Co-op, Cargo Pricing and Revenue Management (Fall 2026)

How You'll Help Us Keep Climbing

At Delta, we don’t just move people. We move the world. Delta Cargo is a key part of that mission, moving freight in the belly of our passenger aircraft to more than 275 destinations across six continents. From online orders and fresh produce to life-saving medical shipments and high-value goods, Delta Cargo connects businesses to markets through a global network built on trust and reliability.

Key Responsibilities

• Support development and enhancement of decision support systems for pricing optimization (e.g., Next Level Pricing platform)
• Perform exploratory data analysis (EDA) and statistical analysis to identify pricing, demand, and elasticity trends
• Develop and maintain data pipelines, dashboards, and performance metrics to monitor yield, revenue, and margin outcomes
• Apply structured problem-solving to ambiguous commercial challenges using quantitative frameworks
• Partner with analysts and stakeholders to translate business requirements into analytical solutions and models
• Contribute to process automation and scalability through data-driven workflows and tooling improvements

What You’ll Gain

• Hands-on experience applying quantitative methods to pricing and revenue optimization
• Exposure to real-world applications of forecasting, elasticity modeling, and decision science
• Experience building production-oriented analytics tools and visualizations
• Opportunity to contribute to initiatives that directly impact revenue, yield, and margin performance in a global network
• Mentorship from industry professionals in revenue management and data analytics

Additional Information

This co-op is designed to provide hands-on, applied analytics experience. Candidates are expected to prioritize data integrity, security, and operational reliability. Delta is committed to fostering a diverse and inclusive, data-driven culture.

Why Delta?

At Delta, you will work on high-impact analytical problems at scale, applying quantitative methods to optimize a global operation. This role offers exposure to real-world revenue management systems, complex datasets, and advanced pricing challenges, preparing you for careers in operations research, data science, and analytics.

What You Need To Succeed

• Must be enrolled as a full-time student pursuing an undergraduate degree in a 4-year academic institution.
• At least a 3.0 GPA on a 4-point scale.
• Must be available to work on a full-time basis for 3 alternating semesters: Fall 2026, Summer 2027, and Spring 2028.
• Please ensure that this alternative semester rotation works with your university, curriculum, and/or academic advisor before applying.
• Must be able to work onsite in our Atlanta, GA office for the duration of the Co-op.
• Strong foundation in quantitative analysis (statistics, optimization, or modeling).
• Strong analytical thinking, problem structuring, and attention to detail.
• Ability to communicate complex analytical concepts clearly to non-technical audiences.

What Will Give You a Competitive Edge

• Preferred majors in Operations Research, Data Science, Statistics, Applied Mathematics, Economics, or related field.
• Experience with programming and data tools such as Python, SQL, R, or similar.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Proficiency in Microsoft Excel (including advanced functions such as pivot tables, lookups, and data manipulation).
• Exposure to optimization, forecasting, regression, or machine learning methods.
• Demonstrated ability to work with large datasets and extract actionable insights.
• Interest in pricing strategy, revenue management, or applied analytics in transportation/logistics.