J-1 Visa Data Analytics Specialist Jobs
Data Analytics Specialist roles in the United States are available to international professionals through J-1 visa sponsorship, typically under the Trainee or Specialist program category. Host employers partner with State Department-designated sponsor organizations to issue your DS-2019 and structure a formal training or exchange program around your analytics work.
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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.
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Get Access To All JobsTips for Finding J-1 Visa Sponsorship as a Data Analytics Specialist
Align your credentials to specialty occupation standards
J-1 visa Specialist and Trainee programs require documented expertise in a recognized field. Compile transcripts, certifications in tools like SQL, Python, or Tableau, and a clear narrative connecting your analytics background to the host employer's training objectives.
Verify the host employer's sponsor relationship early
The employer you join must work with a State Department-designated sponsor organization to issue your DS-2019. Ask hiring managers directly which sponsor they partner with before accepting any offer, since not all employers have an established relationship.
Search Migrate Mate to find J-1-aligned data roles
Use Migrate Mate to identify U.S. employers actively hosting international professionals in data and analytics functions. Filtering by exchange-friendly roles saves time you'd otherwise spend cold-contacting companies without confirmed sponsor partnerships.
Build a training plan that satisfies DOL phase requirements
J-1 Trainee programs require a structured Training or Internship Placement Plan (DS-7002) broken into phases. Work with your host employer to map analytics projects, tools, and milestones to each phase so the designated sponsor can approve it without revision cycles.
Check whether your country triggers the two-year home residency rule
Many data professionals from government-funded or skills-shortage countries face a two-year home residency requirement after their J-1 program. Confirm your status before starting the offer process, since this affects your ability to later change to H-1B visa or adjust status without a waiver.
Time your DS-2019 request against the employer's project calendar
Designated sponsors typically need four to six weeks to issue a DS-2019 after receiving a completed training plan. Coordinate your target start date with the host employer's analytics team well in advance so project onboarding isn't delayed by administrative processing.
Data Analytics Specialist J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Data Analytics Specialist role?
The Trainee category applies if you've completed your degree within the past 12 months or have at least one year of relevant work experience. The Specialist category fits those with recognized expertise in a specialized field, such as advanced statistical modeling or machine learning. Current students completing a degree may qualify under the Intern category instead. Your host employer and their designated sponsor organization will confirm the correct classification based on your background and the program's objectives.
Who actually sponsors my J-1 visa -- the employer or someone else?
The visa sponsor is a State Department-designated organization -- not your employer. Organizations like Cultural Vistas, CIEE, or IIE issue your DS-2019 form and take legal responsibility for monitoring your program. The company where you work is called the host employer. They design the training plan and fund the placement, but they cannot issue the DS-2019 themselves without that designated sponsor relationship in place.
How do I find U.S. employers open to hosting J-1 data analytics professionals?
Most employers don't advertise J-1 hosting explicitly in job postings. Migrate Mate lets you search for U.S. roles and employers that align with international exchange placements, narrowing your target list to companies where the conversation about J-1 hosting is more likely to go somewhere productive. From there, you'll still need to confirm the employer has or is willing to establish a relationship with a designated sponsor organization.
Does the two-year home residency requirement affect data analytics J-1 holders?
It can. The requirement applies if your home country appears on the Exchange Visitor Skills List maintained by the State Department, or if your program was government-funded. Data science and analytics are classified as scarce skills in several countries, which increases the likelihood of the requirement applying. If it applies, you'll need a waiver before you can change status to H-1B or apply for a green card without first returning home for two years.
What documentation do I need before a host employer can submit my training plan?
You'll need academic transcripts or degree certificates, a resume showing relevant analytics experience, and any professional certifications in tools your program will involve. The host employer uses this to build the DS-7002 Training or Internship Placement Plan, which must detail the phases, skills, supervision structure, and evaluation criteria. The designated sponsor reviews all of this before issuing the DS-2019, so gaps in your documentation extend the timeline.