Intern Ops Data Product & Anlytcs (Summer 2027)

United Airlines•Chicago, IL

About The Position

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. At United, we offer internships, co-ops, and full-time opportunities for early career professionals. In any role, you’re a key member of our team, contributing to real projects that help move the business forward while gaining hands-on experience, growing your professional skill set, and connecting with industry leaders. You’ll also have a chance to build community through our employee-run Business Resource Groups, participate in industry conferences, and enjoy unlimited standby travel anywhere we fly. As an Operations Data & Analytics Intern, you’ll be part of Operations Products team that turns raw airline data into real-world impact. From flight performance to customer experience, you’ll dive into massive datasets, sharpen data products, and uncover insights that drive decision-making across Airport Ops, Tech Ops, Customer Ops, and more. This is a hands-on role where you’ll gain exposure to large-scale airline data, learning how analytics keeps one of the world’s largest airlines moving. This internship is designed solely to provide you with skill development and valuable work experience. This role will likely not convert to a full-time position at United at the conclusion of the internship.

Requirements

Current student pursuing a degree in Computer Science, Engineering, Business Analytics, or a related field.
Strong analytical toolkit with SQL and/or Python experience (Databricks or Redshift exposure is a plus).
Ability to explain findings clearly to both technical experts and business leaders.
Natural curiosity, initiative, and a drive to dig into complex data challenges that have a real operational impact.

Nice To Haves

Demonstrated understanding of the capabilities and limitations of generative AI tools and the ability to leverage AI effectively to support research, analysis, content creation, and problem-solving. Applies critical thinking to validate AI-generated outputs while adhering to organizational policies related to responsible AI use, data privacy, and security.

Responsibilities

Support the development and testing of operational data modules that power data products used by frontline employees and leaders.
Help document, refine, and automate SQL, Python, and Databricks workflows to make analysis repeatable and scalable.
Collaborate with cross-functional teams to turn operational questions into actionable insights, exploring flight, customer, and operational data to find trends, outliers, and opportunities for performance improvement.