About the role
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 This job is a member of the Revenue Management Team within the Revenue Engineering Division. Responsible for focusing on Ancillary Development, data Analysis, Revenue Integrity & Automation.
What you'll do
- Analyze revenue, customer, and flight data (SQL/Python/R) to run exploratory and ad‑hoc analyses that uncover trends and drivers, informing pricing, policy strategies and day‑to‑day decisions.
- Translate ambiguous business questions into measurable analyses, framing hypotheses, defining success metrics, and quantifying impact to guide strategic trade‑offs.
- Build and productionize automated pipelines, dashboards, and alerts that turn analyses into repeatable decision support—improving revenue outcomes and customer experience at scale. Analyze customer behavior and segmentation to identify opportunities (e.g., fare sensitivity, channel effects, market dynamics) and recommend targeted actions.
- Partner cross‑functionally (Pricing, Yield, Network Planning, Digital/Customer
- Experience, IT) to operationalize insights and track realized impact.
- Develop clear narratives and visualizations that communicate complex results to technical and non‑technical stakeholders, enabling faster, more informed decisions. Continuously monitor, measure, and iterate on analytical solutions and processes to improve accuracy, speed, and business impact. All you'll need for success
Minimum Qualifications
- Education & Prior Job Experience Bachelor's degree with significant coursework in a quantitative discipline (Economics, Mathematics, Engineering, Finance, Computer science, etc.) or equivalent experience/training
Preferred Qualifications
- Education & Prior Job Experience Hands‑on data experience working with large, complex datasets; strong SQL plus proficiency in Python or R for analysis, automation, and reproducibility. Bias for action / go‑getter attitude with ownership mindset; comfortable operating with incomplete information and delivering iterative value quickly. Ability to break down big, ambiguous problems into smaller, testable components; plan and execute analyses that ladder up to strategic recommendations.
Self‑service orientation—skilled at independently finding, understanding, and using available data sources, tools, and documentation to answer questions end‑to‑end. Experience building automated workflows/pipelines (e.g., scheduling/orchestration, data quality checks) and decision‑support dashboards (Power BI/Tableau or similar). Familiarity with experiment design and causal inference (A/B tests or quasi‑experimental methods) to measure impact where feasible.
Strong data storytelling
- concise writing, compelling visuals, and the ability to tailor messages to executive, business, and technical audiences. Skills , Licenses & Certifications Demonstrated analytical skills, including the ability to assemble information, extract pertinent facts, draw logical conclusions, and present recommendations
- Familiarity with software programs used in conducting quantitative analysis (Oracle, SAS, etc.) Refined skills in Microsoft Office software (e.g. Word, Excel, PowerPoint) Self-motivated Effective in a fast-changing environment Ability to work well within a team environment Capable of assimilating and leveraging the team's knowledge in support of ongoing and future projects Skilled in building consensus across an organization
- Proven ability to synthesize complex technical information across large data sets Excellent problem-solving skills Demonstrated leadership ability
- Strong attention to detail Ability to understand complex, interrelated elements Creative thinking with aptitude for identifying opportunities for innovation and process improvement Interest in optimization problem-solving, economic game theory, and consumer buying behavior Ability to make independent judgments and decisions while taking ownership of job responsibilities Willingness to take calculated risks Ability to communicate clearly and persuasively with internal and external stakeholders 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.