260 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Sydney in Australia
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the University and external partners, ensuring professional and confidential communication. Facilitate the flow of information on behalf of the Executive, monitor follow-up actions, and assist with informed
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required oversee systems, reporting and data quality across OTA, CASS, Workday, Ascender and related HR or compliance platforms, including data analysis, dashboards, SLA/KPI tracking and risk identification
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of Advancement Officers to serve as the first contact point for Aboriginal and Torres Strait Islander students. Your key responsibilities will be to: provide learning guidance, information, advice, and
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organisational policies and standards. The role contributes to strategic priorities by coordinating projects, managing information and reporting frameworks, and supporting continuous improvement initiatives
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, capabilities and experience meet the requirements for the role) can be submitted via the Apply button at the top of the page. Please refer to the candidate information brochure and position description
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to developing guides and process documentation to support team workflows. Reporting and Compliance Assist with generating reports and maintaining data accuracy across systems. Help identify and flag discrepancies
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prior to starting in this position. For more information and instructions, please visit: NSW Health employment requirements This position is designated as involving child-related work. To undertake
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to the organisation Demonstrated computer literacy with strong proficiency across the Microsoft Office suite. Proven organisational, time management and numeracy skills, with the ability to manage competing priorities
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analyse data in the manufacturing process. The project is a partnership between Rux Energy and USYD and is a multi-disciplinary effort between scientists and engineers. We are looking for a Postdoctoral
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climate finance, financial regulation, fintech, labour and innovation finance, and household finance. FIN benefits from exceptional data access and deep methodological capability in large-scale data