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Analyst/Sr Analyst, Revenue Management Operations Research

Analyst/Sr Analyst, Revenue Management Operations Research

Date:  Sep 6, 2022

Location: DFW Headquarters Building 8 (DFW-SV08)  
Additional Locations: None
Requisition ID: 62280 

Intro

Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you’ll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board!

Why you'll love this job

  • The role is a part of the Revenue Engineering Team within our Revenue Management group.
  • This role is responsible for developing and driving improvements in Revenue Management and Network Planning systems by building automation forecasting and optimization engines that are responsible for increased performance and revenue for all flights in the American Airlines network.

What you'll do

 

  • Defines and solves complex problems through quantitative analysis and analytical models, using operations research, statistics, machine learning, and forecasting techniques.
  • Builds mathematical models, develops applications, and provides support to the business.
  • Participates in model design, prototype, model development, and model implementation.
  • Formulates hypotheses and design tests to support business. Leverages statistics to evaluate tests that will drive positive revenue decisions.
  • Implement prototype solutions using programming languages such as Python and Java, statistical tools like R, as well as business insights
  • Develop a solid understanding of core airline economics and be well positioned for potential advancement
  • Works within revenue management and various commercial groups to creatively solve business problems by understanding business processes and airline economics in order to identify and implement solutions that will drive revenue performance.
  • Deliver professional presentations and communications around complex topics targeted to varied audiences.
  • Partners with Information Technology to implement prototype solutions and improve systems.

 

All you'll need for success

Minimum Qualifications- Education & Prior Job Experience

  • Level 2- Master’s/PhD degree or Bachelor’s degree with 2+ years of equivalent practical experience in a quantitative discipline (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering, etc.)
  • Level 3- Master’s/PhD degree or Bachelor’s degree with 3+ years of equivalent practical experience in a quantitative discipline (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering, etc.)
  • Level 4- Master’s/PhD degree or Bachelor’s degree with 4+ years of equivalent practical experience in a quantitative discipline (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering, etc.)
  • Experience working with a minimum of one programming language like Python, R, Java, or other relevant programming languages
  • Knowledge in at least one of these skilled areas: machine learning, optimization, simulation, statistics

 

Preferred Qualifications- Education & Prior Job Experience

  • Master’s/PhD in Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering or related field
  • Experience solving large-scale problems and familiarity with the airline industry are a plus

Skills, Licenses & Certifications

  • Successful candidates will have a demonstrated aptitude for logical analysis, problem identification, and problem solving as well as excellent interpersonal and communication skills.
  • The ability to use computer-based tools and programming languages to implement solutions is required.
  • Strong experience with Python, R, writing complex SQL queries, Big Data or experience with other data mining packages is a plus.
  • Willingness to show initiative and take ownership of job responsibilities.

 

What you'll get

Feel free to take advantage of all that American Airlines has to offer: 

  • Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network.
  • Health Benefits: On day one, you’ll have access to your health, dental, prescription and vision benefits to help you stay well. And that’s just the start, we also offer virtual doctor visits, flexible spending accounts and more. 
  • Wellness Programs: We want you to be the best version of yourself – that’s why our wellness programs provide you with all the right tools, resources and support you need.
  • 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year.
  • Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more

Feel Free to be yourself at American

From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Employee Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world.

Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life’s journey? Feel free to be yourself at American.

Additional Locations: None
Requisition ID: 62280 


Nearest Major Market: Dallas
Nearest Secondary Market: Fort Worth

Job Segment: Computer Science, Operations Manager, Revenue Management, Research Engineer, Quantitative Analyst, Technology, Operations, Finance, Engineering, Data

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