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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | about 1 month ago
development and implementation of reporting and data warehouse capabilities, using existing tools and acquiring new systems to achieve the University’s evolving financial objectives. Position Summary This
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. - Demonstrated proficiency relating to logical data design, data warehouse design, data integration, and data modeling. About UCSF The University of California, San Francisco (UCSF) is a leading university
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closely with Data Warehouse and Integration teams to support data movement, transformation, reconciliation, and governance activities. Assist with testing, validation, and deployment activities
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, faculty, staff, and vendors to ensure the timely and accurate collection of course material adoptions. Manage course material adoption data through research, tracking, reconciliation, and data maintenance
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. · Maintain accurate/detailed files related to purchasing, expenditures, inventories, and student data. · Keep accurate student files and meeting minutes. · Maintain confidentiality as appropriate
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interoperability with related systems ( HCM , Student Information System, Data Warehouse, Tableau, etc.). Act as subject matter expert during upgrades, quarterly patches, testing, and implementation of new
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interoperability with related systems ( HCM , Student Information System, Data Warehouse, Tableau, etc.). Act as subject matter expert during upgrades, quarterly patches, testing, and implementation of new
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interoperability with related systems ( HCM , Student Information System, Data Warehouse, Tableau, etc.). Act as subject matter expert during upgrades, quarterly patches, testing, and implementation of new
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Campus Solutions Student Records module, OnBase ECM , and/or data warehouse Previous experience utilizing athletic certification tools, such as Compliance Assistant, and credentials tools Previous
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into the data platform. Develop and implement data models for analytical consumption, applying appropriate data warehouse and lakehouse modelling principles. Build and maintain reusable data products