University of California , San Francisco
Data Sys Anl 3
San Francisco, California · Senior
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About the role
- The Clinical Revenue and Research Data Analyst is a skilled data and information management professional with expertise in data analysis, SQL query development, Tableau, and programming languages such as Python.
- This role requires experience or a strong interest in leveraging AI and other emerging technologies to enhance data insights and operational efficiency.
- This position will play a key role in supporting the Department of Medicine (DOM) clinical enterprise through data analysis and data management.
Responsibilities
- Yes Applies professional and broadly defined business analysis and data / information administration and data use concepts to manage and perform complex assignments.
- Yes Independently analyzes complex information requirements and documents them using formal data definition techniques and naming standards.
- Researches relevant problem-domain literature and information standards and develops recommendations for data management resource plans including approaches, trends, sources and uses.
- Yes The Clinical Revenue and Research Data Analyst will play a key role in supporting the DOM clinical enterprise by providing analytic and project support related to clinical revenue management:
- Support for miscellaneous clinical revenue questions/problems that arise, and project management support to keep track of outstanding issues with FPRMO
- Compile and manage data necessary to evaluate the state of DOM research at regular intervals.
Requirements
- Bachelor's degree in related area and minimum three years experience / or equivalent combination of experience / training.
- Minimum of 5 years' experience in data analytics, data management, or related
- Thorough knowledge of data management systems, practices, and standards.
- Thorough knowledge of business intelligence functions, analytics, industry standards and best practices
- Demonstrated ability to work with others from diverse backgrounds.
- Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization
- Ability to prepare data models unassisted.
- Ability to use AI tools (or willingness to learn)
- Familiarity with data model patterns in one or more common business or academic domains
Nice to have
- Strong skills in financial risk management
- Ability to use Tableau (or willingness to learn)
- Thorough knowledge of University rules and regulations, processes, protocols and procedures for budget, accounting and fund management, and / or personnel management
- Prior experience supporting research in an academic environment
Benefits
- Come be a part of our team and use your analytic skills in support of a great mission to advance healthcare worldwide!
- Assist with the development/coordination of resources to improve education/training on documentation/billing.
This listing is sourced directly from University of California , San Francisco's careers page and normalized into a canonical job model.