Healthcare BI Analyst: Epic & EHR Analytics Lead

University of California - San Francisco; San Francisco (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

The University of California - San Francisco is hiring a Business Intelligence Analyst (BIA) responsible for clinical informatics and EHR reporting. In this role, you will analyze and address complex reporting needs, collaborating with clinical leaders.

The ideal candidate should possess 5–7 years of experience, expertise in EHR applications, SQL proficiency, and strong problem-resolution skills. You will be involved in developing data analytics solutions across various systems while ensuring effective communication and training for users.

Qualifications

• 5–7 years of related experience.
• Expertise on Epic Clarity and Caboodle data structures.
• Advanced problem-resolution skills for highly complex issues.

Responsibilities

• Collaborate with clinical leaders to plan and analyze clinical informatics systems.
• Develop high-quality data and analytics solutions for EHR.
• Design and execute SQL queries for complex medical data access.

Skills

EHR application expertise

SQL proficiency

Data visualization (Tableau)

Analytical skills

Project management

Interpersonal communication

Education

Bachelor’s degree in health care information technology, computer science, or related field

Master’s degree or doctorate in computer science or related area (preferred)

Tools

EPIC reporting tools (reporting workbench, radar, slicerdicer, crystal reports)

SAP Universe

Tableau Desktop

Job description

The University of California - San Francisco is hiring a Business Intelligence Analyst (BIA) responsible for clinical informatics and EHR reporting. In this role, you will analyze and address complex reporting needs, collaborating with clinical leaders.

The ideal candidate should possess 5–7 years of experience, expertise in EHR applications, SQL proficiency, and strong problem-resolution skills. You will be involved in developing data analytics solutions across various systems while ensuring effective communication and training for users.