United Airlines
United Airlines
Applications Closed
Posted about 2 months ago
Internship
Chicago, Illinois
In Person
Smart Summary
The role involves turning data into insights to drive business decisions within the Technical Operations Analytics team. Responsibilities include partnering with business experts and tackling complex problems quantitatively.
This internship with United Airlines' Technical Operations Analytics team seeks a passionate analyst to transform data into insights for business decisions. The role requires skills in data visualization, data querying (SQL, Python, R, SAS), and excellent communication abilities. Candidates should have intellectual curiosity and be authorized to work in the U.S. without sponsorship.
Must Have Skills for ATS
Data Visualization
Intellectual Curiosity
SQL
Python
R
SAS
PowerBI
Communication
Presentation Skills
Problem Solving
Quantitative Analysis
Attention to Detail
Autonomy
Data Transformation
Data Modeling
Storytelling with Data
Job Description
There’s never been a more exciting time to join United Airlines. We’re on a path towards becoming the best airline in the history of aviation. Our shared purpose – Connecting People, Uniting the World – is about more than getting people from one place to another. It also means that as a global company that operates in hundreds of locations around the world with millions of customers and tens of thousands of employees, we have a unique responsibility to uplift and provide opportunities in the places where we work, live and fly, and we can only do that with a truly diverse and inclusive workforce. And we’re growing – in the years ahead, we’ll hire tens of thousands of people across every area of the airline. Our internships are paid, and course credit hours may be considered depending on university’s guidelines. Internships include a competitive benefits package sought at keeping you happy, healthy and well-traveled. From mentorship opportunities to benefits like medical insurance and privileges like space available travel, United is truly a one-of-a-kind internship experience. Are you ready to travel the world?
At United, we have some of the best aircraft in the world. Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they’re well taken care of and ready to get our customers to their desired destinations. If you’re ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape.
The Technical Operations Analytics team is looking for a passionate Analyst to turn data into information and information into insights to drive business decisions. The group strives to get the right work done on the right aircraft at the right location at the right time. To do this, we partner with business experts to pursue analytical opportunities within maintenance planning, supply chain, aircraft engineering, maintenance execution, and maintenance programs, among other areas. We are seeking creative, driven, and detail-oriented individuals who enjoy tackling complex problems quantitatively. Individuals who have a desire to improve the performance of United's fleet and maintenance operation are encouraged to apply. High-level responsibilities of the role include:
Understanding of data visualization standard processes
Intellectual curiosity for working with data
Query, transform and model data in a quantitative analysis software package or language (SQL, Python, R, SAS, etc.)
Visualize data relevantly to tell a story
Must be legally authorized to work in the United States for any employer without sponsorship
Successful completion of interview required to meet job qualification
Reliable, punctual attendance is a crucial function of the position
Experience with PowerBI or other data visualization tools
Work autonomously to learn from subject matter authorities, identify gaps in data, and generate quantitative solutions to problems
Excellent communication and presentation skills · Comfort with ambiguity
With Runway
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