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Position #: 00853609 – Requisition #: 41245 Job Summary: The Senior Data Engineer independently designs, develops, optimizes, and supports backend data solutions that enable reliable analytics, reporting
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website, uccs.edu and other supporting platforms and channels. In this position you will: Monitor content performance metrics and use data to guide decision-making. Develop audience-centered, digital-first
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collaborating analysts. This role will help shape the analytical scope and long-term data strategy of the biorepository, establish reusable data and computational infrastructure, and support its continued growth
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research using clinical, operational, claims, survey, and other healthcare data (pragmatic research). Work within a collaborative cloud-enabled analytics environment leveraging modern version control
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PeopleSoft, Workday, Oracle, SAP, or similar enterprise financial systems. Experience using financial reporting, business intelligence, or data analytics tools. Advanced experience with Microsoft Excel
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variables, quantitative measures, and analytic datasets for research projects. Assist with integration of imaging, TMS, neuronavigation, clinical, behavioral, and other multimodal research data. 20
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analytics, artificial intelligence, and innovative fundraising practices. The CU Boulder Advancement Data Insights Team primarily supports this role and team with analytics, reporting, and visualization needs
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, onboarding materials, templates, and quality frameworks that promote consistency in analytic workflows and collaborative practices. Work Location: Hybrid and Remote – as this posting is for multiple openings
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and analyze research data. Support the analytical testing process using standard lab support knowledge in the collection and review of conditions, including preserving samples, completing sample
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~$900M in funding allocated to departments, centers, and faculty across the School of Medicine. This position requires a highly organized, detail-oriented, and analytical individual capable of complex data