52 data-"https:"-"https:"-"https:"-"Computer-Vision-Center" positions at Mount Royal University in Canada
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of the site. Job Details Data Engineer - (3953) Share this job as a link in your status update to LinkedIn. Job Title Data Engineer Job Type Limited Term Union MRSA Position Classification STA06
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interpersonal and communication skills. Strong computer skills with data entry and keyboarding accuracy; experience with Banner Student Information System is an asset. Experience dealing with a high
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sensitivity. Strong computer skills with data entry and keyboarding accuracy; experience with Banner Student Information System is an asset. Salary : $66,193.40 - $83,738.20 Closing Date : August 18, 2026 A
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solve problems. Precise attention to detail and accuracy. Aptitude for working with data and computer information systems; experience in Banner Student and Extended Education - Lifelong Learning (formerly
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. Facilitate Expression of Interest and course allocation processes. Review and plan schedules for upcoming terms. Retrieve department metrics data including enrollment rates, class lists, etc. using Argos
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assigned programming areas. Lead a culture of evidence by seeking benchmarking data and developing data-informed decision-making practices (basing program adjustments on assessment, campus trends
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areas. Lead a culture of evidence by seeking benchmarking data and developing data-informed decision-making practices (basing program adjustments on assessment, campus trends, and industry research
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to support faculties and departments and provide the HR vision and expertise required to achieve their strategic business goals. This position also provides proactive leadership and guidance to
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. Generate statistics from a variety of data sources for the year-end report. Track and schedule meetings and evaluations for full-time and contract faculty according to institutional timelines (e.g., Tenure
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challenging and complex situations. Define the future direction and organization of Student Affairs departments, teams and programs and apply this vision to institutional strategic planning processes