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Airline Cargo Analyst Jobs (NOW HIRING)

Keka Technologies Private Limited

WI · On-site

$150 - $200/hr

This role combines AI leadership, software engineering, data science, and airline cargo domain ... analytics. * 3+ years leading AI, machine learning, or data science teams. * Expertise in Python ...

ICSI.

Program Manager - 11043 Updated

Fort Worth, TX · On-site

$111K - $111K/yr

Ability to leverage data analytics for tracking project performance, optimizing processes, and ... Experience in airline, cargo, or logistics systems (iCargo or equivalent) strongly preferred Nice ...

ICSI

Program Manager - 11043

Fort Worth, TX · On-site

$111K - $111K/yr

... budget, while leveraging data analytics for performance tracking and decision-making ... in airline, cargo, or logistics systems (iCargo or equivalent) strongly preferred • Experience ...

Aviation Company

Cargo Supervisor

Queens, NY · On-site

$27.50/hr

Analyze operational issues, gather information, and develop appropriate solutions. REQUIREMENTS ... Knowledge of cargo, warehouse, airline, logistics, or transportation operations. * Strong ...

Worldwide Flight Services

$74K/yr

... of cargo shipments, luggage, business to customer delivery, and on-time flights while operating ... Attend safety committee meetings, analyze incident data, and engage employees in safety initiatives.

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Airline Cargo Analyst information

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$31K

$73.3K

$130K

How much do airline cargo analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for airline cargo analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Airline Cargo Analyst jobs?

For Airline Cargo Analyst jobs, the most frequently searched job titles are:

Infographic showing various Airline Cargo Analyst job openings in the United States as of June 2026, with employment types broken down into 77% Full Time, 13% Part Time, and 10% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

AI Engineering Lead - Air Cargo Practice

Fort Worth, TX • On-site

Keka Technologies Private Limited
See more jobs at Keka Technologies Private Limitedexternal

$150 - $200/hr

Other

Posted 21 days ago

Job description

AI Engineering Lead – Air Cargo Practice

8-15Years

Dallas, Pune, Hyderabad, Bangalore, Chennai + 1 locations

Full-Time

Position Summary

Lead the company's Artificial Intelligence strategy, development, and deployment of AI-powered solutions for air cargo revenue management, dynamic pricing, demand forecasting, and optimization. This role combines AI leadership, software engineering, data science, and airline cargo domain expertise to deliver innovative products that improve airline revenue, capacity utilization, and commercial decision-making.

Key Responsibilities
  • Define and execute the AI roadmap aligned with company strategy and product vision.
  • Design and deploy AI, Machine Learning, Generative AI, and Agentic AI solutions.
  • Build scalable AI platforms, MLOps processes, and governance frameworks.
  • Collaborate with product, engineering, commercial, and customer teams.
  • Lead and mentor AI engineers and data scientists.
  • Support customer engagements, product demonstrations, and thought leadership.
Qualifications
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, Operations Research, Engineering, or related field.
  • 8+ years of experience in AI/ML, software engineering, or advanced analytics.
  • 3+ years leading AI, machine learning, or data science teams.
  • Expertise in Python, Machine Learning, Deep Learning, Generative and Agentic AI, LLMs, optimization, and cloud platforms.
  • Knowledge of revenue management, pricing, forecasting, or optimization systems.
  • Air cargo, airline, logistics, or transportation industry experience preferred.
Success Measures
  • Deliver AI-powered pricing and revenue optimization capabilities.
  • Improve forecast accuracy and pricing effectiveness.
  • Launch Agentic AI solutions that automate commercial decision-making.
  • Establish scalable AI engineering practices and governance.
  • Position the company as an industry leader in AI-driven air cargo revenue management.
Ideal Candidate

A hands-on AI leader who can bridge advanced technology and business value, capable of leading a group of Data Scientists, engaging with airline executives, and delivering innovative AI solutions that drive measurable revenue and profitability improvements.

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