The Analyst within Computational Science plays a key role in supporting the university's research computing efforts by providing technical expertise and contributing to the design, development, and optimization of computational systems. This role involves assisting with the integration of advanced computing capabilities, including hardware, firmware, networking, and data management components, to address the computational needs of researchers, faculty, and staff. The analyst works closely with research teams to identify computational problems and implement technical solutions that enhance the performance and efficiency of research computing environments. As an intermediate-level individual contributor, the Analyst within Computational Science is responsible for the evaluation and optimization of various technical systems that support computational science projects. This includes conducting performance analysis of existing infrastructure, identifying areas for improvement, and assisting with the implementation of new technologies and techniques. The role also involves working alongside senior team members to ensure the integration of new computing capabilities into the broader research infrastructure, helping to maintain and enhance the systems that drive academic research initiatives at the university. The Analyst contributes to a collaborative team environment, working with other technical professionals to support the development of solutions for computationally demanding problems. They are also involved in ensuring the security and reliability of computational resources, assisting in troubleshooting and resolving technical issues, and participating in the ongoing management of research computing infrastructure. While the Analyst works under the guidance of senior team members and managers, they are expected to contribute their expertise and knowledge in computational science to help improve and streamline the university's research computing operations.