J-1 Visa Data Analytics Lead Jobs
Data Analytics Lead roles in the United States can be pursued through J-1 visa sponsorship under the Trainee or Specialist category, depending on your experience level. A designated sponsor organization issues your DS-2019, while your U.S. host employer guides your professional development program in data strategy and analytics leadership.
Find J-1 Visa Data Analytics Lead JobsOverview
Showing 5 of 9+ Data Analytics Lead jobs










See all Data Analytics Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Lead roles.
Get Access To All Jobs
Job Posting Title:
Postdoctoral Fellow, Center for Energy and Environmental Systems Analysis, Cockrell School of Engineering
Hiring Department:
Center for Energy and Environmental Systems Analysis
Position Open To:
All Applicants
Weekly Scheduled Hours:
40
FLSA Status:
Exempt from FLSA
Earliest Start Date:
Immediately
Position Duration:
Expected to Continue Until Apr 15, 2027
Location:
PICKLE RESEARCH CAMPUS
Job Details:
General Notes
The Postdoctoral Fellow will join a growing group of interdisciplinary experts in energy systems, greenhouse gas emissions, and energy policy within the Center for Energy and Environmental Systems Analysis (CEESA). CEESA operates across multiple engineering departments at UT Austin and routinely collaborates with stakeholders in government agencies, industry, and non-profit organizations. This is a temporary training position that may be renewed annually, for a maximum of five years, based upon performance review, progress towards research goals, and continuation of funding.
Position Purpose
The Postdoctoral Fellow will conduct research on developing physics-informed models of the gas-electric interconnection network with applications in voluntary carbon markets, risk assessments, and energy transition planning under the supervision of Dr. Arvind Ravikumar. The recent National Petroleum Council report on Gas-Electric Coordination highlighted the critical importance of understanding the interconnecting dependencies between the natural gas system and the electric grid. Yet, a physical model that tracks the flow of natural gas from production regions to power plants does not exist. Such a physical model, if developed, could unlock a range of new applications in energy system research including traceability of carbon intensity of delivered gas, quantitative risk assessments associated with gas grid disruptions, and long-term planning to repurpose natural gas pipelines to carry carbon dioxide or hydrogen. The postdoctoral fellow will be responsible for developing the model and illustrating its use across several application areas. This position will initially focus on developing a gas-electric integration model for the Southeast US, followed by an expansion to other regions.
Responsibilities
- Model Development: Develop a physics-informed model of integration of the natural gas pipeline system and electric power generation units in the US to probe interdependencies of the gas system and the electric system
- Case Studies and Application Areas: Use the gas-electric integration model to answer questions related to low-emissions gas certification, risk assessments in the electric system, and re-purposing pipelines to lower carbon solutions including CO2 transport
- Writing and Documentation: Leading peer-reviewed manuscripts, white papers, and project reports summarizing the findings of the research
- Performs other related duties as assigned
Required Qualifications
- Ph.D. in Energy System Engineering, Chemical Engineering, Atmospheric Sciences or a closely related field received within the last three years
- Demonstrated research experience in energy system modeling, greenhouse gas emission inventories, or engineering-based risk assessment models
Preferred Qualifications
- Demonstrated experience in communicating technical information to varied audiences in industry, government, and non-profit organizations
- Experience mentoring graduate and undergraduate students in research
- Strong track record of peer-reviewed publications and conference presentations
- Strong programming skills in Python
- Ability to work collaboratively with other research staff, post-doctoral scholars
Salary Range
$63,573 + depending on qualifications
Working Conditions
- Repetitive use of keyboard at workstation
- Repetitive use of standard office equipment
- Limited travel (2-3 trips per year to conferences and other meetings)
Required Materials
- CV that includes a full publication record
- Letter of interest
- 3 work references with their contact information; at least one reference should be from a supervisor
- Up to 2 relevant publications (peer-reviewed or pre-prints)
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume in the first step of the online job application process. Then, any additional Required Materials will be uploaded in the My Experience section; you can multi-select the additional files or click the Upload button for each file. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find Jobs. Before you apply though, log-in to Workday, navigate to your Worker Profile, click the Career link in the left-hand navigation menu and then update the sections in your Professional Profile. This information will be pulled into your application. The application is one page and you will need to click the Upload button multiple times in order to attach your Resume, References and any additional Required Materials noted above.
Employment Eligibility:
Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
E-Verify:
The University of Texas at Austin uses E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
- E-Verify Poster (English and Spanish) [PDF]
- Right to Work Poster (English) [PDF]
- Right to Work Poster (Spanish) [PDF]
Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified as a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.
See all J-1 Visa Data Analytics Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Data Analytics Lead Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Data Analytics Lead
Align your credentials to Trainee requirements
The J-1 visa Trainee category requires a degree plus one year of relevant experience, or five years of work experience in lieu of a degree. Document your analytics leadership history clearly before approaching any host employer or designated sponsor.
Target host employers with structured analytics programs
Host employers must provide a formal training plan, not just a job description. Prioritize organizations with dedicated analytics or data science divisions, since standalone analytics teams are more likely to have the infrastructure sponsors require for a valid training program.
Verify the 2-year home residency rule applies to you
If your home country appears on the Exchange Visitor Skills List, or if your training was government-funded, you may face a 2-year home residency requirement before changing to H-1B visa or green card status. Confirm your status through USCIS before accepting any offer.
Use Migrate Mate to find J-1-aligned analytics roles
Most job postings don't specify J-1 compatibility upfront. Search Migrate Mate to identify U.S. employers who have hosted exchange visitors in data and analytics functions, so you spend time on leads where a host relationship is already plausible.
Confirm your host employer can sign a training plan
The designated sponsor, not your employer, issues the DS-2019, but your employer must co-sign a detailed Training or Internship Placement Plan (Form DS-7002). Confirm your hiring manager has authority to execute this document before you get deep into negotiations.
Benchmark your offer against DOL prevailing wage data
J-1 Trainees and Specialists must be compensated at the prevailing wage for the role and location. Run a cross-check using the OFLC Wage Search and O*NET before signing an offer to ensure your compensation meets the standard a sponsor will require.
Data Analytics Lead J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Data Analytics Lead role?
Most professionals at this level qualify under the J-1 Trainee or Specialist category. Trainee suits candidates with a relevant degree plus at least one year of analytics experience. Specialist applies to those with substantial field expertise but no formal degree. The Intern category is limited to current students and won't apply to lead-level professionals already working in the field.
Who actually sponsors my J-1 visa if an employer wants to hire me?
A U.S. Department of State-designated sponsor organization issues your DS-2019 form and holds legal responsibility for your exchange program. Your hiring employer is the host, not the visa sponsor. Common designated sponsors for professional and technical programs include Cultural Vistas and AIPT. The host employer funds your salary and signs your training plan, but the sponsor manages compliance and monitors your program.
How do I find U.S. employers open to hosting a J-1 Data Analytics Lead?
Most employers don't advertise J-1 compatibility in job postings, which makes targeted searching difficult through general job boards. Migrate Mate lets you filter for U.S. employers that have supported exchange visitor placements in data and analytics roles, giving you a starting list of organizations already familiar with the host-employer process rather than ones you'd need to educate from scratch.
What does the DS-7002 training plan require for a data analytics role?
The DS-7002 must outline specific skills you'll develop, the methods used to train you, and measurable performance objectives tied to your analytics leadership work. Vague descriptions of day-to-day duties won't pass sponsor review. Your plan should detail exposure to tools, methodologies, and decision-making frameworks relevant to the lead level, not just routine tasks a junior analyst would perform.
Can I transition from J-1 to H-1B after my data analytics program ends?
You can pursue H-1B after J-1, but the 2-year home residency requirement blocks that path for some exchange visitors. If your home country is on the State Department Exchange Visitor Skills List or your program was government-financed, you must return home for two years or obtain a waiver before changing status. Confirm whether this requirement applies to you through USCIS before planning a transition timeline.