Business Intelligence Analyst

The Business Intelligence Analyst (BIA) functions as the expert for clinical informatics, Electronic Health Record (EPIC) reports and data visualization tools. The BIA has expert knowledge on the EHR applications and applies superior ability to work with reporting and data analytics customers to understand, design and document complex reporting and analytics needs and are able to coordinate all issues that arise during the reporting and data analytics assignments and projects. The business intelligence developer will analyze problems often without precedent and/or existing structure within UCSF Health and Benioff Children's Hospitals, and address complex problems with an organization-wide scope. The BIA will perform data analysis using independent judgment and technical expertise. This position will support the delivery of outstanding patient care, operational performance, quality, and improvement efforts to help streamline processes and decision making with a focus on EHR reporting, data analysis and visualization for UCSF Health, Benioff Children's Hospitals and our affiliates. As part of the data analysis and reporting efforts, this position will focus on providing expertise across different data systems (All Epic EHR reporting tools, SQL, Tableau, etc.). This position also will be part of the clinical systems application teams to manage the analysis of data, evaluation of data, getting feedback from key stakeholders and using data to support the performance of our hospitals, clinics, staff, programs, and operations.

Attention to detail and strong communication are critical skills for this position. Works to help other users learn and adopt the development standards and enjoys helping users enhance their data visualization and reporting skills. Requires strong EHR application knowledge and technical skills, and expert analytical abilities in the areas of data extraction, report generation, and information visualization, including but not limited to all EHR Epic reporting tools, reporting workbench, radar, SlicerDicer, SQL server and tableau. The BIA might also develop user training aids and train end users in the use of reports & reporting functions & tools.

Department Description:

Enterprise Information and Analytics (EIA) advances UCSF's institutional priorities by enhancing access to and the use of data and analytics, including appropriate data platforms and data governance, in a manner that meets the unique needs across the education, research, and care mission areas.

%

of time

Essential Function (Yes/No )

Key Responsibilities

(To be completed by Supervisor)

5

25

Serves as a an EHR application and analytics technical leader in collaborating with business operations, healthcare clinicians, and IT applications and technical teams at Benioff Childrens Hospitals and UCSF Health to translate operations workflow and patient experience objectives into technical requirements. Communicates clearly and effectively to others using all communication forms. Develops and maintains good working relationships with customers and teams with whom they work with.

30

20

20

100%

REQUIRED QUALIFICATIONS

• Bachelor's degree in health care information technology, computer science, or related area, and/or equivalent combination of experience/training.
• 5 - 7 years of related experience.
• CERTIFICATION: Epic Clarity Data Model Fundamentals
• May be responsible for leading/mentoring other developers within the team
• Expertise on EHR application(s) and a good working knowledge of how the application(s) collect and store data.
• Expertise on epic clarity and caboodle data structures, with the ability to independently analyze new data models to support analytic and data needs of customers
• High proficiency with EHR reporting tools, SQL, as well as in the use of business intelligence tools such as SAP universe, web intelligence and crystal reports. Ability to perform complex data analysis with large volumes of data.
• Prior experience developing self-service analytic tools utilizing slicerdicer, tableau desktop and/or Tableau Server
• Advanced organizational and project management skills, with the ability to lead a team, prioritize tasks, and see projects through from inception to completion on schedule.
• Advanced interpersonal communications skills, to convey highly technical information and instructions to all levels of clinical users in a clear and concise manner, to provide technical support, and to develop and deliver training materials as needed.
• Ability to apply advanced problem-resolution skills to highly complex issues, quickly diagnose problems, and develop, test, and implement appropriate and effective solutions in a timely manner.
• Advanced analytical skills and expertise in documentation and reporting, with the ability to apply metrics, design and run queries, collect and analyze performance data, and produce sophisticated reports and analyses for management use.
• Advanced ability to serve as a technical leader and information resource, and to work collaboratively with senior staff and management across departments, providing advice, counsel, and analysis on issues of policy, functionality, system efficiency, upgrades, business analytics, and industry advances and trends.

REQUIRED CERTIFICATION

• Epic Clarity Data Model Fundamentals

PREFERRED QUALIFICATIONS

• Master's degree or doctorate in computer science or a related area
• Having an in-depth understanding of both the clinical and business workflows to achieve strategic outcomes for the implementation
• CERTIFICATION:
• Epic Cogito Fundamentals
• Access / Clinical / Revenue Data Model

REQUIRED QUALIFICATIONS

• Bachelor's degree in health care information technology, computer science, or related area, and/or equivalent combination of experience/training.
• 5 - 7 years of related experience.
• CERTIFICATION: Epic Clarity Data Model Fundamentals
• May be responsible for leading/mentoring other developers within the team
• Expertise on EHR application(s) and a good working knowledge of how the application(s) collect and store data.
• Expertise on epic clarity and caboodle data structures, with the ability to independently analyze new data models to support analytic and data needs of customers
• High proficiency with EHR reporting tools, SQL, as well as in the use of business intelligence tools such as SAP universe, web intelligence and crystal reports. Ability to perform complex data analysis with large volumes of data.
• Prior experience developing self-service analytic tools utilizing slicerdicer, tableau desktop and/or Tableau Server
• Advanced organizational and project management skills, with the ability to lead a team, prioritize tasks, and see projects through from inception to completion on schedule.
• Advanced interpersonal communications skills, to convey highly technical information and instructions to all levels of clinical users in a clear and concise manner, to provide technical support, and to develop and deliver training materials as needed.
• Ability to apply advanced problem-resolution skills to highly complex issues, quickly diagnose problems, and develop, test, and implement appropriate and effective solutions in a timely manner.
• Advanced analytical skills and expertise in documentation and reporting, with the ability to apply metrics, design and run queries, collect and analyze performance data, and produce sophisticated reports and analyses for management use.
• Advanced ability to serve as a technical leader and information resource, and to work collaboratively with senior staff and management across departments, providing advice, counsel, and analysis on issues of policy, functionality, system efficiency, upgrades, business analytics, and industry advances and trends.

REQUIRED CERTIFICATION

• Epic Clarity Data Model Fundamentals

PREFERRED QUALIFICATIONS

• Master's degree or doctorate in computer science or a related area
• Having an in-depth understanding of both the clinical and business workflows to achieve strategic outcomes for the implementation
• CERTIFICATION:
• Epic Cogito Fundamentals
• Access / Clinical / Revenue Data Model