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., Lucid chart, Visio). Experience with data analysis and visualization tools (e.g., Business Objects, Power BI). Experience with user acceptance testing and business process testing. Experience writing
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: Preference will be given to applicants with knowledge and skills in: a) Conducting functional and structural examinations of the visual system; b) Data analysis and the development and implementation
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or oversee tools such as: BI/Visualization: Tableau, Power BI. Statistical/analysis: R, Python, or equivalent. Research intelligence: Clarivate InCites/SciVal, Dimensions, Web of Science/Scopus; NIH RePORTER
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University of California Office of the President | Oakland, California | United States | about 1 month ago
materials and visual content to communicate research findings and strategic recommendations Use Excel and other analytical tools to organize, analyze, and summarize data Collaborate with procurement staff
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, and performance analysis Develop automated reporting solutions, dashboards, and visualizations that improve data accessibility and accuracy Ensure data models align with institutional standards and
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Contribute analytic insights in preparing presentations for policy and employer audiences Perform other duties as required Data Analytics & Research Lead analysis of provincial nursing workforce supply, IEN
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. Ability to initiate, lead, and manage policy research analysis and projects, including commissioned policy reports. Ability to identify national policy gaps and develop research agendas to advance
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does change the world. For more information about Texas McCombs please visit: https://www.mccombs.utexas.edu/ Purpose This Data Analyst position will join the Full-Time Career Education and Coaching team
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auditing processes, perform data analysis, and interpret results. Use systematic literature reviews to inform the current state of translational science as a distinctive field and identify gaps in
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with bioinformatics tools and software for data analysis (e.g. Seurat, SquidPy, Bioconductor). Strong understanding of statistical methods and data visualization techniques. Familiarity with spatial