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reproducible data models and statistical analyses (e.g., regression, clustering, predictive modeling). Contribute to scenario planning, enrollment forecasting, and operational optimization projects. Data
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, student success, and operational optimization. In collaboration with the Data Engineering team and analysts in Analytical Services & Institutional Research, the Director contributes to the University Data
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