Richemont Analytics Engineer

Plan-les-Ouates • Switzerland

Wednesday, January 22, 2025

Richemont, a distinguished leader in the luxury goods sector, is renowned for its prestigious Maisons, each with a rich heritage of craftsmanship and innovation. As part of a global conglomerate, Richemont offers a dynamic and inclusive work environment that values diversity and fosters creativity. The company is committed to transforming into a data-driven organization, providing employees with the opportunity to contribute to this exciting evolution.

1. Design, orchestrate, and optimize data pipelines to generate high-quality business performance and network data products.
2. Integrate data from various sources, ensuring seamless data flow and accessibility.
3. Develop and deploy efficient and scalable data models tailored to different business requirements and constraints.
4. Implement robust data validation and cleansing processes to consistently provide data accuracy and consistency.
5. Develop state-of-the-art data products from design to production and maintenance, ensuring alignment with business objectives.
6. Evaluate and improve the performance of machine learning models and analytics solutions.
7. Support coordination efforts for the roll-out of new analytics and data science initiatives across regions and Maisons.
8. Collaborate with cross-functional teams to integrate analytics and data science solutions into business processes.
9. Foster knowledge sharing among regions, Maisons, and other group functions by documenting data workflows, models, and best practices.

1. Master's Degree in Data Science, Statistics, Computer Science, or an equivalent quantitative field.
2. At least 4 years of experience in engineering and data science, preferably in the luxury retail industry.
3. Solid experience in implementing and scaling complex projects leveraging cloud-based environments, such as Google Cloud Platform.
4. Extensive knowledge of SQL, Python, and key data processing libraries.
5. Familiarity with data transformation and analytics tools such as dbt and Looker.
6. Solid theoretical background in statistics and machine learning.

1. Proficiency in SQL, Python, and key data processing libraries.
2. Experience with cloud-based environments, particularly Google Cloud Platform.
3. Familiarity with data transformation and analytics tools such as dbt and Looker.
4. Excellent communication, project management, and problem-solving skills.
5. Ability to translate business needs and requirements into technical terms.
6. Strong collaboration skills in international organizations.
7. Creative mindset with out-of-the-box thinking.

A minimum of 4 years in engineering and data science, with a preference for experience in the luxury retail industry.

Master's Degree in Data Science, Statistics, Computer Science, or an equivalent quantitative field.

Richemont offers a comprehensive benefits package, including opportunities for professional development and a supportive work environment that values diversity and creativity.

Richemont's culture is characterized by its commitment to diversity, creativity, and innovation. The company values freedom, collegiality, loyalty, and solidarity, fostering an environment where empathy, curiosity, courage, humility, and integrity are paramount. Richemont is dedicated to making a positive impact on the world and encourages its employees to reveal their exceptional potential.