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and submission of the Individual Learner Record (ILR) statutory return to the Department for Education (DfE). You will ensure timely, accurate funding submissions while supporting data analysis
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platforms run smoothly and meet the evolving needs of our users. Key responsibilities: Lead the collection, analysis, and presentation of data to support decision-making and improve service delivery. Manage
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. What we’re looking for: Experience of leading, inspiring and motivating a team Proven communication, interpersonal and influencing skills Excellent IT skills Some experience of data analysis An ability
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of the organisation and improve short and long term performance through relevant, accurate and timely reporting, analysis, decision support and participation through business partnering and efficient operational and
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teaching in the application and analysis of remotely sensed data and GIS. You will have a doctoral degree in a relevant field, supported by experience at postdoctoral or equivalent level, and an excellent
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strong relationships across the University to support change adoption and stakeholder engagement. Develop and maintain high-quality documentation, templates, and toolkits to support consistent analysis
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documentation. Researching, interpreting and manipulating data using a variety of systems, analysing and highlighting issues for further analysis and for use in project reports, claims, publications, etc. Co
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inquiry-based activities to learn the fundamental principles of engineering science and technology through experimentation, observation, and analysis. You will be expected to have an NVQ/BTEC level 3/4
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through data input, monitoring, analysis and reporting using a variety of IT packages for designated programmes. Attendance and minute taking at Committee meetings, Subject Assessment Panels and Award
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online, demonstrating how you meet the essential criteria outlined in the knowledge, qualifications, training, and experience elements of the job description in your supporting statement. Following