J-1 Visa Data And Analytics Jobs
Data and analytics professionals can pursue U.S. placements through J-1 visa sponsorship under the Intern or Trainee program categories, depending on your career stage. Designated sponsor organizations issue the DS-2019 and oversee your training plan while your host employer provides the hands-on role.
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Get Access To All JobsUNITED STATES, GEORGIA, ATLANTA
OPERATIONS ANALYSIS & PERFORMANCE
05-MAR-2026
REF #: 31666
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.
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
- 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)
UNITED STATES, GEORGIA, ATLANTA
OPERATIONS ANALYSIS & PERFORMANCE
05-MAR-2026
REF #: 31666
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.
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
- 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)
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Data And Analytics
Align your transcript to SOC codes
Data and analytics roles are classified under specific Standard Occupational Classification codes. Pull the O*NET profile for your target title before applying, and confirm your degree field maps directly to it. Mismatched credentials are the most common training plan rejection trigger.
Distinguish Intern from Trainee eligibility early
If you're currently enrolled in a degree program, you qualify for the Intern category. If you graduated within the past 12 months, the Trainee category applies. Applying under the wrong category delays DS-2019 issuance and can void a host employer's offer.
Request a detailed Training Plan from your host
Your designated sponsor requires a signed Training/Internship Placement Plan before issuing your DS-2019. Ask your host employer to document specific data tools, methodologies, and learning milestones by phase. Vague plans citing only 'data analysis' are routinely returned for revision.
Find J-1-compatible roles on Migrate Mate
Search Migrate Mate to identify U.S. employers actively hosting J-1 visa exchange visitors in data and analytics. Filter by role type so you're targeting host organizations already familiar with training plan requirements, not employers encountering the J-1 structure for the first time.
Verify the 2-year home residency requirement applies to you
Some J-1 participants in skills-list or government-funded programs must return home for two years after their exchange. Confirm with your designated sponsor whether your country of nationality and funding source trigger this requirement before signing an offer letter.
Confirm your host employer's SEVIS compliance capacity
The Student and Exchange Visitor Information System (SEVIS) requires your host to report changes in your role, location, or compensation. Ask prospective hosts whether they've worked with a designated sponsor before. Hosts unfamiliar with SEVIS reporting create compliance gaps that can affect your status.
Data And Analytics J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a data and analytics role?
It depends on your career stage. Current university students in data science, statistics, computer science, or a related field typically qualify under the Intern category. Professionals who have graduated within the past 12 months and have relevant work experience qualify under the Trainee category. Research-focused roles at universities or institutes may fall under Research Scholar, but those positions require an academic or research appointment, not a standard industry placement.
Who actually sponsors my J-1 visa in a data analytics placement?
Your visa sponsor is a U.S. Department of State-designated organization such as IIE, CIEE, Cultural Vistas, or AIPT. That organization issues your DS-2019, reviews your training plan, and monitors your compliance throughout the exchange. Your host employer, the company where you work day-to-day, is not your visa sponsor under the J-1 structure, which is different from H-1B visa or other employer-sponsored visas.
How do I find U.S. employers willing to host J-1 data professionals?
Use Migrate Mate to search for U.S. employers in data and analytics who are open to hosting J-1 exchange visitors. Many host organizations have prior experience working with designated sponsors, which significantly speeds up training plan approval and DS-2019 issuance. Targeting employers with that background reduces the risk of an offer falling through during the administrative phase.
What does a strong J-1 training plan look like for a data role?
Your Training/Internship Placement Plan needs to specify the tools you'll use (SQL, Python, Tableau, or similar), the methodologies you'll learn, and measurable learning objectives broken into phases over the duration of your exchange. Generic descriptions citing only 'data analysis' or 'reporting' are the most common cause of plan rejection by designated sponsors. Your host employer drafts it, but you should review it before submission.
Can I extend my J-1 placement if the project runs longer than planned?
Extensions are possible but must be requested before your DS-2019 end date. Your designated sponsor must approve an extension, your host employer must confirm continued program objectives, and the total duration cannot exceed the category maximum, which is 12 months for Interns and 18 months for Trainees. Extensions are not automatic and require updated documentation from both the host and the sponsor organization.