Rolex Data Analyst

Rolex, a prestigious name in the luxury watchmaking industry, is renowned for its commitment to quality and precision. As part of the larger luxury conglomerate, Rolex offers a dynamic and innovative work environment where employees are encouraged to excel and contribute to the brand's legacy of excellence.

1. Collect, consolidate, and analyze performance data from markets to identify product improvement opportunities.
2. Define, implement, and automate relevant quality indicators using tools such as Tableau, Python, Snowflake, and Dataiku.
3. Actively participate in improving data quality and ensure the reliability of analyses.
4. Create and secure data flows necessary for the robustness and relevance of quality reporting.
5. Support and train internal teams in the use and understanding of available tools.
6. Ensure effective communication and simplification of results to various stakeholders.

1. Advanced degree in Computer Science, Engineering, or Econometrics with a specialization in data analysis.

1. Proficiency in Tableau, Python, Snowflake, and Dataiku.
2. Strong analytical, synthesis, and communication skills.
3. Excellent interpersonal skills with the ability to work collaboratively across teams.
4. Systematic approach, rigor, and solution-oriented mindset.
5. Proficiency in office tools (Excel, PowerPoint).
6. Fluency in French and a good command of English.

A minimum of 5 years of experience in data processing, analysis, and enhancement within a demanding environment.

Advanced degree in Computer Science, Engineering, or Econometrics.

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

Rolex fosters a culture of innovation and excellence, encouraging employees to push boundaries and contribute to the brand's storied heritage. The workplace is collaborative, with a focus on continuous improvement and quality.