Senior Business Intelligence and Data Analyst

Marshall University • Huntington, WV

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About The Position

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.

Responsibilities

• 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).
• 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.
• 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).
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees