How You'll Help Us Keep Climbing (Overview & Key Responsibilities)
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.
As a Cargo Pricing & Revenue Management Co‑Op, you will work on analytically rigorous problems at the intersection of pricing optimization, demand modeling, and revenue maximization. You will support the Process, Development, and Innovation team in developing scalable tools and models that enable more precise, consistent, and automated pricing decisions.
This role is ideal for candidates interested in applying quantitative methods to real-time, high-impact commercial decisions.
Key Responsibilities Include
- 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 (skills & Experience)
- 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 (Minimum Qualifications)
- 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
- This position requires student to work for 3 alternating semesters. Student cannot actively take any courses (inclusive of online or in-person) and work as a Co-op/Intern at the same time, which may delay graduation by 1-2 semesters.
- Working as a Co-op/Intern does not guarantee a full-time opportunity at Delta Air Lines upon graduation. This position is intended to provide educational and professional work experience to prepare the student for the workforce.
- Consistently prioritizes safety and security of self, others, and personal data.
- Embraces diverse people, thinking, and styles.
- Possesses a high school diploma, GED, or high school equivalency.
- Is at least 18 years of age and has authorization to work in the United States.
What Will Give You a Competitive Edge (Preferred Qualifications)
- 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
