About The Position

Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud. We’re transforming the software industry. We’re Flexera. With more than 50,000 customers across the world, we’re achieving that goal. But we know we can’t do any of that without our team. Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans? Come and see why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com We are seeking a motivated and curious Summer Intern to join our Data Analytics team. This role is ideal for students who are passionate about data, eager to learn, and excited to gain hands-on experience supporting real-world analytics initiatives. As a Data & Analytics Intern, you will work closely with our team to explore datasets, analyze trends, and contribute to projects that help drive datainformed decision making across the organization.

Requirements

  • Basic understanding of data analytics fundamentals, such as data types, metrics, and analytical problemsolving approaches.
  • Handson experience with Excel, including functions, pivot tables, charts, or similar tools.
  • Strong interest and passion for data, analytics, and technology—you enjoy exploring data and asking questions.
  • Currently pursuing a degree in Data Analytics, Information Systems, Computer Science, or Mathmatics
  • Strong communication skills and willingness to learn in a collaborative environment.

Responsibilities

  • Assist in collecting, organizing, and analyzing data from multiple sources.
  • Support the development of reports, dashboards, and data visualizations.
  • Work with team members to identify data quality issues and help perform data validation.
  • Use Excel to manipulate datasets, perform preliminary analysis, and build basic models.
  • Participate in team meetings, contribute ideas, and collaborate on ongoing data initiatives.
  • Learn and apply data analytics best practices through hands-on project work.
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