591 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" uni jobs at University of Toronto in Canada
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facilitate the integration of the software needed for seamless instrument and data management in the context of a world class AI-lead and industry-driven research environment. Ultimately, your work will help
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components of projects. Interpersonal and intercultural communications skills are essential. Excellent administrative skills, including word processing, data analysis, desktop publishing and experience with
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. This position is based in our Regina office. In this role, you will be responsible for conducting in-depth research and providing comprehensive policy and data analysis to support key initiatives aimed
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of data extraction and appropriateness of supporting documentation. Ensure transactions are processed in accordance with government policies and procedures. To be successful in this position, you will have
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, collect and analyze data, ideate interventions, and evaluate the impact of these interventions. Estimated course enrollment: ~ 25 students Estimated TA support: not applicable Class schedule: 2-hour
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Writing routine documents and correspondence Collating and organizing data for various reports Scheduling travel plans and requesting appropriate accommodations Maintaining information on digital platforms
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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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) and provide leadership support to translate the Financial Strategy and Services Department’s vision into practical improvements across finance processes, technology and system usage, and data management
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and asset services to 13,000 clients within the GOS. You must also have strong communication skills to provide clear and concise information to clients and staff. You will have knowledge of current IT
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internal contacts to resolve accounting, payroll and/or HRIS processing issues Identifying and analyzing data discrepancies and taking necessary actions to correct errors Preparing detailed data analysis