Co-op, Operations Analytics – Data Strategy and Enablement; Fall
Listed on 2026-06-18
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Overview
How you'll help us Keep Climbing (overview & key responsibilities)
The Operations Data Strategy & Enablement (ODSE) team isseeking highly motivated and curious individuals who are excited to leveragedata 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‑makingacross the business.
The Co-Op will work closely with analytics professionals inthe operation supporting one of the following functions or departments:
· Integrated Operations Planning (IOP) – Optimizingaircraft schedule and resource availability to maintain peak on-timeperformance
Operations Digital & Decision Science (ODDS) – Developing decision science toolsand 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-divisionaloperational initiatives and improvements for the operation of Delta’sregional airlines
Flight Operations (FOP) – Managing aircraft and gate to gate operations and performance
Onboard Services (OBS) – Optimizing process, supply, and inventory of inflightproducts and services
In-Flight Services (IFS) – Enhancing customer onboard experience and cateringoperations 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:
Analyticsengineering - 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 scalablesemantic layer
Data governance - steward good data management processes & standards(documentation, quality, access control, lineage, catalog)
Datawrangling - research, analyze, and interpret operational data to solve complex business problems
Technicaldata product management - drive "product" mindset for buildingscalable data solutions that provide business value
Automatedreporting - develop frameworks that enable faster reports & dashboards for insights generation
Data platform testing - pilot and test out new data platform and tools that maybenefit the operations analytics organization
Dataoptimization - identify opportunities to enhance operational metrics &processes
Students are required to complete threealternating 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 undergraduatecurriculum, is as follows:
Fall
2026Summer
2027Spring
2028Please ensure that this alternating semesterrotation works with your university, curriculum, and/or academic advisor before applying.
What you need to succeed (minimum qualifications)
Enrolled in an Undergraduate program in pursuitof a Bachelor’s degree in Computer Science, Analytics, Economics, Industrial Engineering, Information Systems, or similar 4-year degree program
Available for three alternating semesters forfull-time work
Ability to report in-person to Delta’s World Headquarters (Atlanta, GA) or willing to relocate each semester (housingstipends 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 similartools and programming languages
Proficiency in SQL and ETL/ELT patterns
Proficiency in Microsoft Office Suite and data analysis tools and concepts
Strong…
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