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to reporting warehouse target and collaborating with Data Engineering team on necessary corrective measures. Provide training and guided assistance to customers on reporting best practices and use of university
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 7 hours ago
the University of North Carolina System since 1969. Department Warehouse & Surplus - 35411 External Link to Posting https://jobs.uncw.edu/postings/37467 Vacancy Number TSP5557PST Working Title SHRA Temporary
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’ missions of teaching, research, and service. For more information, please visit https://it.rutgers.edu. Posting Summary Rutgers, The State University of New Jersey, is seeking a Consulting Application
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a trusted partner, driving excellence through seamless facility management and unwavering support of the university’s mission. For additional information, view a quick message from some of our
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delivery trucks, checking for correct quantity and type of materials. Record any damaged, missing, or faulty goods and assist in quality control. Work closely with warehouse staff to keep goods organized and
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, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ DEPARTMENTAL PREFERENCES Bachelor’s degree in
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business programs (e.g., Outlook, Excel, Word, Power Point) Demonstrated experience utilizing data warehouse, data analytics, and reporting tools (e.g., Cognos, SQL, R, Python, Tableau, Power BI) Experience
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can be found at https://calstate.policystat.com/policy/9779821/latest/ and questions may be sent to jobs@sjsu.edu . Additional Information Satisfactory completion of a background check (including a
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at https://www.hr.uillinois.edu/cms/one.aspx?portalId=4292&pageId=5705 to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
of approximately 300 scans is planned to allow the model to be trained. Access to this imaging has already been anticipated through the Health Data Warehouse (AAP Entrepôt de Données de Santé EDS 2023) via