American Airlines

American Airlines

Analyst/Sr Analyst, Industrial Engineer (DFW)

Irving, Dallas · Senior

Sponsorship not specifiedDetected 43 days ago
Data AnalysisData VisualizationExcelProcess ImprovementRoboticsResearchProblem SolvingMicrosoft OfficeLean Manufacturing

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odds of building a lasting career here

88Lottery-free
Cap-exempt (no lottery)100
Sponsors year-round90
Entry-level history60
PERM / green-card track50
Fits your clock70

Files H-1B any time — no cap, no lottery. The 2026 weighted-selection rule doesn't touch it, which makes this the strongest structural path for entry-level talent. Pay is often lower, but your odds of staying are dramatically higher.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

States it is exempt from the H-1B cap

In 1 Department of Labor filing, this employer states it is an institution of higher education — one of the statutory grounds for exemption from the H-1B cap. Cap-exempt employers can file year-round without entering the lottery.Employer's own attestation on a Department of Labor wage determination, not a USCIS determination — exemption is decided per petition.

Green-card follow-through: 56%

Of 55 labor certifications old enough to have been used, 24 expired without the employer filing the next step. Median time from filing to decision: 443 days.99% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

76 transfer filings in the last year, covering 76 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Intro** Are you ready to explore a world of possibilities, both at work and during your time off?
  • 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.

Nice to have

  • Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you.
  • This role is responsible for analyzing and optimizing warehouse operations through the application of engineering principles, data analysis, and process improvement methodologies.
  • Bachelor's Degree in Industrial Engineering, Operations Research, or related field.
  • Master's Degree in Industrial Engineering, Operations Research, or related field.
  • 5+ years of experience in industrial engineering, operations research, or related field.
  • Experience with automation and technology solutions, including robotics and data analytics - Certification in Lean Six Sigma or other process improvement methodology **Skills, Licenses & Certifications**.
  • Strong proficiency in Microsoft Office, including Excel, Word, and PowerPoint.
  • Experience with data analytics tools, including Tableau, Power BI, or similar.

Benefits

  • You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. + Health
  • 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:

Company info

  • Feel free to enrich both your personal and work life and hop on board! **Why you'll love this job** The Analyst/ Sr Analyst, Industrial Engineer is part of the Technical Operations Division.

Equal opportunity

  • EQUAL EMPLOYMENT OPPORTUNITY/ AFFIRMATIVE ACTION POLICY American Airlines maintains a continuing policy of nondiscrimination in employment.
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This listing is sourced directly from American Airlines's careers page and normalized into a canonical job model.