161 data-"https:"-"https:"-"https:"-"https:"-"https:"-"RMIT-University" positions at Cardiff University
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achieve its objectives. Work with others to make recommendations to improve our ways of working. Gather and analyse data (e.g. business travel, staff and student travel, fleet mileage data) so that informed
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your behalf. This amount will be repayable over 10 months Reduced rates on sports memberships Access to 90 plus staff discounts and deals Discounted childcare For more information go to: What we can
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deals Discounted childcare For more information go to: What we can offer - Jobs - Cardiff University This role is site based, meaning that you will be spending all of your time working on campus
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the rationalisation review by collecting and analysing data to develop strategy in collaboration with senior leadership. Oversee implementation of projects to achieve this strategy, including
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contribute to long term developments Evidence of using negotiation or influencing stakeholders and/ or suppliers to make efficiencies Ability to communicate conceptually detailed and complex information
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and advising staff and students. Investigate and analyse specific issues within current student and student survey data sets, creating recommendation reports, supported by advances within data capture
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and policies, maintaining professional standards. Ability to communicate information effectively and professionally to a wide range of people. Ability to use your initiative and creativity to solve
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Information Management System (SIMS), Timetabling software (Syllabus Plus), and Virtual Learning Environment including Learning Central and Business Objects. • To provide administrative support to
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to and which will enhance performance. Gather and analyse data working with Graduate Outcomes and Target Connect to inform decisions, establishing trends and patterns in data and creating reports as
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advanced computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis