199 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" positions at Cardiff University in United Kingdom
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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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. Ability to communicate conceptually detailed and complex information effectively and professionally with a wide range of people 7. Ability to work well within a team to achieve the team’s objectives, but
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to deliver greater levels of success Customer Service, Communication and Team WorkingAbility to communicate detailed and complex information effectively and professionally with a wide range of people
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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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customer service; and communicating complex information effectively. They should also be capable of setting up and improving administrative processes, influencing key stakeholders, and planning and managing
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training to a variety of staff across the University on changes to financial systems. · Undertake a variety of administrative duties to support the Financial Systems and Data team. · Instruct and guide other
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experience in relevant techniques, laboratory housekeeping and maintaining records under the Human Tissue Act. For further information candidates should contact Professor Matthias Eberl (eberlm@cardiff.ac.uk
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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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-scale data using complex statistical methods (i.e. structural equation modelling and/or multivariate analysis). The successful applicant will enjoy data analysis and working with complex data and will