Data Analyst Visa Sponsorship Jobs in Michigan
Michigan's data analyst job market spans automotive giants like Ford, General Motors, and Stellantis in the Detroit metro, healthcare systems like Henry Ford Health and Spectrum Health in Grand Rapids, and a growing tech sector anchored by Ann Arbor. Employers across these industries regularly sponsor H-1B visas for qualified data analysts.
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Overview:
Why AAA Life
AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them – and their families – when we’re needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.
How You’ll Work
- Work Solution: Hybrid
- Relocation Eligibility: Available
Responsibilities:
Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive marketing strategies and decision-making.
Data Strategy & Analytics
- Collects, cleans, and analyzes data across compliance functions (e.g., complaints, AML, advertising review, agent conduct, privacy, licensing).
- Builds and maintains data dashboards, metrics, and reporting tools to monitor compliance performance and detect emerging risks.
- Partners with IT and business teams to automate data extraction and reporting workflows.
Compliance Risk Detection & Prevention
- Develops analytics models and trend analyses to identify patterns of potential misconduct or non-compliance.
- Supports root-cause analysis of compliance events and partners with business areas to implement corrective actions.
- Designs and monitors Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) for compliance oversight.
Reporting & Visualization
- Prepares executive-level dashboards and board reports summarizing compliance trends and insights.
- Presents findings in clear, compelling narratives that support strategic decision-making.
- Ensures data accuracy, integrity, and alignment with corporate governance standards.
Cross-Functional Collaboration
- Collaborates with Legal, IT, Risk, and business partners to enhance the use of analytics in compliance monitoring.
- Serves as a data liaison for regulatory exams, audits, and internal reviews.
- Provides consultative analytics support for corporate initiatives and regulatory filings.
Innovation & Continuous Improvement
- Identifies opportunities to enhance efficiency through RegTech, automation, and predictive analytics.
- Benchmarks compliance data practices against industry standards and best practices.
- Supports the development of analytical capabilities across the Compliance team.
QUALIFICATIONS
Basic Required Qualifications
- Demonstrated experience using data visualization tools (e.g., Power BI, Tableau) and databases (e.g., SQL, Access)
- Knowledge of insurance or financial compliance, regulatory reporting, or data governance preferred
- LOMA or AIRC designations desirable
Preferred Qualifications
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, or related field required; Master’s preferred
- 5+ years of experience in data analytics, compliance, internal audit, or risk management within financial services or insurance
Position Success Criteria
- Analytical & Technical Expertise: Demonstrates proficiency with SQL, Power BI, Tableau, Excel, or Python/R. Translates complex datasets into meaningful insights.
- Regulatory Acumen: Understands the life insurance regulatory environment, data privacy principles, and compliance operations.
- Achieves Results / Bias for Action: Delivers high-quality, data-driven outputs within tight timelines. Demonstrates urgency and precision.
- Communication & Influence: Simplifies complex data for diverse audiences. Uses data storytelling to influence decisions.
- Collaboration: Works cross-functionally and effectively balances business and compliance priorities.
- Innovation: Pursues continuous improvement and emerging data tools that enhance compliance capabilities.
While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.
This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.
We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
LI-Hybrid

Overview:
Why AAA Life
AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them – and their families – when we’re needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.
How You’ll Work
- Work Solution: Hybrid
- Relocation Eligibility: Available
Responsibilities:
Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive marketing strategies and decision-making.
Data Strategy & Analytics
- Collects, cleans, and analyzes data across compliance functions (e.g., complaints, AML, advertising review, agent conduct, privacy, licensing).
- Builds and maintains data dashboards, metrics, and reporting tools to monitor compliance performance and detect emerging risks.
- Partners with IT and business teams to automate data extraction and reporting workflows.
Compliance Risk Detection & Prevention
- Develops analytics models and trend analyses to identify patterns of potential misconduct or non-compliance.
- Supports root-cause analysis of compliance events and partners with business areas to implement corrective actions.
- Designs and monitors Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) for compliance oversight.
Reporting & Visualization
- Prepares executive-level dashboards and board reports summarizing compliance trends and insights.
- Presents findings in clear, compelling narratives that support strategic decision-making.
- Ensures data accuracy, integrity, and alignment with corporate governance standards.
Cross-Functional Collaboration
- Collaborates with Legal, IT, Risk, and business partners to enhance the use of analytics in compliance monitoring.
- Serves as a data liaison for regulatory exams, audits, and internal reviews.
- Provides consultative analytics support for corporate initiatives and regulatory filings.
Innovation & Continuous Improvement
- Identifies opportunities to enhance efficiency through RegTech, automation, and predictive analytics.
- Benchmarks compliance data practices against industry standards and best practices.
- Supports the development of analytical capabilities across the Compliance team.
QUALIFICATIONS
Basic Required Qualifications
- Demonstrated experience using data visualization tools (e.g., Power BI, Tableau) and databases (e.g., SQL, Access)
- Knowledge of insurance or financial compliance, regulatory reporting, or data governance preferred
- LOMA or AIRC designations desirable
Preferred Qualifications
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, or related field required; Master’s preferred
- 5+ years of experience in data analytics, compliance, internal audit, or risk management within financial services or insurance
Position Success Criteria
- Analytical & Technical Expertise: Demonstrates proficiency with SQL, Power BI, Tableau, Excel, or Python/R. Translates complex datasets into meaningful insights.
- Regulatory Acumen: Understands the life insurance regulatory environment, data privacy principles, and compliance operations.
- Achieves Results / Bias for Action: Delivers high-quality, data-driven outputs within tight timelines. Demonstrates urgency and precision.
- Communication & Influence: Simplifies complex data for diverse audiences. Uses data storytelling to influence decisions.
- Collaboration: Works cross-functionally and effectively balances business and compliance priorities.
- Innovation: Pursues continuous improvement and emerging data tools that enhance compliance capabilities.
While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.
This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.
We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
LI-Hybrid
Data Analyst Job Roles in Michigan
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Search Data Analyst Jobs in MichiganData Analyst Jobs in Michigan: Frequently Asked Questions
Which companies in Michigan sponsor visas for data analysts?
Ford Motor Company, General Motors, and Stellantis are among Michigan's most consistent H-1B sponsors for data analyst roles, drawing on large analytics teams in Dearborn and Detroit. Health systems including Henry Ford Health and Beaumont Health also file sponsorships for data-focused positions. University of Michigan and Michigan State University sponsor analysts in research and institutional data roles.
Which visa types are most common for data analyst roles in Michigan?
The H-1B is the most common visa for data analysts in Michigan, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field like statistics, computer science, or mathematics. Some analysts enter on OPT or STEM OPT through Michigan universities before their employer files an H-1B petition. The O-1A is an option for analysts with exceptional credentials, though it requires substantial documented achievement.
Which cities in Michigan have the most data analyst sponsorship jobs?
The Detroit metro area, including Dearborn, Troy, and Auburn Hills, concentrates the largest share of data analyst sponsorship jobs due to automotive and manufacturing headquarters. Ann Arbor follows closely, driven by University of Michigan, healthcare organizations, and a cluster of technology and analytics firms. Grand Rapids is an emerging secondary market, with healthcare and manufacturing employers sponsoring analysts with increasing frequency.
How to find data analyst visa sponsorship jobs in Michigan?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify Michigan employers actively hiring data analysts who require work authorization. Rather than sorting through postings that don't mention sponsorship, you can browse roles in automotive, healthcare, and technology sectors across Detroit, Ann Arbor, and Grand Rapids knowing sponsorship is part of the listing criteria.
Are there any Michigan-specific considerations for data analysts seeking visa sponsorship?
Michigan's strong automotive and manufacturing sectors mean many data analyst roles focus on supply chain analytics, quality data, and production modeling, which shapes the technical skills employers prioritize. The University of Michigan and Michigan State University produce large cohorts of international graduate students in data-related fields, creating a competitive applicant pool. Employers in Michigan must meet Department of Labor prevailing wage requirements for the Detroit or Ann Arbor metropolitan areas depending on work location, which affects how roles are classified and posted.
What is the prevailing wage for sponsored data analyst jobs in Michigan?
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.
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