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contribution to the teaching and learning activities within the School. Visit our website for further information on Adam Smith Business School: https://www.gla.ac.uk/schools/business/ Informal enquiries should
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methodology) and SSIS-supported data pipelines, this role integrates data from multiple enterprise sources to create reliable analytic datasets and metrics. The analyst monitors and validates results, including
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analytical thinking skills, particularly in understanding how databases support data-driven decision-making. All application materials must be submitted via Interfolio at https://apply.interfolio.com/183881
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visit the following websites for each position, where you can also access a full candidate brief. Accounting & Finance Department (Job Reference BUSAF1021) - https://jobs.leeds.ac.uk/BUSAF1021 Analytics
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
to ITR's mission to conduct high quality, reproducible trauma research at scale. emphasizing scientific leadership in trauma-related clinical research. This position centers on analytic strategy, data
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Position Details Position Information Recruitment/Posting Title Data Scientist Posting Number 26TM0130 Department UFA Data Analytics Overview Rutgers, The State University of New Jersey, is a
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Position Summary The Senior Data Engineer serves as a top-level technical contributor and lead for complex data and analytics initiatives that align technology solutions with clinical, operational, and
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the consistency of data collection and reporting processes. Strong spreadsheet and database query experience and analytical skills with the capability to interpret data, identify trends, and present complex data
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evidence and hand‑offs are clear for stakeholders. Qualifications 4–7 years of relevant experience across internal controls, audit/assurance, data analytics, or shared‑services process excellence (or a mix
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an established modern analytics-as-code stack (PostgreSQL, dbt, Prefect, Python, Git/GitLab CI) and integrating data from diverse sources (SQL databases, APIs, flat files, SFTP feeds), this role empowers analytics