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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
, multi-stakeholder projects. * Proficiency with data and visualization tools such as Excel, Power BI, or Tableau. * Knowledge of project and change management tools and methodologies. * Strong analytical
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Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis, forecasting, optimization, data visualization
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Posting Summary Logo Posting Number RTF00079PO26 USC Market Title Data and Statistical Analyst Link to USC Market Title https://uscjobs.sc.edu/titles/156421 Business Title (Internal Title) Data and
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the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group “Visualization and Data Analysis
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to lead and advance data management, analysis, reporting, and storytelling efforts across divisional priorities. The positions play a critical role in strengthening the division's ability to measure
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, skills, and experience in translating complex business needs into technical solutions using advanced analytics, including predictive modeling and statistical analysis, to drive institutional decision
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Statement Chief Objective of Position The Assistant Director of Institutional Research supports the university’s mission by providing advanced data analysis, reporting, and strategic insights that inform
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
analysis and visualization for UCSF Health, Benioff Children's Hospitals and our affiliates. As part of the data analysis and reporting efforts, this position will focus on providing expertise across
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and effective user interaction Develop and maintain web-based user interfaces to enable intuitive interaction with the digital twin and data services. Scientific Analysis: Make critical analysis and
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will be a part of our team. The main work will be sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users