OPT BI Analyst Jobs
BI Analyst roles are strong OPT fits because most positions require a degree in information systems, computer science, statistics, or a related field, which satisfies DSO reporting requirements. Many employers in finance, tech, and consulting actively hire OPT candidates for these roles given the analytical skill demand.
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How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
Division Overview
The HITS Enterprise Information and Data Services team at Michigan Medicine is seeking a Business Intelligence Analyst to support enterprise analytics, improve data-driven decision-making, and advance organizational outcomes. Our team partners closely with clinical, operational, revenue cycle, and administrative stakeholders to design high value analytics solutions that improve patient care, operational efficiency, and strategic planning.
As a Business Intelligence Analyst Senior/Intermediate, you will contribute to the delivery of scalable, secure, and actionable analytics products. You will collaborate with Epic application teams, data management teams, operational leaders, and reporting groups across Michigan Medicine to ensure that analytics solutions meet real-world needs, support organizational strategy, and align with enterprise data governance standards.
Job Summary
The Business Intelligence Analyst designs, develops, and maintains advanced data and analytics solutions that support critical clinical, operational, revenue cycle, and strategic initiatives across Michigan Medicine. This role works with Epic data models and modern analytics platforms—including Cogito (Epic Analytics Tools), Tableau, Power BI, and emerging cloud technologies—to deliver prescriptive, diagnostic, predictive, and cognitive analytics.
The analyst serves as a trusted advisor to stakeholders, leading analytics engagements, translating complex business questions into actionable insights, and promoting strong relationships across clinical and business teams. Responsibilities include guiding self-service adoption, contributing to platform modernization efforts, supporting enterprise initiatives and driving continuous improvement through agile practices.
Responsibilities
- Design, develop, implement, and maintain analytics solutions using SQL, Epic Clarity/Caboodle data models, Cogito Tools, Tableau, Power BI, and cloud-based analytics platforms.
- Lead or contribute to analytics consulting engagements, translating complex business questions into actionable insights and measurable outcomes.
- Collaborate with clinical, operational, and revenue cycle partners to define requirements, prototype solutions, communicate findings, and provide expert advisory support.
- Support self-service analytics enablement, including development of governed datasets, semantic layers, and best-practice documentation.
- Participate in agile methodologies, sprint planning, and continuous improvement efforts to enhance team operations and delivery.
- Support strategic organizational initiatives such as One Epic, enterprise data governance, and workflow optimization projects.
- Ensure all analytics solutions follow established standards for security, data quality, and maintainability.
Required Qualifications
- Bachelor's degree or equivalent combination of education and experience.
- 2-3 Years of IT, Analytic, Clinical Informatics, or Other related experience.
- Demonstrated ability to work collaboratively across cross functional teams and influence outcomes through clear communication and relationship building.
Desired Qualifications
- Epic certifications (Clarity/Caboodle, Cogito, or relevant Epic modules).
- Experience with Tableau, Power BI, MS Fabric, or other enterprise analytics platforms.
- Proficiency in SQL or other analytics programming languages.
- Familiarity with healthcare operations, clinical workflows, and EMR data structures.
- Experience with agile methodologies, Lean principles, or process improvement frameworks.
- Experience contributing to large-scale analytics modernization or cloud transformation initiatives.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.
Work Locations
This position is hybrid, with on site presence in Ann Arbor, MI 48108. Employees are expected, except during illness or severe weather to attend quarterly team meetings onsite. One on site day per week is encouraged, especially during the first six months to support onboarding and team integration.
The position is 90% remote, though it may occasionally require work during non-business hours or weekends to support operational needs.
Additional Information
Benefits
We offer a benefits package that includes comprehensive training and career development opportunities, generous retirement savings plans, ample paid time off, and a wealth of family care support: https://careers.umich.edu/benefits
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.
Job Opening ID
277130
Working Title
Business Intelligence Analyst Intermediate
Job Title
BI Analyst Intermediate
Work Location
Michigan Medicine - Ann Arbor
Ann Arbor, MI
Modes of Work
Hybrid
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Exec Vp Med Affairs
Posting Begin/End Date
5/08/2026 - 5/22/2026
Career Interest
Administration
Information Technology
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Get Access To All JobsTips for Finding OPT Sponsorship as a BI Analyst
Target employers with active H-1B filing history
Companies that have filed H-1B visa petitions for past analysts are far more likely to sponsor your OPT and future visa. Look for mid-size to large firms in finance, healthcare, and tech, where BI headcount is high and turnover creates recurring hiring needs.
Frame your degree field clearly on your resume
BI Analyst roles require a specialty occupation degree, so your resume should make the connection between your field of study and the role explicit. List your degree field prominently and align your coursework or projects to data analysis and business intelligence competencies.
Get proficient in the tools employers actually use
Tableau, Power BI, and SQL appear in the vast majority of BI Analyst job postings. Demonstrable proficiency in at least two of these, backed by portfolio projects or certifications, significantly strengthens your candidacy during the OPT window.
Apply early to account for OPT processing timelines
USCIS OPT EAD processing can take several months. Start your job search 90 days before your program end date so your employment start date aligns with your authorization. Avoid accepting offers you cannot legally begin working under.
Address your OPT status proactively with hiring managers
Many BI hiring managers are unfamiliar with OPT authorization. A brief, confident explanation that you are authorized to work without employer sponsorship for up to three years removes the most common objection before it becomes a reason to pass.
Prioritize consulting firms and STEM-heavy industries
Management consulting, financial services, and technology companies hire BI Analysts at scale and have established immigration processes. These employers are significantly more prepared to convert OPT candidates to H-1B status at the end of the authorization period.
BI Analyst OPT: Frequently Asked Questions
Does a BI Analyst role qualify for STEM OPT extension?
It depends on your degree, not the job title. If your degree is in a STEM-designated field such as computer science, information systems, statistics, or mathematics, and your employer is E-Verify enrolled, you can apply for the 24-month STEM OPT extension. Most BI Analyst roles at larger employers satisfy the degree-to-job alignment requirement USCIS evaluates.
How do I find BI Analyst employers that sponsor OPT?
Migrate Mate filters job listings specifically for OPT-friendly employers, so you can browse BI Analyst roles without sorting through positions from companies that won't work with international candidates. The Department of Labor's LCA disclosure data is also a reliable way to identify which companies have historically sponsored analysts in this function.
Can I start working as a BI Analyst before my EAD card arrives?
No. You must have a valid EAD card in hand before your first day of work. Your offer letter can be signed and your start date can be scheduled in advance, but you cannot legally begin employment until USCIS has issued and you have received the physical EAD. Build this lead time into your job search timeline.
What happens to my OPT status if a BI Analyst contract role ends between projects?
OPT allows up to 90 days of cumulative unemployment, or 150 days if you receive a STEM extension. Short gaps between contracts are common in consulting-style BI roles, but each gap counts against your total. Report any employment changes to your DSO promptly, as unreported gaps can jeopardize your status and any future visa application.
Does freelance or contract BI Analyst work count toward OPT employment?
Yes, self-employment and contract work qualify as valid OPT employment as long as the work is directly related to your field of study. You must be able to document the engagement, including the scope of work and its connection to your degree. Consulting arrangements through a staffing firm are generally straightforward to document compared to independent freelance arrangements.