advanced degree in Computer Science or Engineering, preferably from EPF or HES.

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

Rolex is committed to nurturing a stimulating and inclusive workplace culture that values innovation, collaboration, and excellence. The company encourages a proactive approach to problem-solving and supports continuous professional development.