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writing skills; experience with PowerBI, R, Python, or other data analysis and visualization tools; research experience Job Duties: Help departments align their goals with the University and Student Affairs
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advantageous. Extensive experience in data warehouse data modeling and analysis. Advanced proficiency in scripting languages such as Python, Pyspark, R, and Windows PowerShell. Highly proficient in creating and
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in scripting languages such as Python, R, and Windows PowerShell. Extensive experience in data modeling and data analysis. Familiarity with Microsoft Fabric is advantageous. Demonstrates independent
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technical tools (e.g., Web Service development, Microsoft Document Object Models, SQL databases, Microsoft Access, etc.) • Experienced with advanced statistical analysis using SAS, SPSS, Matlab, R, etc
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+ years of experience designing and collecting behavioral research studies. Proficiency in Sona-Systems software. Experience with statistical packages; SPSS, SAS, or R. Proficiency in experimental survey
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limited to R, Python (with a focus on libraries such as NumPy and Pandas), and visualization software Tableau and Microsoft Power BI. Academic experience working on a campus with culturally diverse students
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literature reviews, design research studies, collect and analyze data, and synthesize findings. Proficiency in statistical software (e.g., ArcGIS, SPSS, STATA, R) and techniques for analyzing quantitative data