Sort by
Refine Your Search
-
, enhance service delivery, and ensure long-term-sustainability. Responsibilities include improving administrative processes, optimizing technology platforms, supporting governance structures and aligning
-
, scientists and leaders who are life-long learners and inquisitive scholars. We embrace professionalism, innovation and collaboration to optimize health and health care for all. The Phoenix Biomedical Campus
-
updated to include the Preferred Qualifications for the position. A successful HR Data and Technology Analyst I will work to optimize HR software by translating business needs into system configurations
-
for UA-COMP, ensuring system reliability, performance, and alignment with researchers' data analysis needs. Maintain and optimize research storage infrastructure, including ZFS, BeeGFS, and tape-based
-
research computing systems for UA-COMP, ensuring system reliability, performance, and alignment with researchers' data analysis needs. Maintain and optimize research storage infrastructure, including ZFS
-
principles. Business Process: Support projects focused on improving business process efficiency. Contribute to the implementation of tools to efficiently organize work and optimize processes. Serve
-
improvement. Partner with department leads to identify resource and operational needs; lead efforts to ensure resource optimization and scalability of operations. Develop, maintain, and communicate divisional
-
Learning Management System that is optimized for on-campus and remote students. Minimum Qualifications Master's degree in an engineering or closely related discipline. Preferred Qualifications PhD in Systems
-
the University's chosen Learning Management System that is optimized for on-campus and remote students. Minimum Qualifications Master's degree in an engineering or closely related discipline. Preferred
-
to optimize resource use. Utilize advanced knowledge of university financial systems and departmental tools to conduct complex financial analyses, refine reconciliation processes, and recommend enhancements