Who are we?

Luxurynsight is a SaaS data-driven business intelligence software company specializing in the luxury, fashion and beauty markets.

Luxurynsight’s mission is to make data useful and actionable for luxury decision-makers, who use our platforms to monitor their markets and make strategic decisions based on factual information.

Present in France and China, Luxurynsight is the strategic data partner of key groups and brands in the Luxury, Fashion and Beauty markets such as LVMH, Kering, Chanel, Bulgari, Armani, Lacoste, Zara, Puma, L’Oréal, Coty, Shiseido in France and abroad.

In strong growth and made up of a multicultural team of around fifty people, Luxurynsight recruits curious, structured and motivated candidates wishing to invest in a pioneering and singular business project, in a buoyant, dynamic and inspiring sector. To support its development, Luxurynsight is looking for qualified profiles in growth (marketing, sales, customer success), tech (developers, product), data (data engineer, business & data analyst), insights (insight analysts, project managers), research (research and competitive intelligence officer).

Job Description

This hybrid internship, based in Paris with partial remote work options, offers a unique opportunity to immerse yourself in the luxury data analytics sector. As a Luxury Data Analyst Intern, you will collaborate with a global team of data analysts and luxury business experts from over 14 countries. You’ll work on impactful projects for leading luxury brands and gain hands-on experience in several key areas:

Monthly Client Deliveries

• Conduct data collection, cleaning, and preparation for client platform delivery.

Delivery Process Improvement

• Identify and implement process enhancements to optimize data delivery quality and reduce time spent on data collection, cleaning, and client delivery.

Data Science Projects

• Contribute to data science initiatives based on your expertise, from model ideation to deployment, enhancing the company’s analytics capabilities.

PROFILE:

• Educational Background: Enrolled in a Bachelor’s or Master’s program in Data Science, Business, Economics, Marketing, or a related discipline.

• Technical Skills: Demonstrated interest in Python programming and a strong willingness to learn; proficiency in MS Office, particularly in Excel and PowerPoint.

• Interpersonal Skills: Capable of managing multiple tasks and engaging effectively with diverse cultural backgrounds.

• Professional Qualities: Team-oriented, highly organized, with a commitment to deadlines, attention to detail, and strong time-management skills.

• Language Skills: Excellent English communication skills; French is a plus but not mandatory.