Co-op, Operations Analytics – Data Strategy and Enablement (Fall 2026)

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) –Ttracking 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.

WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS)

• 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

WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS)