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Intern - Operations Data & Analytics Intern (Summer 2026)

Chicago, United States

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.

Description

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.

Responsibilities

  • Build & Validate – Support the development and testing of operational data modules that power data products used by frontline employees and leaders.

  • Streamline the Process – Help document, refine, and automate SQL, Python, and Databricks workflows to make analysis repeatable and scalable.

  • Bridge Business & Analytics – 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.

Qualifications

What’s needed to succeed (Minimum Qualifications):

  • 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.


United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law.


The starting rate for this role is $20.00.
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.

You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.

United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.

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