E-3 Visa Data Science Analyst Jobs
Data Science Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in statistics, mathematics, computer science, or a related field. Australian nationals can secure two-year renewable E-3 status with no lottery and no annual cap, making this one of the most direct paths to U.S. data roles.
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BSD PSY - Lyons Lab
About the Department
To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well-being of individuals, families, and their communities.
Job Summary
The Data Science Analyst provides technical assistance to help learners access and navigate online training systems. The Specialist serves as the liaison between end-users and the learning platform. Under direct supervision, this job performs a broad range of operational activities, which may include collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources. This job also performs assignments related to data manipulation, statistical applications, programming, analysis and modeling.
Responsibilities
- Monitor and respond promptly to messages in the LMS support email inbox and voicemail line.
- Provide clear, compassionate, and timely support to learners through phone and email.
- Troubleshoot issues with the LMS and know when to escalate or redirect to other team members or the platform provider’s support desk.
- Collaborate with the LMS provider’s support team to identify, report, and help resolve technical issues.
- Track and share patterns or recurring concerns that may indicate broader system issues.
- Work closely with the Technology & User Support Lead, teaching and learning specialists, and program administrators to improve learner support.
- Contribute to cross-team projects as needed, such as data entry, communications, or general tech assistance.
- Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
- May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
- Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.
- Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.
- Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
Certifications:
Preferred Qualifications
Experience:
- Learning Management Systems.
Technical Skills or Knowledge:
- Knowledge Learning Management Systems and Zendesk.
Preferred Competencies
- Strong communication skills with the ability to explain technical information in clear and supportive ways.
- Patience, empathy, and commitment to learner success.
- Detail-oriented and organized, with the ability to manage multiple requests efficiently.
- Comfort with technology and ability to learn new learning management systems.
- Excellent communication and coaching abilities.
- Proficiency with Microsoft Office 365 and LMS platforms.
- Organizational skills.
- Verbal and written communication skills.
- Work independently and as part of a multidisciplinary team.
Application Documents
- Resume/CV (required)
- Cover Letter (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Hourly
FLSA Status
Non-Exempt
Pay Range
$24.04 - $31.25
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need
Department
BSD PSY - Lyons Lab
About the Department
To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well-being of individuals, families, and their communities.
Job Summary
The Data Science Analyst provides technical assistance to help learners access and navigate online training systems. The Specialist serves as the liaison between end-users and the learning platform. Under direct supervision, this job performs a broad range of operational activities, which may include collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources. This job also performs assignments related to data manipulation, statistical applications, programming, analysis and modeling.
Responsibilities
- Monitor and respond promptly to messages in the LMS support email inbox and voicemail line.
- Provide clear, compassionate, and timely support to learners through phone and email.
- Troubleshoot issues with the LMS and know when to escalate or redirect to other team members or the platform provider’s support desk.
- Collaborate with the LMS provider’s support team to identify, report, and help resolve technical issues.
- Track and share patterns or recurring concerns that may indicate broader system issues.
- Work closely with the Technology & User Support Lead, teaching and learning specialists, and program administrators to improve learner support.
- Contribute to cross-team projects as needed, such as data entry, communications, or general tech assistance.
- Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
- May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
- Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.
- Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.
- Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
Certifications:
Preferred Qualifications
Experience:
- Learning Management Systems.
Technical Skills or Knowledge:
- Knowledge Learning Management Systems and Zendesk.
Preferred Competencies
- Strong communication skills with the ability to explain technical information in clear and supportive ways.
- Patience, empathy, and commitment to learner success.
- Detail-oriented and organized, with the ability to manage multiple requests efficiently.
- Comfort with technology and ability to learn new learning management systems.
- Excellent communication and coaching abilities.
- Proficiency with Microsoft Office 365 and LMS platforms.
- Organizational skills.
- Verbal and written communication skills.
- Work independently and as part of a multidisciplinary team.
Application Documents
- Resume/CV (required)
- Cover Letter (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Hourly
FLSA Status
Non-Exempt
Pay Range
$24.04 - $31.25
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Science Analyst
Translate your Australian degree for U.S. employers
A three-year Australian bachelor's in data science, statistics, or mathematics meets the E-3 specialty occupation requirement. Prepare a credential evaluation letter from a NACES-recognised evaluator so hiring managers and the DOL can confirm equivalency without delays.
Target employers with active LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data for companies that have filed LCAs for data analyst or data science roles. Employers with recent filings already understand the process, cutting weeks off your sponsorship timeline.
Clarify the specialty occupation case for analyst roles
Some employers misclassify data analyst positions as general business roles that any degree covers. Before accepting an offer, confirm the job description explicitly requires a degree in a quantitative field, not just any bachelor's degree, which is what USCIS checks.
Use Migrate Mate's E-3 filing service for your LCA and paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle the LCA submission with the DOL and prepare your consulate documents. Getting the prevailing wage level and job duties right on the LCA avoids the most common reason E-3 applications stall.
Time your consulate appointment around your start date
Australian E-3 consulate appointments in Sydney, Melbourne, or Perth typically process within a few weeks, but leave at least three to four weeks between your offer acceptance and your proposed start date so your employer can certify the LCA before you schedule.
Address dual intent early in salary negotiations
E-3 is a nonimmigrant visa, so consular officers assess whether you intend to return to Australia. If you're also exploring a long-term U.S. career, discuss green card sponsorship separately from your E-3 offer to avoid complicating your initial application.
Data Science Analyst jobs are hiring across the US. Find yours.
Find Data Science Analyst JobsData Science Analyst E-3 Visa: Frequently Asked Questions
How do I find Data Science Analyst jobs with E-3 visa sponsorship?
Use Migrate Mate to search Data Science Analyst roles filtered specifically for E-3 visa sponsorship. Most general job boards don't filter by visa type, so you end up contacting employers who won't sponsor at all. Migrate Mate surfaces roles where sponsorship is already confirmed, saving you the back-and-forth of asking hiring managers whether they've heard of the E-3.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Data Science Analyst role qualify as a specialty occupation for E-3 purposes?
Yes, provided the position genuinely requires a bachelor's degree or higher in a specific quantitative field such as statistics, data science, mathematics, or computer science. The role must not be one where any bachelor's degree, regardless of field, would satisfy the requirement. Employers should reflect this clearly in the job description and the LCA filed with the DOL.
How does the E-3 visa compare to H-1B for Data Science Analyst roles?
For Australian nationals, the E-3 is strictly preferable to H-1B for data science roles. There's no annual cap, no lottery, and no waiting period. H-1B has an 85,000-slot annual cap with a lottery that selected around 25% of registrants in recent fiscal years. An E-3 applicant with a qualifying offer can have a visa within weeks rather than waiting for a lottery result.
What happens to my E-3 status if my data analyst role changes significantly after I start?
Material changes to your job duties, employer, or work location can require a new LCA and, depending on the change, a new visa application. If your role shifts from individual contributor analyst work to a senior or managerial function with different duties, your employer should file an amended LCA with the DOL before the change takes effect to keep your status valid.
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