62 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" positions at University of Washington in United States
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Position Details Pay Range Minimum: $78,324.00 annual Pay Range Maximum: $90,072.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu
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Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary or Regular
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: $168,888.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United
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Job Description Data integrity and Reporting Specialist As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer
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operations. The CRM & Data Integrations Administrator supports the School’s Salesforce and EnrollmentRX platforms while strengthening the School’s broader data ecosystem through integrations, APIs, data
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Position Overview School / Campus / College: Information School Organization: Information School Title: Assistant Teaching Professor, Information Management & Information Systems Position Details
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Compensation: - Benefits: For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/ Shift: First Shift (United States of America) Temporary or Regular
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Scheduled Hours 40 Position Summary Performs data management and/or data analysis for investigators using statistical packages. Assists investigators in the design of experiments, clinical trial
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Scheduled Hours 40 Position Summary Oversees the accuracy, timeliness, and integrity of Workday employee data and HR transactions within the HR Solutions Center. This role ensures compliance with
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Scheduled Hours 40 Position Summary Provides data analysis and visualizations to support department. Job Description Primary Duties & Responsibilities: Collect and analyze large data sets