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Analyst​/Sr Analyst, Revenue Management Development

Job in Fort Worth, Tarrant County, Texas, 76102, USA
Listing for: American Airlines
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 85000 - 110000 USD Yearly USD 85000.00 110000.00 YEAR
Job Description & How to Apply Below

Analyst/Sr Analyst, Revenue Management Development View Profile

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Analyst/Sr Analyst, Revenue Management Development Posting

Start Date:

9/9/26

Location:

DFW Headquarters Building 8 (DFW-SV08)
Cities:

Fort Worth - TX

Requisition
This job will continue to be posted until at least 9/16/26. If interested, please apply prior to this date.

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 is an analytics + automation role in Revenue Management: diagnose opportunities with data, recommend strategy, and build repeatable tools that improve revenue and customer experience at scale.
  • This job is a member of the Revenue Management Team within the Revenue Engineering Division - responsible for focusing on Ancillary & RM Development, Data Analysis, Revenue Integrity & Automation
What you'll do

This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

  • 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 product ionize 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…
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