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Support (IR&DS) is a team of data professionals who provide analysis and reporting to guide university decision-making. IR&DS's mission is to facilitate institutional decision making at Stanford University
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 13 days ago
/gifts/endowment funds, and capital projects. Experience with preparing and importing data into a reporting tool (e.g., Tableau and Smartsheet) and creating dashboards for divisional financial analysis
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. While important to have basic literacy in data modeling and visualization, this role will not be directly responsible for data analysis and, instead, serves as expert support for both external and
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: https://www.list.lu/ How will you contribute? Contributing to multiple R&D projects in the AIRA team, an R&T Scientist position is opened to contribute with algorithms and models in data-driven and
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strongly desired. Has showcased experience in quantitative data methods, with a background in statistical analysis strongly desired. Holds foundational skills in managing complex databases (e.g. Airtable
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Michigan Department of Health and Human Services. The University is providing public health data analysis, visualization platforms, and modeling for use by the public and local public health officials
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over the next few years. In particular, the intern will help compile and analyze data into useful 10-20 year longitudinal analyses, i.e. visualizations or dashboards, that show significant actionable
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organizational and process improvement initiatives by providing data analysis and performance insights. Contributes to the development and delivery of training programs to assist end users in understanding and
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) Data analysis and reporting in Excel Formulas and functions (e.g., XLOOKUP, PivotTables, IF statements) Data visualization, dashboards, and reporting automation Microsoft Word for business documents and
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Board of Trustees. Uses data analysis and visualization tools to create and maintain dashboards and reports and performs financial analysis in support of management and departmental operational needs