Sr Analyst, Operations Modeling and Analytics

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!

• This position is part of the Operations Performance and Analytics Department
• This position serves as a key resource for analytical and decision support initiatives.
• This position will also be instrumental in maintaining a strong and effective partnership with Ops Planning and Network Planning teams, The Hub Control Center, IOC, and Corporate Real Estate (CRE)
• You will play a critical role in developing simulation-based solutions to optimize operational performance and support strategic decision‑making across the airline.

• Lead the development and enhancement of simulation models to evaluate operational scenarios, assess schedule robustness, and improve efficiency across airport, airspace, and ATC environments.
• Build and maintain discrete‑event and agent‑based simulation frameworks using tools such as AirTOP, SIMMOD, Arena, SIMIO, or similar platforms.
• Design and implement simulation experiments to test operational strategies, quantify risk, and identify bottlenecks under varying conditions.
• Collaborate with Ops Planning and Network Planning teams to simulate flight schedules and assess impacts on reliability and resource utilization.
• Integrate simulation outputs with predictive analytics and optimization models to provide holistic decision support.
• Communicate simulation findings effectively to stakeholders, translating complex results into actionable insights for operational and strategic planning.
• Stay current with advances in simulation methodologies, including stochastic modeling, Monte Carlo techniques, and hybrid simulation approaches.
• Builds and maintain decision support models using simulation and/or statistical techniques.
• Assists with the flight schedule development, design and evaluation process by developing quantitative tools that address operational efficiency and robustness.
• Supports the company's long‑term strategic and growth initiatives through simulation modeling and other related analysis.
• Communicates effectively with stakeholders across the company and promotes data‑driven decision making.
• Interfaces with IT departments, related business departments, and outside vendors to ensure coordinated planning, evaluation and implementation of new decision support systems.
• Research current practices and industry trends, generate options for improvement, test new ideas and help the business unit with implementation. Benchmark American Airlines’ performance versus other airlines and industries.
• Keep abreast of latest advances in analytic techniques and IT solutions that solve complex airline business problems.

• Bachelor’s degree in a quantitative discipline (Operations Research, Industrial Engineering, Data Science, Applied Statistics, or related field).
• 3+ years of experience in simulation modeling and analysis.
• Proficiency in building simulation models using AirTOP, SIMMOD, Arena, SIMIO, or similar tools.
• Strong programming skills in Python, R, or Java for simulation automation and data integration.
• Experience with extraction, cleansing and analysis of large datasets to identify key trends and insights.
• Experience designing simulation experiments, analyzing outputs, and validating models against real‑world data.
• Familiarity with optimization techniques (LP, MIP) and ability to integrate simulation with optimization frameworks.
• Knowledge of data visualization tools (Tableau or similar) for presenting simulation results.
• Excellent interpersonal, relational, and communication skills (both oral and written).

• Domain knowledge in airline operations or transportation systems.
• Experience…