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at the National University of Singapore (NUS) with the collection, analysis, visualization of data and presentation of analytical results for regular and ad-hoc reporting purposes to meet multiple information and
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strong aptitude to learn and adopt new technology and/or software tools. Works independently and adapts quickly as needs change. Ability to prioritize and manage multiple streams of work. Strong analytical
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Title: Associate Vice President, Marketing Technology and Analytics Department: Marketing, Communications
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The Office of Data and Analytics (ODA) at NTU is seeking a detail-oriented and analytical individual to support institutional reporting and compliance requirements. This role offers the opportunity
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IT Principal Professional (EPIC/PACS Data Management and Analytics Specialist) - 37887 University Staff Description University of Colorado Anschutz Medical Campus Department: Radiology Job Title: IT
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Senior Data Analyst SVC HS Information Technology - Pennsylvania-Pittsburgh - (25005449) We are seeking a detail-oriented and analytical Data Analyst to join our team. This role is critical
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that the data is accessible, easy-to-use, flexible, and suitable for various analytical purposes, including joint analyses across multiple domains and interactions across multiple systems. Performs other related
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provides an opportunity to apply coding knowledge to real-world applications by transforming C++, C#, and Java code into usable files for data analytics and website integrations. Students in this role will
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. They are expected to complete work independently on highly complex tasks. Reporting and Analytics Consultants may work on multiple projects at a time and have significant project responsibilities. Typical
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 6 hours ago
HR initiatives to organizational priorities. Ability to manage multiple projects and deliver results within tight timelines. Foundational analytical skills; comfort using data to support