Data Contributor Visa Sponsorship Jobs in West Virginia
Data contributor visa sponsorship jobs in West Virginia are concentrated in industries like healthcare, energy, and higher education. Employers such as West Virginia University, Leidos, and Appalachian Power operate across Morgantown, Charleston, and Huntington, where data management and content annotation roles increasingly require international talent with specialized technical backgrounds.
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INTRODUCTION
Marshall University is seeking a skilled Business Intelligence and Data Analyst to join our Institutional Research team. This role is pivotal in supporting the university’s strategic decision-making processes by providing actionable insights from data. The ideal candidate will have a strong foundation in data analysis, business intelligence tools, and a passion for transforming data into meaningful narratives that aid in institutional planning and policy formulation. The successful candidate will work collaboratively with the Institutional Research and Planning team, as well as other university departments, leveraging analytical and technical skills to drive data-driven strategies.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
Data Architecture and Advanced Analytics
- Design and maintain scalable data models and reporting structures to support enterprise analytics.
- Develop, validate, and refine predictive and forecasting models related to enrollment, retention, student success, and financial planning.
- Perform advanced statistical analyses to evaluate program effectiveness, student outcomes, and institutional performance metrics.
- Optimize SQL queries for performance and reliability within relational database environments (Oracle).
Business Intelligence Development
- Develop enterprise dashboards, semantic models, and analytical reporting solutions in Power BI (or comparable BI platforms).
- Develop and maintain DAX measures, optimized data models, and star schema designs to support scalable reporting.
- Automate recurring reporting processes and enhance reproducibility of analytics workflows.
Enterprise-Level Data Expertise
- Extract, transform, and analyze data from enterprise-level systems (e.g., Banner or comparable systems).
- Support preparation and validation of federal and state reporting (e.g., IPEDS and other compliance reporting).
- Apply understanding of complex enterprise data systems and relational databases (e.g., academic, financial, and HR data structures in analysis and reporting).
Data Governance and Quality Assurance
- Contribute to institutional data governance initiatives, including data definitions, documentation, and standards development.
- Implement and monitor quality control processes to ensure data accuracy, integrity, and consistency.
- Enhance data infrastructure and reporting capabilities.
BASIC QUALIFICATIONS
Qualifications
Must be able to perform all essential job duties as outlined in the job description.
Required Qualifications
Education
- Bachelor’s degree in a quantitative, analytical, or technical field required (e.g., data science, statistics, computer science, information systems, mathematics, economics, or similar discipline)
Experience
- 2+ years of progressive experience in business intelligence, analytics, or institutional research
- Experience working with complex enterprise data systems and relational databases
- Demonstrated proficiency in SQL for querying, transforming, and analyzing large relational datasets
- Experience developing dashboards, reports, or analytical visualizations using a business intelligence platform
- Experience working with relational database environments and structured data models
- Ability to design, validate, and interpret analytical or predictive models to support data-driven decision making
- Experience working with complex enterprise data systems and integrating data from multiple sources
PREFERRED QUALIFICATIONS
Education
- Master’s degree in a quantitative field
Experience
- Experience working with higher education administrative systems (e.g., Banner or similar ERP systems)
- Experience supporting federal or state reporting (e.g., IPEDS)
- Experience working with Oracle or other enterprise relational database systems
- Experience developing dashboards, semantic models, and measures in Power BI
- Experience working with dimensional or star schema data models in a data warehouse environment
- Experience using statistical or programming tools such as Python or R for data analysis or modeling
- Experience building predictive, forecasting, or statistical models
COMPENSATION
- Salary Range: $60,441 - $78,574 commensurate with experience, education, and internal equity.
- Salary Type: Salary
- Time Type: Full-Time
- Work Location: MU - Marshall University
POSTING DETAIL INFORMATION
- Posting Number: MU1232E
- Open Date: 04/03/2026
- Close Date: Open Until Filled: Yes
- Special Instructions Summary:

INTRODUCTION
Marshall University is seeking a skilled Business Intelligence and Data Analyst to join our Institutional Research team. This role is pivotal in supporting the university’s strategic decision-making processes by providing actionable insights from data. The ideal candidate will have a strong foundation in data analysis, business intelligence tools, and a passion for transforming data into meaningful narratives that aid in institutional planning and policy formulation. The successful candidate will work collaboratively with the Institutional Research and Planning team, as well as other university departments, leveraging analytical and technical skills to drive data-driven strategies.
ROLE AND RESPONSIBILITIES
Key Responsibilities:
Data Architecture and Advanced Analytics
- Design and maintain scalable data models and reporting structures to support enterprise analytics.
- Develop, validate, and refine predictive and forecasting models related to enrollment, retention, student success, and financial planning.
- Perform advanced statistical analyses to evaluate program effectiveness, student outcomes, and institutional performance metrics.
- Optimize SQL queries for performance and reliability within relational database environments (Oracle).
Business Intelligence Development
- Develop enterprise dashboards, semantic models, and analytical reporting solutions in Power BI (or comparable BI platforms).
- Develop and maintain DAX measures, optimized data models, and star schema designs to support scalable reporting.
- Automate recurring reporting processes and enhance reproducibility of analytics workflows.
Enterprise-Level Data Expertise
- Extract, transform, and analyze data from enterprise-level systems (e.g., Banner or comparable systems).
- Support preparation and validation of federal and state reporting (e.g., IPEDS and other compliance reporting).
- Apply understanding of complex enterprise data systems and relational databases (e.g., academic, financial, and HR data structures in analysis and reporting).
Data Governance and Quality Assurance
- Contribute to institutional data governance initiatives, including data definitions, documentation, and standards development.
- Implement and monitor quality control processes to ensure data accuracy, integrity, and consistency.
- Enhance data infrastructure and reporting capabilities.
BASIC QUALIFICATIONS
Qualifications
Must be able to perform all essential job duties as outlined in the job description.
Required Qualifications
Education
- Bachelor’s degree in a quantitative, analytical, or technical field required (e.g., data science, statistics, computer science, information systems, mathematics, economics, or similar discipline)
Experience
- 2+ years of progressive experience in business intelligence, analytics, or institutional research
- Experience working with complex enterprise data systems and relational databases
- Demonstrated proficiency in SQL for querying, transforming, and analyzing large relational datasets
- Experience developing dashboards, reports, or analytical visualizations using a business intelligence platform
- Experience working with relational database environments and structured data models
- Ability to design, validate, and interpret analytical or predictive models to support data-driven decision making
- Experience working with complex enterprise data systems and integrating data from multiple sources
PREFERRED QUALIFICATIONS
Education
- Master’s degree in a quantitative field
Experience
- Experience working with higher education administrative systems (e.g., Banner or similar ERP systems)
- Experience supporting federal or state reporting (e.g., IPEDS)
- Experience working with Oracle or other enterprise relational database systems
- Experience developing dashboards, semantic models, and measures in Power BI
- Experience working with dimensional or star schema data models in a data warehouse environment
- Experience using statistical or programming tools such as Python or R for data analysis or modeling
- Experience building predictive, forecasting, or statistical models
COMPENSATION
- Salary Range: $60,441 - $78,574 commensurate with experience, education, and internal equity.
- Salary Type: Salary
- Time Type: Full-Time
- Work Location: MU - Marshall University
POSTING DETAIL INFORMATION
- Posting Number: MU1232E
- Open Date: 04/03/2026
- Close Date: Open Until Filled: Yes
- Special Instructions Summary:
Data Contributor Job Roles in West Virginia
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Search Data Contributor Jobs in West VirginiaData Contributor Jobs in West Virginia: Frequently Asked Questions
Which companies sponsor visas for data contributors in West Virginia?
West Virginia University and WVU Medicine are among the most active sponsors for data-related roles in the state, given their research and clinical data needs. Energy companies like Appalachian Power and government contractors such as Leidos also hire data contributors and have documented H-1B sponsorship histories. Smaller healthcare systems and federal contractors operating across Charleston and Morgantown round out the employer pool.
Which visa types are most common for data contributor roles in West Virginia?
The H-1B is the most common visa for data contributor roles in West Virginia, provided the position qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as computer science, information systems, or a related discipline. Candidates from Australia may qualify for the E-3, while Canadian and Mexican nationals may be eligible under the TN category, which covers certain computer and data-related occupations.
Which cities in West Virginia have the most data contributor sponsorship jobs?
Morgantown leads the state for data contributor sponsorship opportunities, driven by West Virginia University's research operations and its associated health system. Charleston, as the state capital, attracts government contractors and healthcare employers with ongoing data needs. Huntington also sees activity through Marshall University and regional healthcare networks. These three cities account for the majority of employer-sponsored data roles in West Virginia.
How to find data contributor visa sponsorship jobs in West Virginia?
Migrate Mate is a dedicated job board for international candidates seeking visa sponsorship in the United States, and you can filter directly for data contributor roles in West Virginia. This lets you focus only on employers actively open to sponsorship rather than sorting through general job listings. Migrate Mate surfaces roles from healthcare, energy, and research sectors, which are the primary hiring segments for data contributors in this state.
Are there any state-specific considerations for data contributors seeking sponsorship in West Virginia?
West Virginia's economy is smaller and more regionally concentrated than major coastal states, so the volume of sponsoring employers is more limited. University and healthcare pipelines, particularly through West Virginia University, provide the most consistent pathway for international data contributors. Prevailing wage requirements still apply under Department of Labor rules, so employers must confirm compensation meets regional wage levels for the specific role and location before filing an LCA.
What is the prevailing wage for sponsored data contributor jobs in West Virginia?
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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