American Airlines Group-posted about 1 year ago
Full-time • Entry Level
Onsite • Fort Worth, TX
Air Transportation

The Consultant, IT Operations Research & Advanced Analytics at American Airlines is responsible for supporting decision-making processes across various operational areas of the airline. This role involves collaborating with cross-functional teams to identify business opportunities, analyzing data, and building advanced analytical models to optimize operations and enhance decision-making. The consultant will also promote data-driven strategies within the organization through workshops and tutorials.

  • Support decision-making across the airline in areas such as pricing, revenue management, fleet optimization, and customer analytics.
  • Work with cross-functional teams to identify business opportunities and frame analytics problems.
  • Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources.
  • Build and validate advanced analytical and statistical models using various techniques including forecasting and optimization.
  • Deploy models as proofs-of-concept or fully productionized implementations.
  • Monitor and maintain deployed models to ensure continued effectiveness.
  • Quantify business impacts and communicate actionable recommendations to business partners.
  • Promote data-driven decision making by delivering workshops and tutorials.
  • Masters degree in Operations Research, Engineering, Mathematics, or related field.
  • 1 year of experience in a relevant role such as Consultant, Research Assistant, Teaching Assistant, or Intern.
  • Demonstrated experience in utilizing analytical skills including Linear, Non-linear, and Integer Programming.
  • Experience in building and designing solution algorithms for large scale optimization models.
  • Knowledge of non-deterministic optimization techniques such as Stochastic Programming and Markov Decision Process.
  • Ability to explain complex technical concepts to diverse audiences and prepare presentations.
  • Proficiency in programming languages such as Python, R, C++, or Java.
  • Experience in data extraction, cleaning, and analysis using SQL, R, or Python.
  • Skills in data visualization using tools like PowerBI, Tableau, R, or Python.
  • Experience in implementing optimization models with GUROBI, CPLEX, or XPRESS.
  • Familiarity with forecasting and statistical methods including regression and time-series analysis.
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