Fashion Merchandising & Buying Intern — Data-Driven

Anine Bing; Paris; Sur place; EUR 11 000 - 16 000; Temps partiel

Avantages offerts par ce poste

Generous employee discount

Wardrobe

Résumé du poste

ANINE BING is seeking a Merchandising & Buying Intern to join our Paris team starting January 2027. You will support the Merchandising team with product strategy, sales analysis, and business performance monitoring in a fast-paced fashion environment.

The role offers exposure to collection development, market research, and collaboration with Design, Production, Commercial, and Marketing teams, while building hands-on experience in data-driven decision making and merchandising processes.

Qualifications

• Student in Business, Fashion Management or related field.
• Experience in fashion is a plus.
• Strong Excel skills and data-driven decision making.
• Curious, proactive and eager to learn.

Responsabilités

• Support in analyzing sales, stock, and performance data across channels (Retail, ECOM, Wholesale).
• Help update merchandising tools (assortments, price trackers, range plans) and develop Collection documents (PERM guide, end of season reports).
• Contribute to monitoring product launches and sell-through.
• Participate in market and competitor research (benchmarks).
• Collaborate with cross-functional teams (Design, Production, Commercial, Marketing).
• Assist in Collection assortment review meetings and four yearly Showrooms.

Connaissances

Excel

Analytical skills

English

French

Communication

Teamwork

Formation

Business or Fashion Management student

Description du poste

ANINE BING is seeking a Merchandising & Buying Intern to join our Paris team starting January 2027. You will support the Merchandising team with product strategy, sales analysis, and business performance monitoring in a fast-paced fashion environment.

The role offers exposure to collection development, market research, and collaboration with Design, Production, Commercial, and Marketing teams, while building hands-on experience in data-driven decision making and merchandising processes.