Co-op, Operations Analytics – Data Strategy and Enablement; Fall

How You’ll Help Us Keep Climbing (Overview & Key Responsibilities)

The Operations Data Strategy & Enablement (ODSE) team is seeking highly motivated and curious individuals who are excited to leverage data to improve the operations.

ODSE enables the Operations Analytics organization by providing a unified, modern data foundation that improves data quality, accelerates insights, and empowers faster, smarter decision‑making across the business.

The Co‑Op will work closely with analytics professionals in the operation supporting one of the following functions or departments:

• Integrated Operations Planning (IOP) – Optimizing aircraft schedule and resource availability to maintain peak on‑time performance
• Operations Digital & Decision Science (ODDS) – Developing decision science tools and digital product solutions
• Corporate Safety, Security & Compliance (CSSC) – Supporting the safety and security of the airline and its employees
• Airport Customer Service (ACS) – Improving airport processes and managing performance
• Crew – Improving Pilot and Flight Attendant operations and performance efficiency
• Delta Connection (DC) – Supporting end to end analytics and cross‑divisional operational initiatives and improvements for the operation of Delta’s regional airlines
• Flight Operations (FOP) – Managing aircraft and gate to gate operations and performance
• Onboard Services (OBS) – Optimizing process, supply, and inventory of inflight products and services
• In‑Flight Services (IFS) – Enhancing customer onboard experience and catering operations and performance
• Operations & Customer Center (OCC) – Tracking on‑time flight metrics, weather, day‑of flight analyses
• Central – Managing centralized operations and competitive performance analyses

Though individual responsibilities will vary by supporting division, some functional examples include:

• Analytics engineering – build data pipelines & re‑usable patterns (ETL/ELT) that transform raw sources into curated, analysis‑ready datasets
• Data modeling – curate an operations‑oriented ontology to build a scalable semantic layer
• Data governance – steward good data management processes & standards (documentation, quality, access control, lineage, catalog)
• Data wrangling – research, analyze, and interpret operational data to solve complex business problems
• Technical data product management – drive “product” mindset for building scalable data solutions that provide business value
• Automated reporting – develop frameworks that enable faster reports & dashboards for insights generation
• Data platform testing – pilot and test out new data platform and tools that may benefit the operations analytics organization
• Data optimization – identify opportunities to enhance operational metrics & processes

Students are required to complete three alternating semesters of work and school; all rotations must be completed before the student's graduation.

Note:

Students are not permitted to work part‑time hours and should refrain from taking classes and working as a co‑op in the same semester. The full‑time work schedule for this role, while remaining actively enrolled in an approved undergraduate curriculum, is as follows:

• Fall 2026
• Summer 2027
• Spring 2028

* Please ensure that this alternating semester rotation works with your university, curriculum, and/or academic advisor before applying.

• Enrolled in an Undergraduate program in pursuit of a Bachelor’s degree in Computer Science, Analytics, Economics, Industrial Engineering, Information Systems, or similar 4‑year degree program
• Available for three alternating semesters for full‑time work
• Ability to report in‑person to Delta’s World Headquarters (Atlanta, GA) or willing to relocate each semester (housing stipends will be provided to students who meet the minimum criteria)
• Team oriented and highly supportive of continuous improvement methodologies
• Basic understanding of data management & enablement functions: ETL/ELT pipelines, relational database fundamentals, modeling concepts, etc.
• Proficiency with Python, SAS or other similar tools and programming languages
• Proficiency in SQL and ETL/ELT patterns
• Proficiency in Microsoft Office Suite and data analysis tools and concepts
• Strong organizational, project management, and verbal/written communication skills are essential
• Willingness/ability to adapt quickly and learn new skills is required
• 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.