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About the Role
The Data Analyst will collaborate with business and technical stakeholders to understand data, reporting, and analytics needs. They will design, develop, and deliver efficient, standards-based analytics solutions that support operational and strategic decision-making. The role involves translating data into actionable insights and recommendations, developing and maintaining dashboards, reports, and visualizations, and participating in the design and implementation of analytic solutions. This position supports the development and maintenance of data pipelines, ETL workflows, and data integration processes, and analyzes complex datasets to identify trends and communicate findings.
Responsibilities
- Collaborate with business and technical stakeholders to understand data, reporting, and analytics needs.
- Design, develop, and deliver efficient, standards-based analytics solutions that support operational and strategic decision-making.
- Translate data into actionable insights and recommendations to support business operations, performance improvement, and organizational objectives.
- Develop and maintain dashboards, reports, and visualizations that monitor key business metrics and provide meaningful information to leadership and operational teams.
- Participate in the design and implementation of analytic solutions, including data acquisition processes, business rules processing, data aggregation, and reporting methodologies.
- Support the development and maintenance of data pipelines, ETL workflows, and data integration processes using tools such as SQL, SSIS, DataStage, Github, Databricks, Azure Data Factory, or similar technologies.
- Analyze, design, develop, test, document, and support data warehouse and analytics solutions.
- Collaborate with data modelers, architects, and integration teams to support data architecture initiatives and contribute to end-to-end data and information delivery solutions.
- Utilize SQL and related technologies to extract, transform, validate, and optimize data for reporting and analytics purposes.
- Leverage Epic and other enterprise systems to extract, analyze, validate, and interpret healthcare data to support operational improvement and business objectives.
- Perform analysis of complex datasets, identify trends, develop visualizations, and communicate findings in a clear and compelling manner.
- Ensure data integrity and accuracy by identifying data anomalies, troubleshooting issues, and supporting continuous improvement of data quality processes.
- Provide technical expertise in data storage structures, data extraction, data transformation, data cleansing, and reporting methodologies.
- Support and use analytics and business intelligence technologies while assisting in the education of staff and customers regarding data, reporting, and analytics capabilities.
- Assist in troubleshooting complex technical issues and partner with senior staff to resolve escalated problems.
- Participate in data governance activities and support enterprise data standards, definitions, and stewardship practices.
- Collaborate with stakeholders to identify opportunities to improve reporting processes, data quality, reporting performance, and user adoption.
- Support the development and maintenance of metadata, business definitions, technical documentation, and data dictionaries.
- Research emerging analytics, reporting, and data management technologies and support the team in product evaluations, pilots, and proof-of-concept activities.
- Participate in dissemination of best practices, standards, and process improvements across the analytics community.
- Contribute to project planning activities including requirements gathering, effort estimation, testing, implementation, and post-production support.
Requirements
- Full understanding of industry practices and campus / medical center / OP and department methodologies, policies and procedures.
- Competency in selecting methods and techniques to obtain solutions.
- Customer-focused.
- Strong analytical and communication skills.
- Experience developing enterprise data and analytics solutions in a collaborative healthcare environment.
Skills
- Data/Information Management
- SQL
- SSIS
- DataStage
- Github
- Databricks
- Azure Data Factory
- Epic
- Analytics
- Reporting
- Data Warehousing
- ETL Workflows
- Data Integration
- Data Governance
- Business Intelligence
Location
- Onsite (rotational or alternative basis)
Work Type
- Onsite
- Full-time
Experience Level
- Seasoned
- Experienced
Salary/Compensations
- Subject to negotiation with the appropriate union
Benefits
- Subject to negotiation with the appropriate union
About the Company
- The Enterprise Information and Analytics Health Operations team operates to stay abreast of current and emerging data management technologies and trends and advice on how they can be used to support business and technology objectives.
- The Data Engineer will analyze and create information assets that support UCSF Core Services within Health Operations while also contributing to broader Enterprise Information Analytics initiatives across Adult, Benioff Children's Hospitals, Ambulatory, and Network domains.
- At UCSF, collaboration and innovation are at the heart of our mission — in our hospitals and clinics, classrooms, labs, and offices.
- As a preeminent health sciences campus and health system, the University of California, San Francisco (UCSF) is at the forefront of creating new knowledge from the exploding volume of clinical, discovery, and education data that it creates and manages.
- UCSF believes that the ability to leverage these data assets is an important differentiator for an academic healthcare center and is critical to our drive toward Precision Medicine and the execution of key UCSF strategies for the Clinical Enterprise.
- The Enterprise Analytics Information – Health Operations department functions as the liaison between the customer or partners in the organization and technical resources to provide optimal analytic solutions to solve problems, answer questions, deliver insights, and meet the needs of our customers.
- The University of California San Francisco (UCSF) Department of Information Technology is seeking a qualified individual to lead the design, analysis, presentation and dissemination of data, information, and knowledge critical to the performance of UCSF enterprise wide.
- Enterprise Information Analytics vision is advancing UCSF’s ability to care, heal, teach, and discover by providing ubiquitous access to relevant and high-quality information and analytics.
- 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.
- UCSF is a diverse community made of people with many skills and talents.
- 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.
Equal Opportunity
- 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.