Data Analytics & Programs Intern - Summer 2027
Veeam SoftwareAbout the role
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. About Our Summer Internship Program Our Summer Internship Program is designed for students entering their final year of university who are eager to gain meaningful, real-world experience in a fast paced, collaborative, and professional environment. As a Summer Intern, you'll participate in a comprehensive onboarding experience led by our University Relations team to set you up for success from day one. Throughout the program, you'll also have the opportunity to participate in weekly professional development sessions, networking events, social activities, and other engaging experienced designed to support your personal and professional growth. The program takes place from June – August 2027 (10-week program). Your Role The Center of Expertise (CoE) is a global team built to solve our customers' most complex technical challenges and turn what we learn into repeatable value for the rest of the business. As our Data Analytics & Programs Intern, you'll turn raw operational and customer feedback data into insight the team can act on, and help build the content, deliverables, and program materials that make that insight usable across the business. This role is for someone who likes finding the story in the numbers and then doing something with it. Analyze operational and customer feedback data to surface trends, recurring themes, a
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