E-3 Visa Business Intelligence Analyst Jobs
Business Intelligence Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in fields like information systems, statistics, or computer science. The E-3 has no lottery and no annual cap, so you can accept an offer and start the filing process at any time of year.
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INTRODUCTION
The Research and Analytics Data (RAaD) team within the Office of Research Information Systems (ORIS) seeks to hire two Business Intelligence Analysts who will play key roles in advancing data-informed decision-making across research administration and the university. These positions will interpret and analyze complex data to support strategic planning, improve operational efficiency, and inform initiatives led by the Vice President for Research (VPR) and campus partners. The analysts will work closely with the VPR and research administration leadership across campus to develop reports, dashboards, analyses, and recommendations that support institutional goals.
One position is a senior-level Business Intelligence Analyst focused primarily on internal university research administration data requiring four to eight years depending on education. The second position will focus primarily on external and benchmarking data related to research activity and impact and requires two to six years depending on level and education.
Successful candidates will be detail oriented, collaborative, and skilled at turning complex data into clear and actionable insights.
Applicants for both positions must have professional experience beyond internships.
Please note in your application and cover letter which position you are applying for. Salary will be determined by which track the position is hired into.
LOCATION
Location: Campus
City: Salt Lake City, UT
JOB SUMMARY
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
Business Intelligence Analyst (Senior)
Advanced Track (P4): Salary Range: $90,000 to $105,000; or
Career Track (P3): Salary Range: $80,000 to $95,000
This role will primarily be responsible for analyzing internal university data related to the research enterprise, including but not limited to proposals and awards, expenditures, technology licensing and commercialization, and human resources and faculty appointments related to research.
The successful candidate will be a seasoned analytics professional with strong expertise in data analysis, data visualization, and stakeholder collaboration. This individual will lead highly complex analyses, translate business needs into reporting and dashboard solutions, and communicate findings and recommendations to senior leaders and decision-makers across the research enterprise. The role requires the ability to work independently, synthesize data from multiple sources, identify patterns and opportunities, and support strategic and operational decisions across the university.
Business Intelligence Analyst
Developing Track (P2): Salary Range: $62,000 to $77,000; or
Career Track (P3): Salary Range: $80,000 to $95,000
This role will primarily be responsible for analyzing external data relevant to the university’s research enterprise, including but not limited to bibliometric, benchmarking, research impact, faculty productivity, tech transfer, and research expenditure data. Key sources may include Dimensions.ai, IRIS, Academic Analytics, SciVal, AUTM, the NSF HERD Survey, and other publicly available and purchased datasets.
The successful candidate will support the development of reports, dashboards, and analyses that help research administration leadership understand institutional performance, benchmark against peer institutions, and identify trends and opportunities. This role requires strong analytical and communication skills, attention to detail, and the ability to work with structured and semi-structured data from multiple external sources.
At the P2 level, the analyst will perform professional work of increasing complexity under guidance, with opportunities to build technical skills. At the P3 level, the analyst will be expected to work more independently, manage moderately complex projects, and contribute to the development of reporting approaches and analytic recommendations.
MINIMUM QUALIFICATIONS
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:
Business Intelligence Analyst, II: Requires a bachelor’s (or equivalency) + 4 years or a master’s (or equivalency) + 2 years of directly related work experience.
Business Intelligence Analyst, III: Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience.
Business Intelligence Analyst, IV: Requires a bachelor’s (or equivalency) + 8 years or a master’s (or equivalency) + 6 years of directly related work experience.
PREFERENCES
Business Intelligence Analyst, P4 or P3 (Senior)
- Advanced proficiency in data visualization tools, preferably Tableau, including dashboard design and data storytelling best practices
- Advanced SQL skills and experience querying complex relational datasets
- Demonstrated experience cleaning, joining, manipulating, and analyzing large and complex datasets from multiple sources
- Experience translating stakeholder questions into analytic approaches, reports, dashboards, and recommendations
- Strong written, verbal, and interpersonal communication skills, with the ability to present complex findings to technical and non-technical audiences
- Experience defining KPIs, metrics, or performance indicators
- Experience with Python and/or R for data analysis
- Experience consulting with senior leaders or executive stakeholders
- Experience working within higher education (research administration preferred), government, or other complex institutional data environments
- Experience mentoring, coaching, or guiding other analysts
Business Intelligence Analyst, P3 or P2
- Experience with data visualization tools, preferably Tableau
- Experience writing SQL queries and working with structured datasets
- Experience querying, cleaning, manipulating, and analyzing data from multiple sources
- Demonstrated aptitude for learning new data tools and subject matter quickly
- Strong written, verbal, and interpersonal communication skills, with the ability to present information clearly to technical and non-technical audiences
- Experience with external benchmarking, bibliometric, or higher education datasets
- Experience with Python and/or R is helpful but not required
TYPE
Benefited Staff
SPECIAL INSTRUCTIONS SUMMARY
ADDITIONAL INFORMATION
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non-Discrimination page.
Online reports may be submitted at https://oeo.utah.edu.
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

INTRODUCTION
The Research and Analytics Data (RAaD) team within the Office of Research Information Systems (ORIS) seeks to hire two Business Intelligence Analysts who will play key roles in advancing data-informed decision-making across research administration and the university. These positions will interpret and analyze complex data to support strategic planning, improve operational efficiency, and inform initiatives led by the Vice President for Research (VPR) and campus partners. The analysts will work closely with the VPR and research administration leadership across campus to develop reports, dashboards, analyses, and recommendations that support institutional goals.
One position is a senior-level Business Intelligence Analyst focused primarily on internal university research administration data requiring four to eight years depending on education. The second position will focus primarily on external and benchmarking data related to research activity and impact and requires two to six years depending on level and education.
Successful candidates will be detail oriented, collaborative, and skilled at turning complex data into clear and actionable insights.
Applicants for both positions must have professional experience beyond internships.
Please note in your application and cover letter which position you are applying for. Salary will be determined by which track the position is hired into.
LOCATION
Location: Campus
City: Salt Lake City, UT
JOB SUMMARY
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
Business Intelligence Analyst (Senior)
Advanced Track (P4): Salary Range: $90,000 to $105,000; or
Career Track (P3): Salary Range: $80,000 to $95,000
This role will primarily be responsible for analyzing internal university data related to the research enterprise, including but not limited to proposals and awards, expenditures, technology licensing and commercialization, and human resources and faculty appointments related to research.
The successful candidate will be a seasoned analytics professional with strong expertise in data analysis, data visualization, and stakeholder collaboration. This individual will lead highly complex analyses, translate business needs into reporting and dashboard solutions, and communicate findings and recommendations to senior leaders and decision-makers across the research enterprise. The role requires the ability to work independently, synthesize data from multiple sources, identify patterns and opportunities, and support strategic and operational decisions across the university.
Business Intelligence Analyst
Developing Track (P2): Salary Range: $62,000 to $77,000; or
Career Track (P3): Salary Range: $80,000 to $95,000
This role will primarily be responsible for analyzing external data relevant to the university’s research enterprise, including but not limited to bibliometric, benchmarking, research impact, faculty productivity, tech transfer, and research expenditure data. Key sources may include Dimensions.ai, IRIS, Academic Analytics, SciVal, AUTM, the NSF HERD Survey, and other publicly available and purchased datasets.
The successful candidate will support the development of reports, dashboards, and analyses that help research administration leadership understand institutional performance, benchmark against peer institutions, and identify trends and opportunities. This role requires strong analytical and communication skills, attention to detail, and the ability to work with structured and semi-structured data from multiple external sources.
At the P2 level, the analyst will perform professional work of increasing complexity under guidance, with opportunities to build technical skills. At the P3 level, the analyst will be expected to work more independently, manage moderately complex projects, and contribute to the development of reporting approaches and analytic recommendations.
MINIMUM QUALIFICATIONS
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:
Business Intelligence Analyst, II: Requires a bachelor’s (or equivalency) + 4 years or a master’s (or equivalency) + 2 years of directly related work experience.
Business Intelligence Analyst, III: Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience.
Business Intelligence Analyst, IV: Requires a bachelor’s (or equivalency) + 8 years or a master’s (or equivalency) + 6 years of directly related work experience.
PREFERENCES
Business Intelligence Analyst, P4 or P3 (Senior)
- Advanced proficiency in data visualization tools, preferably Tableau, including dashboard design and data storytelling best practices
- Advanced SQL skills and experience querying complex relational datasets
- Demonstrated experience cleaning, joining, manipulating, and analyzing large and complex datasets from multiple sources
- Experience translating stakeholder questions into analytic approaches, reports, dashboards, and recommendations
- Strong written, verbal, and interpersonal communication skills, with the ability to present complex findings to technical and non-technical audiences
- Experience defining KPIs, metrics, or performance indicators
- Experience with Python and/or R for data analysis
- Experience consulting with senior leaders or executive stakeholders
- Experience working within higher education (research administration preferred), government, or other complex institutional data environments
- Experience mentoring, coaching, or guiding other analysts
Business Intelligence Analyst, P3 or P2
- Experience with data visualization tools, preferably Tableau
- Experience writing SQL queries and working with structured datasets
- Experience querying, cleaning, manipulating, and analyzing data from multiple sources
- Demonstrated aptitude for learning new data tools and subject matter quickly
- Strong written, verbal, and interpersonal communication skills, with the ability to present information clearly to technical and non-technical audiences
- Experience with external benchmarking, bibliometric, or higher education datasets
- Experience with Python and/or R is helpful but not required
TYPE
Benefited Staff
SPECIAL INSTRUCTIONS SUMMARY
ADDITIONAL INFORMATION
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non-Discrimination page.
Online reports may be submitted at https://oeo.utah.edu.
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.
See all 316+ Business Intelligence Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Intelligence Analyst roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Business Intelligence Analyst
Align your degree to the role
BI Analyst positions require a degree in a specific related field, not just any bachelor's. Confirm your transcript shows information systems, statistics, data science, or computer science, a general business degree alone may not satisfy the specialty occupation requirement.
Target employers with LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to find companies that have filed Labor Condition Applications for BI Analyst or data analyst roles. These employers already understand the E-3 process and won't treat sponsorship as a blocker.
Get your Australian credentials assessed early
A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes, but have a credential evaluation ready before interviews. Delays in assessment can slow the LCA filing after you receive an offer.
Use Migrate Mate's E-3 filing service after your offer
Once you have a signed offer letter, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This covers DOL certification, DS-160 preparation, and consulate appointment readiness without needing a separate immigration attorney.
Negotiate your start date around LCA certification
The DOL certifies LCAs within seven business days in most cases. Build at least three to four weeks into your proposed start date after offer acceptance to allow for LCA certification, DS-160 submission, and consulate scheduling in Sydney, Melbourne, or Perth.
Business Intelligence Analyst jobs are hiring across the US. Find yours.
Find Business Intelligence Analyst JobsBusiness Intelligence Analyst E-3 Visa: Frequently Asked Questions
Where can I find Business Intelligence Analyst jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 visa sponsorship roles in the United States. Rather than filtering through general job boards where sponsorship status is often unclear, Migrate Mate surfaces BI Analyst positions at employers with verified U.S. sponsorship activity, so you're applying where it actually counts.
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 Business Intelligence Analyst role qualify as a specialty occupation for the E-3?
Yes, in most cases. USCIS treats BI Analyst positions as specialty occupations when the role requires applying statistical modeling, SQL, data warehousing, or visualization tools at a level that normally requires at least a bachelor's degree in a directly related field. Generic analyst titles with no technical requirement attached carry more risk, so the job description wording matters.
How does the E-3 compare to the H-1B for Business Intelligence Analyst roles?
For Australian nationals, the E-3 is significantly more practical. There's no annual lottery, no cap, and no multi-year wait to start work. You can receive an offer in October and begin working by November if consulate scheduling cooperates. The H-1B requires winning a lottery in April with an October 1 start date at the earliest, and most registrants aren't selected.
Can I transfer my E-3 to a new BI Analyst employer if I change jobs?
Yes, but the process starts fresh with each employer. Your new employer files a new LCA with DOL, and you'll need to attend a consulate interview in Australia or apply for a change of status inside the U.S. if you're already here. There's no portability provision equivalent to the H-1B's AC21 rule, so plan your transition timeline carefully.
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