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, public health, or related technical field. Experience - 5+ years of experience in business systems analysis, data analytics, or business intelligence. Proficiency in data visualization tools (e.g., Tableau
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improvement opportunities. Collaborates across departments to ensure complete, accurate, and timely data for financial reporting and analysis. Works with Planning & Analysis to align budgets with actuals and
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for modeling or tool integration. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data - create repeatable scripts for preprocessing, merging, and validating
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of related experience (e.g., data analysis, environmental quality management, public utilities, business administration, or related field); or six (6) years of an equivalent combination of education and
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George Washington University | Washington, District of Columbia | United States | about 14 hours ago
an academic or research library setting Demonstrated experience or interest in data analysis using tools like Excel, Tableau, or other data visualization software Demonstrated collaboration skills, with a
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theories, social network analysis tools, and examining cyber campaigns conducted on social media will be given preference. A candidate with experience in computer programming and data management will be
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, including experimental work, data analysis, and model development. 10% effort will support dissemination of research findings, including publications and conference presentations. The remaining 5% effort will
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, integration, and analysis using appropriate languages and frameworks. Optimize performance, ensure data accuracy, and uphold high standards for code quality, reliability, and maintainability in alignment with
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, integration, and analysis using appropriate languages and frameworks. Optimize performance, ensure data accuracy, and uphold high standards for code quality, reliability, and maintainability in alignment with
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consultation / training coordinator. - Data-facing includes data creation; data discovery and collection; data analysis and visualization; research data curation, storage, backup, preservation, and transfer