Business Intelligence Intern Jobs in USA with Visa Sponsorship
Business Intelligence Intern roles are among the more sponsorship-friendly entry-level positions in tech, with employers regularly filing H-1B visa and OPT-compatible positions. Most require a bachelor's or master's degree in a quantitative field, making them strong specialty occupation candidates. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
Under limited supervision, the Business Intelligence Analyst will champion and provide leadership, and support for the ongoing design, development, and advancement of diverse BI/Data Analytics pursuits focused on data warehousing, data mining, data structuring, data analytics, advanced visualization, and related technologies in furthering the missions of UT Health San Antonio. This role will operationalize business intelligence solutions and conduct advanced, timely, and relevant analytics in support of business partners/leaders to identify opportunities, and highlight strengths and opportunities to meet organizational strategies, objectives, and goals. Provides technical leadership to less experienced team members and will lead medium size projects through all phases of the implementation lifecycle.
ABOUT THE JOB
The University of Texas at San Antonio (UT San Antonio) is a nationally recognized, top-tier public research university that unites the power of higher education, biomedical discovery and healthcare within one visionary institution. As the third-largest research university in Texas and a Carnegie R1-designated institution, UT San Antonio is a model of access and excellence — advancing knowledge, social mobility and public health across South Texas and beyond. UT San Antonio serves approximately 42,000 students in 320 academic programs spanning science, engineering, medicine, health, liberal arts, AI, cybersecurity, business, education and more. With 17,000 faculty and staff, UT San Antonio has been recognized by Forbes as one of America’s Best Employers for Company Culture.
BENEFITS OVERVIEW
UT Health San Antonio offers an excellent benefits package for its employees. Employees who work at least 20 hours a week, with an appointment of at least 4.5 months, are eligible for benefits.
Medical
- UT SELECT Medical insurance is offered free for employees and administered by Blue Cross and Blue Shield of Texas. Family members can be added to the plan through payroll deduction. Employees and their dependents can also receive discounted copays and coinsurance when using UT Health Physicians, a network of 800 premier physicians including more than 100 specialists. Employees receive $50,000 of group term life insurance and $50,000 of basic accidental death and dismemberment insurance for free, with options to purchase additional employee and dependent coverage for both at group rates.
Dental
- Three dental insurance plan options are available for employees and their families through Delta Dental Insurance Company, two PPOs and one dental HMO plan. Both PPO plans allow employees to choose any licensed dentist.
Vision
- Fully insured Vision Care benefits are offered by Superior Vision Services. Two vision plan options that offer either standard or enhanced vision benefits.
Disability
- Employees can enroll in the Disability Insurance which provides income if a non-work related illness or injury prevents you from working.
FSAs
- Employees can enroll in flexible spending accounts (FSAs) to set aside money from earnings before taxes for qualifying dependent day care expenses or out-of-pocket health care expenses.
Retirement
- Employees are eligible for either the Teacher Retirement System (TRS) or the Optional Retirement Plan (ORP). TRS is a defined benefit retirement plan which UT Health matches employee contributions. ORP is for eligible faculty staff employees. Voluntary retirement programs are also available to invest before- or after-tax dollars with the choice of five quality retirement plan providers.
Time Off
A generous leave program offers multiple paid leave options:
- Front-loaded Paid Time Off: 128 to 208 hours (16 to 26 days) of Paid Time Off based on years of service, given at the start of each fiscal year. PTO may be prorated in year one based on date of hire.
- Extended Illness Bank: 8 hours (1 day) accrued per month which can be used for illness or injury after one day of Paid Time Off is taken.
- Paid Family Leave: Up to 240 hours (6 weeks) to care for a spouse, child, or parent after 6 months of consecutive employment.
- Holidays: 12 set paid holidays each year.
Discounts
- Employees enjoy a range of discounts on services, tickets, and gym membership.
BASIC QUALIFICATIONS
- Advanced understanding of Epic data models and software analytical tools.
- Proven ability to work independently.
- Advanced critical and analytical thinking proficiencies.
- Excellent verbal/written communication and follow-up skills.
- Demonstrated advanced troubleshooting competencies.
- Excellent organizational and project management skills.
- Strong understanding of Data Warehousing Concepts.
Education
Bachelors degree in a scientific, technical, healthcare informatics, or mathematics field.
Experience
- Five (5) years of experience in data analytics, data science, data warehousing, data lakes and marts, metadata management, and dimensional is required.
- Experience working with Epic Clarity and Caboodle data models, reporting tools, and clinical data is highly preferred.
- Experience supporting Epic Inpatient applications is preferred.
ADDITIONAL LICENSES/CERTIFICATIONS
- Certified in Tableau or Power BI or relevant visualization tools preferred.
- Proficiency with sophisticated analytics tools and programming languages (SAS, R, Python, Java, Spark, Hadoop, Alteryx, SQL); proficiency with data visualization tools (Tableau, QlikView, and others) is preferred.
- Certified in Epic Cogito Data Warehouse & Caboodle Data Model. Epic certification must be maintained per Epic Corporation standards is preferred.
This position may require the ability to maintain the security and integrity of UT San Antonio and its infrastructure per Texas EO-GA-48.
Responsibilities
- Define complex and detailed statistical analyses and modeling of clinical and operational data with outputs that are clear and relevant to stakeholders; such as opportunity analyses, clinical trending, operational KPIs, predictive modeling, program evaluation, customer reporting, product development, and ad-hoc analytics.
- Participate in the design and development of statistical analyses and reports that explore and present large amounts of data to discover underlying patterns and trends related to volumes, operational efficiency, cohort analysis, and clinical performance.
- Analyze large datasets to discover trends, patterns, and actionable insights.
- Apply research and evaluation standards, descriptive statistics, and data management principles to translate complex data into meaningful content.
- Present findings using verbal, written, and graphic communication techniques. Offer recommendations to support organizational performance improvement.
- Independently complete analysis, development, and enhancement of analytical and operational BI solutions to fulfill business needs.
- Apply understanding of dimensional data modeling techniques, data warehousing, design, and concepts to produce balanced scorecard design, and design of dashboards and KPI's (Key Performance Indicators).
- Stay informed about Business Intelligence industry trends, technologies and best practices that can be applied to achieve organizational objectives.
- Analyze large data sets of structured, semi-structured unstructured data to discover data insights and collaborate with business partners to deliver business value.
- Design interactive and/or advanced visualizations (Tableau) that enhance analytics storytelling to support business decisions.
- Navigate multiple business lines and draw holistic insights from large data sets.
- Interpret and develop complex SQL queries for both ad-hoc and ETL uses.
- Provides direction and guidance to less experienced team members.
- Performs all other duties as assigned.
EEO STATEMENT
UT Health San Antonio is an equal employment opportunity and affirmative action employer. It is our policy to promote and ensure equal employment opportunity for all individuals without regard to race, color, religion, sex, gender identity, national origin, age, sexual orientation, disability, or veteran status.
INTRODUCTION
Under limited supervision, the Business Intelligence Analyst will champion and provide leadership, and support for the ongoing design, development, and advancement of diverse BI/Data Analytics pursuits focused on data warehousing, data mining, data structuring, data analytics, advanced visualization, and related technologies in furthering the missions of UT Health San Antonio. This role will operationalize business intelligence solutions and conduct advanced, timely, and relevant analytics in support of business partners/leaders to identify opportunities, and highlight strengths and opportunities to meet organizational strategies, objectives, and goals. Provides technical leadership to less experienced team members and will lead medium size projects through all phases of the implementation lifecycle.
ABOUT THE JOB
The University of Texas at San Antonio (UT San Antonio) is a nationally recognized, top-tier public research university that unites the power of higher education, biomedical discovery and healthcare within one visionary institution. As the third-largest research university in Texas and a Carnegie R1-designated institution, UT San Antonio is a model of access and excellence — advancing knowledge, social mobility and public health across South Texas and beyond. UT San Antonio serves approximately 42,000 students in 320 academic programs spanning science, engineering, medicine, health, liberal arts, AI, cybersecurity, business, education and more. With 17,000 faculty and staff, UT San Antonio has been recognized by Forbes as one of America’s Best Employers for Company Culture.
BENEFITS OVERVIEW
UT Health San Antonio offers an excellent benefits package for its employees. Employees who work at least 20 hours a week, with an appointment of at least 4.5 months, are eligible for benefits.
Medical
- UT SELECT Medical insurance is offered free for employees and administered by Blue Cross and Blue Shield of Texas. Family members can be added to the plan through payroll deduction. Employees and their dependents can also receive discounted copays and coinsurance when using UT Health Physicians, a network of 800 premier physicians including more than 100 specialists. Employees receive $50,000 of group term life insurance and $50,000 of basic accidental death and dismemberment insurance for free, with options to purchase additional employee and dependent coverage for both at group rates.
Dental
- Three dental insurance plan options are available for employees and their families through Delta Dental Insurance Company, two PPOs and one dental HMO plan. Both PPO plans allow employees to choose any licensed dentist.
Vision
- Fully insured Vision Care benefits are offered by Superior Vision Services. Two vision plan options that offer either standard or enhanced vision benefits.
Disability
- Employees can enroll in the Disability Insurance which provides income if a non-work related illness or injury prevents you from working.
FSAs
- Employees can enroll in flexible spending accounts (FSAs) to set aside money from earnings before taxes for qualifying dependent day care expenses or out-of-pocket health care expenses.
Retirement
- Employees are eligible for either the Teacher Retirement System (TRS) or the Optional Retirement Plan (ORP). TRS is a defined benefit retirement plan which UT Health matches employee contributions. ORP is for eligible faculty staff employees. Voluntary retirement programs are also available to invest before- or after-tax dollars with the choice of five quality retirement plan providers.
Time Off
A generous leave program offers multiple paid leave options:
- Front-loaded Paid Time Off: 128 to 208 hours (16 to 26 days) of Paid Time Off based on years of service, given at the start of each fiscal year. PTO may be prorated in year one based on date of hire.
- Extended Illness Bank: 8 hours (1 day) accrued per month which can be used for illness or injury after one day of Paid Time Off is taken.
- Paid Family Leave: Up to 240 hours (6 weeks) to care for a spouse, child, or parent after 6 months of consecutive employment.
- Holidays: 12 set paid holidays each year.
Discounts
- Employees enjoy a range of discounts on services, tickets, and gym membership.
BASIC QUALIFICATIONS
- Advanced understanding of Epic data models and software analytical tools.
- Proven ability to work independently.
- Advanced critical and analytical thinking proficiencies.
- Excellent verbal/written communication and follow-up skills.
- Demonstrated advanced troubleshooting competencies.
- Excellent organizational and project management skills.
- Strong understanding of Data Warehousing Concepts.
Education
Bachelors degree in a scientific, technical, healthcare informatics, or mathematics field.
Experience
- Five (5) years of experience in data analytics, data science, data warehousing, data lakes and marts, metadata management, and dimensional is required.
- Experience working with Epic Clarity and Caboodle data models, reporting tools, and clinical data is highly preferred.
- Experience supporting Epic Inpatient applications is preferred.
ADDITIONAL LICENSES/CERTIFICATIONS
- Certified in Tableau or Power BI or relevant visualization tools preferred.
- Proficiency with sophisticated analytics tools and programming languages (SAS, R, Python, Java, Spark, Hadoop, Alteryx, SQL); proficiency with data visualization tools (Tableau, QlikView, and others) is preferred.
- Certified in Epic Cogito Data Warehouse & Caboodle Data Model. Epic certification must be maintained per Epic Corporation standards is preferred.
This position may require the ability to maintain the security and integrity of UT San Antonio and its infrastructure per Texas EO-GA-48.
Responsibilities
- Define complex and detailed statistical analyses and modeling of clinical and operational data with outputs that are clear and relevant to stakeholders; such as opportunity analyses, clinical trending, operational KPIs, predictive modeling, program evaluation, customer reporting, product development, and ad-hoc analytics.
- Participate in the design and development of statistical analyses and reports that explore and present large amounts of data to discover underlying patterns and trends related to volumes, operational efficiency, cohort analysis, and clinical performance.
- Analyze large datasets to discover trends, patterns, and actionable insights.
- Apply research and evaluation standards, descriptive statistics, and data management principles to translate complex data into meaningful content.
- Present findings using verbal, written, and graphic communication techniques. Offer recommendations to support organizational performance improvement.
- Independently complete analysis, development, and enhancement of analytical and operational BI solutions to fulfill business needs.
- Apply understanding of dimensional data modeling techniques, data warehousing, design, and concepts to produce balanced scorecard design, and design of dashboards and KPI's (Key Performance Indicators).
- Stay informed about Business Intelligence industry trends, technologies and best practices that can be applied to achieve organizational objectives.
- Analyze large data sets of structured, semi-structured unstructured data to discover data insights and collaborate with business partners to deliver business value.
- Design interactive and/or advanced visualizations (Tableau) that enhance analytics storytelling to support business decisions.
- Navigate multiple business lines and draw holistic insights from large data sets.
- Interpret and develop complex SQL queries for both ad-hoc and ETL uses.
- Provides direction and guidance to less experienced team members.
- Performs all other duties as assigned.
EEO STATEMENT
UT Health San Antonio is an equal employment opportunity and affirmative action employer. It is our policy to promote and ensure equal employment opportunity for all individuals without regard to race, color, religion, sex, gender identity, national origin, age, sexual orientation, disability, or veteran status.
See all 6,057+ Business Intelligence Intern Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Business Intelligence Intern
Lead with your technical stack
Employers sponsoring BI interns want proof you can work in tools like SQL, Tableau, or Power BI from day one. List specific tools prominently on your resume rather than burying them under generic skills sections.
Target companies with active OPT hiring histories
Larger tech, finance, and healthcare companies file the most LCA disclosures for BI roles. Focusing your applications on employers with documented sponsorship patterns significantly improves your odds of securing a sponsored internship.
Align your degree to the role explicitly
Specialty occupation status requires your degree field to match the job. Make sure your resume and cover letter clearly connect your statistics, computer science, or data science degree to the BI internship's core responsibilities.
Apply early if you're on OPT
OPT authorization takes time to process, and many employers need work authorization in place before a start date. Starting your applications three to four months ahead protects you from timeline gaps that can cost you an offer.
Clarify CPT or OPT eligibility upfront
Some BI internships qualify for Curricular Practical Training if tied to your academic program. Confirming your school's CPT eligibility before applying can open doors with employers who prefer not to sponsor standalone work authorization.
Prepare to explain your visa timeline
Recruiters often don't know the difference between OPT, CPT, and H-1B sponsorship. A clear, confident two-sentence explanation of your current status and what you need from the employer removes hesitation and moves conversations forward.
Frequently Asked Questions
Can a Business Intelligence Intern role qualify as a specialty occupation for H-1B purposes?
Yes, BI intern roles generally qualify as specialty occupations when the position requires a bachelor's degree or higher in a specific field such as computer science, statistics, data science, or information systems. The job description matters significantly here. Roles that list analytical modeling, database querying, or data visualization as core duties, rather than general administrative tasks, consistently meet USCIS specialty occupation criteria.
Do most companies sponsor international students for BI internships?
Many mid-size and large employers in tech, finance, and healthcare hire international students for BI internships under OPT or CPT without treating it as formal sponsorship. Full H-1B visa sponsorship for intern-to-full-time conversion is more selective, typically offered by companies with established immigration programs. Browsing BI roles on Migrate Mate filters for employers who have active sponsorship histories, which saves significant research time.
What degree do I need to get sponsored for a Business Intelligence Intern role?
Most employers require a bachelor's degree in a quantitative or technical field. Computer science, data science, statistics, information systems, and mathematics are the most commonly accepted backgrounds. An MBA with a quantitative concentration or a master's in a related field also qualifies. A general business degree without a quantitative component is less likely to satisfy specialty occupation requirements if USCIS scrutinizes the petition.
What are my visa options as a Business Intelligence Intern?
If you're currently enrolled in a U.S. university, CPT is the most immediate option and allows you to work before graduating. Post-graduation, OPT gives you up to 12 months of work authorization, with a 24-month STEM extension available for qualifying degrees. After OPT, transitioning to H-1B is the most common path for full-time conversion. Some employers also use the J-1 visa intern category, though that requires a sponsor program separately.
How competitive is it to get a sponsored Business Intelligence Intern role compared to other tech internships?
BI intern roles face less competition for sponsorship than software engineering internships, largely because fewer international candidates target them. Demand for data literacy is high across industries, and employers in sectors like consulting, healthcare analytics, and financial services actively recruit for these positions. The specialty occupation threshold is also well-established for analytical roles, which makes the immigration paperwork more predictable for employers willing to sponsor.
What is the prevailing wage requirement for sponsored Business Intelligence Intern jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.