LVMHParisNon précisé
LVMH Moët Hennessy Louis Vuitton is the world leader in luxury, home to over 75 prestigious Maisons known for their high quality, heritage, and creative excellence across Fashion & Leather Goods, Wines & Spirits, Perfumes & Cosmetics, Watches & Jewelry, and Selective Retailing.
Our Insights teams drive the insights and analytical transformation across the group. We are currently building a transformative, state-of-the-art Conversational Analytics tool powered by new agentic technology and layered over the existing Insights platform. This Insights tool will serve all Maisons globally, empowering cross-functional teams to interact with complex data intuitively and make informed, strategic decisions.
Job Responsibilities
We are looking for a creative, forward-thinking UX/UI Intern to join the Insights team. In this role, you will play a key part in designing the interface for our next-generation conversational analytics tool. You will collaborate closely with product managers, data analysts, and data engineers to translate complex analytical workflows into seamless, elegant digital experiences for luxury professionals across our Maisons.
Key Responsibilities
Profile
Education: Currently pursuing a Bachelor’s or Master’s degree in Human-Computer Interaction (HCI), UX/UI Design, Product Design, Graphic Design, or a related field. Core Skills: Strong foundation in UX/UI design principles for both web and mobile applications. Demonstrated ability to create user flows, wireframes, high-fidelity prototypes, and design specs. Tooling: Proficiency in Figma (including auto-layout, components, and prototyping features). Analytics & Data Literacy: Familiarity with Business Intelligence and data visualization tools (e.g., Power BI, Qlik, Tableau, Looker) to understand how users interact with dashboards and data. Soft Skills: Excellent communication and storytelling skills; ability to articulate design decisions clearly in a collaborative corporate environment. Fluent in English (French is a plus). Nice-to-Haves (Plus) Hands-on knowledge or academic exposure to Agentic development or AI-driven conversational interfaces. Prior experience designing enterprise software, data-heavy dashboards, or B2B platforms. Basic understanding of front-end technologies (HTML/CSS/React) to better collaborate with engineering teams.