Senior Business Intelligence and Data Analyst

Job Description
Marshall University is seeking a skilled Business Intelligence and Data Analyst to join our Institutional Research team. This role is pivotal in supporting the universitys 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. 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.