Funds Flow & Health Finance Info Sys Analyst

Job Description

This position requires working onsite in San Francisco, CA once a week.

Certain terms and conditions of employment for this position, including the rate of pay, benefits, etc., are currently subject to negotiation with the appropriate union.

The Enterprise Information Analytics (EIA) Health Finance team is seeking an Information Systems Analyst to develop, operate, and support data and analytics solutions for UCSF Health Finance. The position combines data analysis, database querying and development, business and systems analysis, reporting, data integration, and production support to address financial and operational business needs.

The incumbent will have significant responsibility for supporting clinical funds flow processes, including recurring production activities, data preparation and validation, reconciliation, provider and specialty mapping, financial and reimbursement analysis, business-rule maintenance, reporting, journal file generation, troubleshooting, testing, and process documentation.

The position works collaboratively with Finance, Revenue Cycle, operational stakeholders, and IT teams to translate business requirements into data and technology solutions; identify and resolve data quality and process issues; and support accurate, timely, and sustainable financial outputs. The incumbent will also participate in broader Health Finance data and analytics initiatives, including enterprise data warehouse, data lake, provider productivity, business intelligence, and financial system integration efforts.

Department Overview

Enterprise Information Analytics (EIA) Health Finance is an Information Technology team specializing in the development and support of data, analytics, reporting, and custom technology solutions for UCSF Health's financial and operational functions. The team partners with Finance, Revenue Cycle, clinical operations, and other enterprise stakeholders to translate business requirements into reliable and actionable data solutions.

EIA Health Finance develops and supports custom applications and processes, including clinical funds flow, provider productivity, financial reporting, and other enterprise finance solutions. The team collaborates in the development and maintenance of enterprise data lake and data warehouse capabilities supporting provider productivity and other financial and operational measures and integrates information across clinical, revenue cycle, human resources, financial, and other enterprise systems.

The team consumes, transforms, and produces data used by ERP and other Finance functions and supports data quality, business rules, system integration, reporting, reconciliation, and analytics used for financial operations and decision-making.

Qualifications

REQUIRED QUALIFICATIONS - Bachelor's degree in a related area and/or equivalent experience/training. - Minimum 3 years of experience in information systems, data analytics, or related work - Demonstrated experience using SQL or comparable data-querying tools to extract, analyze, validate, and reconcile data. - Demonstrated analytical and problem-solving skills with the ability to investigate data or system issues, identify potential causes, and develop appropriate solutions. - Knowledge of business and process analysis concepts and the application of information systems and data solutions to business needs. - Working knowledge of relational database concepts, data structures, data integration, data mapping, and data quality principles. - Demonstrated ability to validate analytical results and perform structured testing of data, reports, processes, or applications. - Ability to develop clear and concise technical and functional documentation, procedures, requirements, and training materials. - Strong written and verbal communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders. - Demonstrated ability to learn new technologies and business processes, work independently and collaboratively, manage multiple priorities, and meet established deadlines. PREFERRED QUALIFICATIONS - EPIC Cogito Certification - Familiarity with provider productivity measures, including RVUs/wRVUs, provider specialty classifications, or MGMA data. - Experience with financial data, ERP/general ledger systems, or financial system interfaces. - Experience working with recurring production processes requiring data validation, reconciliation, quality control, and deadline management.

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. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.

Pride Values

UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as https://www.ucsf.edu/about/mission-and-values . In addition to , UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available https://diversity.ucsf.edu/ . Join us to find a rewarding career contributing to improving healthcare worldwide.

EEO Statement

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.