BRP

Our distinctive brands are icons in their industry: Ski-Doo and Lynx snowmobiles, Sea-Doo watercraft, Can-Am vehicles and Rotax marine propulsion systems as well as Rotax engines for karts and recreational aircraft. To fully enhance our riders’ experience, our product lines are supported with a dedicated parts, accessories and clothing business. Over the past 20 years, we have traveled far and wide, expanding our partnerships, entering new playgrounds and new territories. Our close to 16,500 employees worldwide are united by our ambition to keep moving forward, giving our customers around the world the power to create their best memories. As the passion for BRP grows, so does our presence, with innovation centers, manufacturing facilities and offices now on all five continents. We’ve partnered with the best dealers and distributors out there to bring our products to adventurers in 130 countries. As we look to the future, we continue to power ahead and hold true to the values of passion, drive, ingenuity, and trust we live by, maintaining our sense of adventure as our guiding star. We make adventure… by design.
21/02/2026
Full time
BRP Lausanne, VD, Switzerland
We are looking for a motivated and creative Business Intelligence Intern to support our analytics team in designing clear, engaging dashboards and visual data stories. It will be 6 months internship ideally starting in April 2026. Working with the international business intelligence team, you will transform complex datasets into clear, intuitive, and interactive dashboards. Your work will directly influence strategic decision-making across the organization by enabling teams to interpret data quickly and accurately. This internship is ideal for students who want practical experience working across the full BI stack, including: Data ingestion & integration Data cleaning and preparation Light data modeling Dashboard and visualization development YOU’LL HAVE THE OPPORTUNITY TO: Data Ingestion & Preparation Assist in importing and integrating data from external sources. Perform data cleaning and transformation tasks. Help maintain and improve existing data pipelines...