Closed Applications No Longer Accepted
Nota Bene: This job opportunity at Hermès was available until Monday, May 19, 2025, but applications are no longer being accepted.
Hermès Analytics Engineer
This prestigious luxury fashion brand, renowned for its exquisite craftsmanship and innovative designs, is part of a global conglomerate that sets the benchmark for excellence in the industry. As an employer, the brand offers a dynamic and inclusive environment, fostering creativity and professional growth while maintaining a commitment to sustainability and ethical practices.
- Develop and maintain data pipelines and ETL processes to ensure seamless data flow and integration.
- Analyze complex datasets to extract actionable insights that drive business decisions.
- Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions.
- Design and implement data models and reporting systems to support strategic initiatives.
- Ensure data accuracy and integrity through rigorous testing and validation processes.
- Bachelor's degree in Computer Science, Data Science, or a related field.
- Proven experience in data analysis and engineering within the fashion or retail industry.
- Strong understanding of data warehousing concepts and ETL processes.
- Proficiency in SQL and data visualization tools such as Tableau or Power BI.
- Experience with programming languages such as Python or R.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate complex data insights to non-technical stakeholders.
A minimum of 3 years of experience in a data analysis or engineering role, preferably within the luxury fashion industry.
Bachelor's degree in Computer Science, Data Science, or a related field.
Comprehensive benefits package including health insurance, retirement plans, and employee discounts on luxury products.
The company prides itself on a culture of innovation and excellence, where employees are encouraged to push boundaries and think creatively. The workplace is collaborative, with a strong emphasis on diversity and inclusion, ensuring that all voices are heard and valued.


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