Data Science Analyst Visa Sponsorship Jobs in Minnesota
Minnesota's data science analyst job market is anchored by major employers like UnitedHealth Group, Target, Best Buy, and 3M, with hiring concentrated in the Twin Cities metro. Financial services, retail analytics, and healthcare data roles drive consistent visa sponsorship activity, making the state a strong destination for international data professionals.
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Get Access To All JobsINTRODUCTION
We are seeking multiple Senior AI Business Analysts to join our growing team and help drive the responsible adoption of Artificial Intelligence (AI) across the organization. In this highly collaborative role, you will serve as a strategic liaison between business stakeholders, IT teams, AI engineering, data science, and governance functions to identify, evaluate, and support high-impact AI initiatives.
As an AI Business Analyst, you will help translate complex business challenges into AI-ready opportunities, ensuring use cases are well-defined, aligned with organizational goals, and supported through the full AI lifecycle. You will gather and document requirements, assess data readiness and risk considerations, facilitate cross-functional decision-making, and help establish governance and implementation standards that enable successful AI adoption.
This role is ideal for experienced business analysts who combine strong analytical and requirements management skills with a passion for emerging technologies, data-driven solutions, and responsible AI practices.
The AI Business Analyst serves as a liaison between business stakeholders, IT, and AI governance functions to enable responsible, value-driven use of Artificial Intelligence (AI) across the organization. This role supports business-critical and complex AI initiatives by analyzing business needs, clarifying requirements, assessing risk and feasibility, and coordinating lifecycle management processes.
The AI Business Analyst is accountable for ensuring AI use cases are clearly defined, appropriately reviewed, and supported with documentation that enables informed decision-making and establishes clear expectations for implementation.
Responsibilities
- Serve as the primary AI lifecycle management and analysis partner, including evaluating suitability for AI, data readiness, risk, and downstream operational impact.
- Partner with data science, AI engineering, architecture, and governance teams to translate business problems into AI-ready problem statements, success metrics, and evaluation criteria.
- Support responsible AI practices by ensuring use cases align with organizational policies related to privacy, security, regulatory compliance, and ethical AI standards.
- Facilitate cross-functional discussions to align on and document AI solution intent, value realization, monitoring approach, and post-deployment ownership.
- Contribute to the development and refinement of AI lifecycle management processes, templates, and standards to enable consistent evaluation and deployment of AI initiatives.
- Gather, analyze, document and manage business and user requirements (both functional and non-functional) to effectively recommend technology solutions that best address the requirements. Identify potential solutions for the business and provide input to issues or risks (through solid knowledge of the business and user requirements). Identify project interdependencies and communicate requirement/scope issues and participate in driving them to resolution for inclusion in the functional specifications.
- Translate business and user requirements into detailed system requirements for the IT organization and manage all changes to the source documents. Ensure appropriate bi-directional tracing of project modifications back to business and user requirements. Complete project work objects and deliverables Fairview standards. Facilitate walk-through of project deliverables. Assist with the development of the testing strategy - plan thorough requirements testing.
- Demonstrate expert level knowledge in all systems, processes and data relating to the assigned business or project. Leverage domain expertise and analyst practice expertise to provide the most effective solutions to the business partners in the most efficient means possible. Select appropriate analysis techniques and tools (process modeling, use cases, etc.) for each project. Educate business partners on systems capabilities and the feasibility of developing specific solutions.
- Leverage technical knowledge & business acumen to manage effective working relationships with technology teams and business partners at management and end user levels. Work effectively in a team environment to ensure that solution delivery is on time, within cost estimates and meets business needs. Negotiate technical and non-technical solutions that both satisfy the business users and conform to the technical architecture. Prepare estimates of Business System Analyst work efforts for assigned projects.
- Complete all support documentation on assigned projects, including creating and updating all user and technical procedures/manuals, operational support documentation and archival of all related project documentation. Define and monitor all implementation tasks such as the production check-out process, including review of reports, data files and online screens to ensure technical solutions perform according to the specifications and meet defined business requirements.
- Actively champion and contribute to the continuous improvement of business systems analysis best practices, using innovative ideas to increase effectiveness of the overall analyst organization. Provide subject matter expertise in areas including strategy/approach, requirements gathering, process modeling, use cases and other areas of expertise based on established business analysis tools and techniques. Proactively mentor others in the business analyst practitioner community.
- Establish and maintain effective working relationships, partnering closely with Business Relationship Managers, Enterprise Architecture and Process Improvement staff within IT and the business. Educate business partners on systems capabilities and the feasibility of developing specific solutions. Work effectively in a team environment to ensure that solution delivery is on time, within cost estimates and meets business needs.
BASIC QUALIFICATIONS
- B.S./B.A. with 3 years of related work experience or A.A./A.S. with 3 years of related work experience
- 5 years of demonstrated experience in business and functional requirements elicitation, translation and documentation.
- Expert level analysis skills including ability to identify patterns, potential issues and then translate those into functional and test requirements.
- Expert level understanding of business functional areas and management issues as well as the IT organizations systems and capabilities.
- Knowledge of and ability to effectively use the appropriate modeling methodologies and toolsets, requirements management methodologies and toolsets, requirements visualization methods and toolsets, and artifact versioning tools.
- Exceptional written and verbal communication skills.
- Demonstrated experience supporting AI, advanced analytics, automation, or data-driven solutions in a business analyst or similar role.
- Ability to translate ambiguous business problems into structured AI use cases, including defining objectives, constraints, assumptions, and measurable outcomes.
- Working knowledge of AI and machine learning concepts (e.g., model types, training vs. inference, prompt-based systems, confidence/accuracy tradeoffs) sufficient to facilitate effective collaboration with technical teams.
- Experience eliciting and documenting data and project-related requirements.
- Strong facilitation and communication skills to bridge business, technical, and governance stakeholders in emerging or rapidly evolving solution spaces.
- Comfort operating in areas of uncertainty, where requirements evolve as AI capabilities and business understanding mature.
PREFERRED QUALIFICATIONS
- B.S./B.A. in a technical/healthcare field
- Experience within the Healthcare Industry
- Experience working within a defined development life cycle methodology
- Experience with writing use cases and test cases
- Experience with business process modeling.
- Experience supporting healthcare applications.
- CBAP
- Experience working with generative AI solutions, conversational AI, decision support tools, or intelligent automation platforms.
- Familiarity with responsible AI frameworks, model risk management concepts, or healthcare-adjacent AI regulatory considerations.
- Experience supporting AI pilots, proofs of concept, or phased deployments, including defining success criteria, building project requirements and project plans, and lessons learned.
- Exposure to data science workflows, MLOps concepts, or AI product lifecycle management.
- Experience contributing to enterprise AI governance, intake, or enablement programs.
- Ability to coach or guide business partners on when AI is appropriate and when traditional solutions may be more effective.
COMPENSATION
- $94,515.20 - $133,432.00 Annual
INTRODUCTION
We are seeking multiple Senior AI Business Analysts to join our growing team and help drive the responsible adoption of Artificial Intelligence (AI) across the organization. In this highly collaborative role, you will serve as a strategic liaison between business stakeholders, IT teams, AI engineering, data science, and governance functions to identify, evaluate, and support high-impact AI initiatives.
As an AI Business Analyst, you will help translate complex business challenges into AI-ready opportunities, ensuring use cases are well-defined, aligned with organizational goals, and supported through the full AI lifecycle. You will gather and document requirements, assess data readiness and risk considerations, facilitate cross-functional decision-making, and help establish governance and implementation standards that enable successful AI adoption.
This role is ideal for experienced business analysts who combine strong analytical and requirements management skills with a passion for emerging technologies, data-driven solutions, and responsible AI practices.
The AI Business Analyst serves as a liaison between business stakeholders, IT, and AI governance functions to enable responsible, value-driven use of Artificial Intelligence (AI) across the organization. This role supports business-critical and complex AI initiatives by analyzing business needs, clarifying requirements, assessing risk and feasibility, and coordinating lifecycle management processes.
The AI Business Analyst is accountable for ensuring AI use cases are clearly defined, appropriately reviewed, and supported with documentation that enables informed decision-making and establishes clear expectations for implementation.
Responsibilities
- Serve as the primary AI lifecycle management and analysis partner, including evaluating suitability for AI, data readiness, risk, and downstream operational impact.
- Partner with data science, AI engineering, architecture, and governance teams to translate business problems into AI-ready problem statements, success metrics, and evaluation criteria.
- Support responsible AI practices by ensuring use cases align with organizational policies related to privacy, security, regulatory compliance, and ethical AI standards.
- Facilitate cross-functional discussions to align on and document AI solution intent, value realization, monitoring approach, and post-deployment ownership.
- Contribute to the development and refinement of AI lifecycle management processes, templates, and standards to enable consistent evaluation and deployment of AI initiatives.
- Gather, analyze, document and manage business and user requirements (both functional and non-functional) to effectively recommend technology solutions that best address the requirements. Identify potential solutions for the business and provide input to issues or risks (through solid knowledge of the business and user requirements). Identify project interdependencies and communicate requirement/scope issues and participate in driving them to resolution for inclusion in the functional specifications.
- Translate business and user requirements into detailed system requirements for the IT organization and manage all changes to the source documents. Ensure appropriate bi-directional tracing of project modifications back to business and user requirements. Complete project work objects and deliverables Fairview standards. Facilitate walk-through of project deliverables. Assist with the development of the testing strategy - plan thorough requirements testing.
- Demonstrate expert level knowledge in all systems, processes and data relating to the assigned business or project. Leverage domain expertise and analyst practice expertise to provide the most effective solutions to the business partners in the most efficient means possible. Select appropriate analysis techniques and tools (process modeling, use cases, etc.) for each project. Educate business partners on systems capabilities and the feasibility of developing specific solutions.
- Leverage technical knowledge & business acumen to manage effective working relationships with technology teams and business partners at management and end user levels. Work effectively in a team environment to ensure that solution delivery is on time, within cost estimates and meets business needs. Negotiate technical and non-technical solutions that both satisfy the business users and conform to the technical architecture. Prepare estimates of Business System Analyst work efforts for assigned projects.
- Complete all support documentation on assigned projects, including creating and updating all user and technical procedures/manuals, operational support documentation and archival of all related project documentation. Define and monitor all implementation tasks such as the production check-out process, including review of reports, data files and online screens to ensure technical solutions perform according to the specifications and meet defined business requirements.
- Actively champion and contribute to the continuous improvement of business systems analysis best practices, using innovative ideas to increase effectiveness of the overall analyst organization. Provide subject matter expertise in areas including strategy/approach, requirements gathering, process modeling, use cases and other areas of expertise based on established business analysis tools and techniques. Proactively mentor others in the business analyst practitioner community.
- Establish and maintain effective working relationships, partnering closely with Business Relationship Managers, Enterprise Architecture and Process Improvement staff within IT and the business. Educate business partners on systems capabilities and the feasibility of developing specific solutions. Work effectively in a team environment to ensure that solution delivery is on time, within cost estimates and meets business needs.
BASIC QUALIFICATIONS
- B.S./B.A. with 3 years of related work experience or A.A./A.S. with 3 years of related work experience
- 5 years of demonstrated experience in business and functional requirements elicitation, translation and documentation.
- Expert level analysis skills including ability to identify patterns, potential issues and then translate those into functional and test requirements.
- Expert level understanding of business functional areas and management issues as well as the IT organizations systems and capabilities.
- Knowledge of and ability to effectively use the appropriate modeling methodologies and toolsets, requirements management methodologies and toolsets, requirements visualization methods and toolsets, and artifact versioning tools.
- Exceptional written and verbal communication skills.
- Demonstrated experience supporting AI, advanced analytics, automation, or data-driven solutions in a business analyst or similar role.
- Ability to translate ambiguous business problems into structured AI use cases, including defining objectives, constraints, assumptions, and measurable outcomes.
- Working knowledge of AI and machine learning concepts (e.g., model types, training vs. inference, prompt-based systems, confidence/accuracy tradeoffs) sufficient to facilitate effective collaboration with technical teams.
- Experience eliciting and documenting data and project-related requirements.
- Strong facilitation and communication skills to bridge business, technical, and governance stakeholders in emerging or rapidly evolving solution spaces.
- Comfort operating in areas of uncertainty, where requirements evolve as AI capabilities and business understanding mature.
PREFERRED QUALIFICATIONS
- B.S./B.A. in a technical/healthcare field
- Experience within the Healthcare Industry
- Experience working within a defined development life cycle methodology
- Experience with writing use cases and test cases
- Experience with business process modeling.
- Experience supporting healthcare applications.
- CBAP
- Experience working with generative AI solutions, conversational AI, decision support tools, or intelligent automation platforms.
- Familiarity with responsible AI frameworks, model risk management concepts, or healthcare-adjacent AI regulatory considerations.
- Experience supporting AI pilots, proofs of concept, or phased deployments, including defining success criteria, building project requirements and project plans, and lessons learned.
- Exposure to data science workflows, MLOps concepts, or AI product lifecycle management.
- Experience contributing to enterprise AI governance, intake, or enablement programs.
- Ability to coach or guide business partners on when AI is appropriate and when traditional solutions may be more effective.
COMPENSATION
- $94,515.20 - $133,432.00 Annual
Data Science Analyst Job Roles in Minnesota
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Search Data Science Analyst Jobs in MinnesotaData Science Analyst Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for data science analysts in Minnesota?
The most active visa sponsors for data science analysts in Minnesota include UnitedHealth Group, Target, Best Buy, 3M, U.S. Bancorp, and Optum. These organizations regularly file H-1B visa Labor Condition Applications for data analyst and data science roles. Large healthcare and retail technology firms in the Twin Cities metro account for the majority of sponsorship activity in this field.
Which visa types are most common for data science analyst roles in Minnesota?
The H-1B visa is the most common pathway for data science analysts in Minnesota, as the role typically requires a bachelor's degree or higher in a field like statistics, computer science, or mathematics, qualifying it as a specialty occupation. Candidates already in the U.S. on F-1 OPT or STEM OPT extensions frequently transition to H-1B sponsorship through Minnesota employers in healthcare and retail tech.
Which cities in Minnesota have the most data science analyst sponsorship jobs?
Minneapolis and St. Paul together form the dominant hub for data science analyst sponsorship jobs in Minnesota. Minnetonka and Eden Prairie also see activity, largely due to UnitedHealth Group and Optum campuses located there. Rochester has a smaller but growing presence driven by Mayo Clinic's data and analytics teams. The vast majority of sponsored roles are concentrated within the Twin Cities metropolitan area.
How to find data science analyst visa sponsorship jobs in Minnesota?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship, including data science analyst roles in Minnesota. You can filter by state and job category to surface employers actively sponsoring in the Twin Cities and broader Minnesota market. This saves significant time compared to manually screening generic job listings for sponsorship eligibility.
Are there state-specific factors that affect visa sponsorship for data science analysts in Minnesota?
Minnesota's concentration of large enterprise employers in healthcare, financial services, and retail means data science analyst roles here often fall under well-established sponsorship programs with dedicated HR and immigration teams. The University of Minnesota and other state institutions also create a steady pipeline of international graduates who pursue local sponsorship. Employers filing H-1B petitions must meet Department of Labor prevailing wage requirements specific to the Minneapolis-St. Paul metropolitan statistical area.
What is the prevailing wage for sponsored data science analyst jobs in Minnesota?
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.