287 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at University of Toronto
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will support the creation of analytics, automations and data visualizations to support departments, residency and fellowship programs and ongoing program evaluation within PGME. As part of our core
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include: Providing detailed information to students on program and/or course requirements Acting as the first point of contact for general enquiries, disseminating program and/or service information
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the proper discharge of their duties. Qualifications Required: I. EDUCATION: A University degree in business, economics or information systems is required. A recognized accounting or auditing designation
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records for current and previously registered students; monitors, assesses, updates and reconciles information pertaining to students’ academic status, registration, course enrolments, degree POSts and
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. Your opportunity: Within DUA, Advancement Data & Reporting Services is responsible for divisional data quality, data acquisition practices and data entry standard. The Analyst is responsible
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for gift agreements, provides information relating to donations and strategic business directions, drafts confidential correspondence relating to University business decisions, provides information and
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such as a Certified Information Systems Auditor or Certified Fraud Examiner would be an asset. Experience with applying data analysis techniques and the use of ACL Data Analytics software and/or other data
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Systems Support Specialist, you will play a central role in analyzing complex data that requires great precision and attention to many details. Advising on data structure designs. Working closely with
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million held at DLSPH, the School contributes to improving population health and health policy and health systems through discoveries and innovation in data science and AI, maternal, child and reproductive
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of an individual's background. Providing detailed information on program and/or course eligibility requirements, procedures, policies and deadlines. Analyzing statistical information to inform enrollment projections