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on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment
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Degree Preferred Education: Master's Degree in higher education, or a related field Required Experience: 5+ years project management, data analysis, or program assessment experience Required Skills
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and interpret medical utilization data and costs, identifying new metrics for measuring results as well as monitoring current metrics for trends. Ensures that all analysis is actionable for business
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working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling. This degree prepares students for entry
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. Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making. Demonstrated experience designing and implementing ETL/ELT
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, dashboards, and data visualizations in alignment with institutional needs and data governance standards. This position coordinates these data collection and reporting processes across a network of academic and
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of higher education in a related field Preferred Experience Advanced proficiency in Power BI, Tableau, or similar Data Management/Visualization tool The budgeted salary range is $96,740 Minimum to $110,000
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 13 days ago
, including data manipulation, descriptive analytics, basic statistical analysis, and data visualization. Experience using common analytics tools and programming environments such as Python, R, Excel, SQL
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, survey administration, data analysis, or a closely related field, preferably within higher education. Preferred Qualifications: Masters degree in a related field with coursework in quantitative research
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the creation and analysis of a shareable data set (of already collected data) from nearly 10,000 children ages 15 to 36 months. There is both a scientific premise and a methodological premise underlying the