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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 11 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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: 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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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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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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data visualizations and website integrations to ensure accuracy, usability, and adherence to branding and style guidelines. Conduct simple descriptive analysis as needed for visuals. Engage interest
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description- Support in the implementation of activities related to technology in Mathematics Education in Primary Schools. - Data collection and data analysis of the implementations. - Design of mathematics
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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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across national partners. You will play a pivotal role in designing, developing and maintaining business intelligence solutions, including reports, dashboards and data visualizations for a thriving
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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