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working with advanced softwares like Python and R> (internships and thesis research are welcome). Demonstrated experience in quantitative data analysis, including working skills in visualization tools
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of specialized software packages and tools for data capture, processing, and visualization. Perform data quality assessments, process data to facility standards, distribute data to project teams and other
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social media analysis to support research projects, including hypothesis generation, behavioral evaluation, data collection, cleaning, preprocessing, and analysis; Analyze multimedia-rich content within
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Salary Range $58,302-96,179/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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services in Schools and Academic Units Demonstratable ability to use reporting and analysis tools and proven skills of analysing information relevant to the role How to Apply Applications can be submitted up
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 1 month ago
to document and streamline processes. The incumbent will use Tableau or other applications to visualize streamlined data. The incumbent will also assist in maintaining current or future code written
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for this position have a great interest and knowledge in data analysis, filtering and modeling based on large amounts of data. It is important that you have a solid understanding of mining and mining systems to also
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and editorial skills with an excellent understanding of digital storytelling and visual content creation. Analytical skills: Ability to use data and analytics to measure effectiveness and inform
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Unity) Assist with basic data analysis, such as descriptive statistics, simple comparisons, trend identification, or visualizations Contribute to research documentation and technical writing, including
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basis. Experience developing and implementing mixed-methods program evaluation. Experience with report preparation and data visualization. Experience using code-based statistical software (e.g. Stata, SAS