Rolex Data Analyst

Rolex, a prestigious name in the luxury watchmaking industry, is renowned for its commitment to excellence and innovation. As part of its dedication to maintaining the highest standards, Rolex offers a stimulating work environment and is a part of a larger conglomerate that values precision, craftsmanship, and cutting-edge technology.

1. Collect data from internal databases and external sources.
2. Ensure data cleaning and preparation for analysis.
3. Utilize statistical tools to interpret data and analyze results.
4. Create dynamic dashboards and reports for data visualization and sharing.
5. Collaborate closely with cross-functional teams to guide strategies.
6. Present analysis results to stakeholders and provide data-driven recommendations.
7. Ensure data quality and resolve data quality and consistency issues.

1. Advanced degree in statistics, mathematics, computer science, or a related field.

1. Proficiency in programming languages for data analysis such as Python or R.
2. Experience with Business Intelligence tools like Tableau or Power BI.
3. Ability to interpret complex data sets and communicate results clearly.
4. Experience in machine learning and implementation of Industry 4.0 themes.
5. Analytical, synthetic, and solution-oriented mindset.
6. Team spirit and ability to collaborate with diverse profiles.
7. Rigorous, organized, and autonomous.
8. Strong communication skills and ability to simplify complex results.

Experience in data analysis and business intelligence, with a focus on machine learning applications.

Advanced degree in statistics, mathematics, computer science, or a related field.

Rolex offers an invigorating work environment, excellent working conditions, flexible working time solutions, and top-tier social benefits.

Rolex fosters a culture of precision, innovation, and collaboration, encouraging employees to excel in a dynamic and supportive environment. The company values diversity and teamwork, providing opportunities for professional growth and development.