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No. G-2026-79331. Job Responsibilities Data collection and analysis: Conduct background research on clean-energy manufacturing sites and the communities hosting them; assist the research team in
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/Communications Staff/Administrative Internal Number: 7076395 Senior Paid Media Specialist Brown University To view the full job posting and apply for this position, go to: https://brown.wd5.myworkdayjobs.com/en-US
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): 1 point per 10 accredited hours (maximum 15 points) 2. Relevant complementary technical training (data visualization, database management, text analysis tools, advanced digital humanities): 0.75
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Job Summary/Basic Function: Provide client support for desktop-based software applications, hardware configurations and system analysis. Provide assistance and solutions for integration between
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California State University, San Bernardino | San Bernardino, California | United States | 25 days ago
with team and funding agency to assess data needs and create and support execution of plans to address those needs; Visualize data and results electronically; Maintain internally- and externally-facing
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, analytic, and reporting support across multiple research projects. The Information Specialist serves as an early-career data analyst, contributing to the preparation, organization, analysis, and validation
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the collection, analysis, documentation and interpretation of social, economic or health related information. · Assists with managing investigational products including arrival, storage, and handling (requisitions
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equity. You will gain hands-on experience working with clinical research participants, coordinating multi-site studies, and supporting data collection and analysis using advanced research methodologies
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variance analysis of human capital activity, including staffing changes and salary modeling; integrate Workday data into budgeting, forecasting, and planning processes. Support monthly reporting
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that enable decision-making across Northeastern University. This role bridges data engineering and analytics—building robust data pipelines in Snowflake while creating user-friendly reporting and visualization