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projects that employ advanced data modeling and statistical techniques (e.g. multivariate analysis, linear and non-linear modeling, longitudinal data analysis, trend analysis, machine learning). Additional
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. Direct and manage the comprehensive business affairs of the programs, including management and analysis of departmental budgets, information systems, the strategic planning and budgeting for human resource
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affiliation, race, religion, sex, sexual orientation, veteran's status or any other factor prohibited by law. Work Mode Designation This position has been designated as Hybrid 2 Days. Please note that work mode
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factor prohibited by law. Work Mode Designation This position has been designated as Hybrid 2 Days. Please note that work mode designations are regularly reviewed in order to meet the evolving needs
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applications (Word, Excel, and PowerPoint), Google Workspace, and Salesforce.com GU360 constituent relationship management system. Preferred Qualifications 2-4 years of higher education fundraising experience
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the identification and analysis of non-routine factors. Use independent judgement and discretion to determine or recommend the best course of action. Oversee expert and information management, monitoring and
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for expenditures Basic understanding of Excel and general data analysis (analyzing instances to identify errors, challenges, etc. and any areas for process improvements) and willingness/potential to further Excel
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analysis function. Additional duties include, but are not limited to: Assist faculty in analysis, management, and reconciliation of all work tags and subcontracts. Serve as the administrative liaison with
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dialogue around through the analysis of laws, programs, regulations, and spending. Through topic-based workshops and ongoing peer learning forums like our State Policy Forum and Regional Collaboratives Forum
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culture. Perform in vivo studies in animal models as well as mouse colony management. Troubleshoot problems and recommend solutions. Evaluate experiment results using statistical and multivariate analysis