JOB OVERVIEW The Junior CAD / CAFM Analyst position in Space Analytics team will assist and perform as: (1) Data Systems personnel supporting the maintenance of the UCSF Campus Space Management System – Archibus, (2) Set up, establish and maintain all supporting standards, processes, and policies to ensure data accuracy in UCSF’s Campus Space Management System, (3) Ad-hoc and custom reporting/data-analytics based on current space inventory, (4) Physical field investigations and space walkthroughs conducted at building and room levels,
THIS POSITION ALSO ALLOWS FOR REMOTE WORK/TELECOMMUTE BASED ON THE NEEDS OF THE BUSINESS.
REAL ESTATE SPACE ANALYTICS TEAM The Space Analytics team is responsible for the data management of the UCSF inventory of 10 million square feet of owned and leased space. We maintain the space database of record at UCSF, utilizing Archibus as our Space Management System. The space inventory database is the primary source for UCSF’s facilities inventory and is provided to the University of California Office of the President (UCOP) annually where the data is then merged into the UC Corporate Equipment and Facilities system.
ABOUT UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences.
REQUIRED QUALIFICATIONS • Bachelor's degree in Architecture, Design or Information Management Systems and three years of related work experience in Space Data Collection and Management; or an equivalent of combination of education and experience • Ability to prepare data models unassisted. Knowledge relating to the design of processes and IWMS softwares used in the industry • Familiarity with logical data design and data mapping or data conversion • Familiarity with data quality and governance issues and requirements. Advanced knowledge of data management systems, practices and standards. Experience using Archibus v 21 or higher • Ability to represent huge data sets into executive summaries • Thorough knowledge of data management systems, practices and standards. Advanced skills and methodologies associated with process and software design, modification and implementation • Thorough knowledge of relevant rules and regulations (IFMA, BOMA builidng standards) • Strong analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems. Proficiency in architectural and engineering drawings, concepts & design (ability to work in different AutoCAD versions) • Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail • Demonstrated ability to work with others from diverse backgrounds. Demonstrated effective communication and interpersonal skills. Demonstrated service orientation skills • Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization • Self-motivated and works independently and as part of a team • Demonstrated strong problem-solving skills. Able to learn effectively and meet deadlines • Strong organizational skills
PREFERRED QUALIFICATIONS • Familiarity with data model patterns in one or more common business or academic domains. Advanced skills and methodologies associated with process and software design, modification and implementation • Familarity with GIS/ArcGIS/REVIT • Demonstrated system testing and test planning skills required prior to implementing major and minor updates
JOB REQUIREMENTS: The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
To apply for this position, please copy and paste the following link into your browser address bar: https://ucsfedu.contacthr.com/67608684
Internal Number: 67608684
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