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Richemont Winter Internship- Richemont Data Analyst Intern

Company:
Richemont
Location:
Taipei, Taiwan
Posted:
October 09, 2025
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Description:

About Richemont:

Richemont is a leading global luxury group, home to some of the world's most prestigious Maisons in jewelry, watches, fashion, and accessories. With a rich heritage and a commitment to craftsmanship and innovation, Richemont offers a unique and rewarding environment for talented individuals seeking to build a career in the luxury industry. Richemont Taiwan plays a crucial role in the group's success in the dynamic Taiwanese market.

Richemont 2026 Winter Internship Program Overview:

It's a comprehensive three-month program designed to connect with and develop our future talent pipeline. This program offers students invaluable insights into Richemont's operations with accountable mentor, the luxury goods industry, and a chance to develop key business skills while building a strong professional network.

Internship Period: January 5th, 2026 – March 30th, 2026

- Work Schedule:

During Winter Break: 5 days per week

During Semester: at least 3 days per week

Responsibilities:

- Data Product Localisation: Assist in customising and adapting regional data products for the local market according to the requirements of the local Maison.

- Local Data Analysis: Perform analysis on market trends, and business performance to uncover actionable insights for local Maisons.

- Data Solutions: Support the implementation of data-driven solutions tailored to the needs of local business stakeholders.

- Collaboration: Work closely with regional teams, to ensure consistency and relevance of localised solutions.

Requirements:

- Educational background in Analytics, Data Science, Business, IT, or related fields

- Strong analytical and problem-solving skills.

- Good communication skills with the ability to explain complex ideas in a simple way.

- Fluency in spoken and written English

- A passion for data, AI, and innovation

- Strong team player with a collaborative mindset.

- Proficiency in data tools such as Python, SQL, GCP or BI (e.g., Looker) is a plus.

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