Institutional Research Data & AI Solutions Sr Analyst
Listed on 2026-08-20
-
IT/Tech
Data Analyst, Data Scientist
Institutional Research Data & AI Solutions Sr Analyst
Marshall University is a public comprehensive university with a rich history as one of the oldest institutions of higher learning in West Virginia. Founded in 1837 and named after Chief Justice John Marshall, definer of the Constitution, Marshall University advances the public good through innovative, accredited educational programs. We are located in downtown Huntington, West Virginia, with additional locations in South Charleston, Point Pleasant, Teays Valley and Beckley.
Marshall University's mission, inspired by our Vision and Creed, includes:
- Offer a wide range of high quality, affordable, and accessible undergraduate, graduate, and professional education that prepares students to think, learn, work, and live in an evolving global society.
- Create opportunities and experiences to foster understanding and appreciation of the rich diversity of thought and culture.
- Maintain a dynamic intellectual, artistic, and cultural life by promoting and supporting research and creative activities by undergraduates, graduates, and faculty.
- Contribute to the quality of life of the community, region, and beyond through applied research, economic development, health care, and cultural enrichment.
- Cultivate the development of an inclusive, just, and equitable community.
Position Information
Position Title
- Institutional Research Data & AI Solutions Sr Analyst
Department
- Institutional Research & Planning - MU2040
Job Description
- Marshall University is seeking an Institutional Research Data & AI Solutions Sr Analyst to join the Office of Institutional Research and Planning. Reporting through Institutional Research and Planning, this position combines traditional institutional research, data analysis, and decision support with the design and development of artificial intelligence solutions that improve access to information, and institutional decision-making to support university operations
The successful candidate will analyze institutional data, support federal, state, and university reporting requirements, and conduct studies related to enrollment, retention, student success, academic programs, personnel, and institutional effectiveness. The position will also develop responsible AI-enabled applications, agents, automations, and analytical tools that help university employees locate information, interpret and analyze data and make informed decisions.
Working collaboratively with Institutional Research and Planning, Information Technology, academic and administrative units, and university data stewards, the position will translate institutional data into practical analytical and AI solutions. The employee will help ensure that AI solutions are accurate, secure, appropriately governed, technically sustainable, and aligned with university policies, technology standards, data standards, and strategic priorities.
Key Responsibilities
- Institutional Research and Decision Support
- AI Solutions Development
- Data Analysis, Programming, and Automation
- Reporting and Institutional Research Operations
- Consultation, Training, and Collaboration
Salary Range - $52,105 - $67,736
Salary Type
- Salary
Time Type
- Full-Time
Work Location - MU
- Marshall University
Qualifications Must be able to perform all essential job duties as outlined in the job description. Required Qualifications
Education
- Bachelor's degree in data science, computer science, information systems, statistics, mathematics, economics, business analytics, educational research, social science, or another quantitative, analytical, or technical field.
Experience - 1 to 2 years of experience conducting data analysis, institutional research, business intelligence, applied research, software development, or a closely related function at a university.
Demonstrated proficiency usingSQLto query, transform, and analyze data from relational databases.
Experience using Python, R, JavaScript, or another programming language for data analysis, automation, application development, or statistical computing.
Demonstrated experience with generative AI tools, automated workflows, analytical applications, or comparable technology solutions.
Experience assessing and interpreting data and communicating validated analytical findings to technical and nontechnical audiences.
Experience developing dashboards or analytical visualizations in Power BI or a comparable business intelligence platform.
Strong written communication, consultation, presentation, and problem-solving skills.
Preferred Qualifications
Education
- Master's degree in data science, computer science, information systems, statistics, business analytics, educational research, higher education, public administration, or a related field.
Experience - 2-3 years of experience working in institutional research, institutional effectiveness, higher education analytics, or a higher education administrative environment.
Experience analyzing solutions using Microsoft Copilot Studio, Azure AI, Azure OpenAI, Power Platform, or…
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