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University of California San Diego

Senior Data Systems Analyst

University of California San Diego, San Diego, California, United States, 92189


DESCRIPTION

DEPARTMENT OVERVIEW:

UC San Diego is ranked the 9th best public university in the nation by U.S. News and World Report and is the largest employer based in San Diego County. Reporting to the VC-CFO, Information Technology Services (ITS) delivers Enterprise information technology services to the University of California, San Diego (UCSD) under the leadership of the campus Chief Information Officer (CIO). Information Technology Services (IT Services) uses world-class services and technologies to empower UC San Diego's mission to transform California and the world as a student-centered, research-focused, service-oriented public university. As a strategic member of the UC San Diego community, IT Services embraces innovation in their delivery of IT services, infrastructure, applications, and support. IT Services is customer-focused and committed to collaboration, continuous improvement, and accountability.

Equity, Diversity, and Inclusion are core values at UC San Diego and within Information Technology Services. Crafting a culture around these values allows us to more deeply connect with and appreciate our employees, students, and campus partners. Information Technology Services is continuously working to build a community where we all feel safe, empowered, and encouraged to bring our authentic selves to work. We do this not only because it is what's right, but because we know that diversity drives insight and innovation. We are proud to partner closely with UC San Diego's Office for Equity, Diversity, and Inclusion, as their dedication to this mission helps us all to drive change.

Workplace Technology Services (WTS) is responsible for adopting, deploying, and maintaining campus-wide workplace services for faculty, staff, and students. This includes email, calendaring, web content management, signature, mobile technologies, collaboration services, and business intelligence.

The Business Intelligence team develops, maintains and implements applications and capabilities that support the easy and timely access and utilization of enterprise data through a read-only central repository and supporting toolsets.

Our primary goal is to provide high quality and timely support and services to our client base in response to Business Intelligence requirements. This includes delivery of quality services that encourage client independence through timely access of all Data Warehouse information.

The Business Intelligence team is directing a BI Modernization program that includes the creation of new centralized data stores and rollout of an enterprise level BI tool – Cognos. The program is engaging all VC areas in development of data models and BI reporting to address functional requirements.

POSITION OVERVIEW:

Having significant experience, applies advanced data / information management concepts and campus / medical center / OP objectives to resolve highly complex issues where analyses of situations, information or data require an in-depth evaluation of variable factors. Selects methods and techniques to obtain desired results. The position is also responsible for collecting customer BI requirements, developing related solutions, coordinating testing including user acceptance and overseeing related implementation.

Responsible for designing and developing activity hub views, including Final Curated Views (FCVs), to support analytics and operations across the campus. This position involves designing and managing the automation of Activity Hub metadata creation and feedback mechanisms for the Generative AI Platform. Responsibilities include developing and overseeing activity hub stored procedures, tables, and views for API and platform access. The role also encompasses integrating advanced analytics capabilities, including machine learning and AI, within activity hubs. Additionally, the position requires creating autonomic, self-healing routines to enhance BI and database team productivity.

Responsibilities:

Plans and conducts data analysis efforts for highly complex small and medium-sized projects that may include managing partnerships between multiple institutions. Establishes or maintains information documentation standards such as data naming standards and value domain descriptions. Schedules and conducts analysis sessions. Documents ownership, custody and access requirements for data subject areas. Responsible to A) Identify data sources B) Identify specific source objects C) Document data relationships required for sourcing and D) Coordinate data sourcing information with local SMEs. Initiates and designs for diverse data and data systems. Initiates, designs and implements detailed interfaces between computer systems. Initiates, designs, executes and sustains metadata for collections of digital objects.

Initiates and designs for diverse data and data systems.

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