Clinical Operations Business Intelligence Analyst - Value Improvement Office - Full time 8 Hour Days (Exempt) (Non-Union)

The University of Southern California is seeking a Clinical Operations Business Intelligence Analyst to support clinical and administrative teams in improving healthcare value, patient outcomes, satisfaction, and operational efficiency. The role develops analytics dashboards, builds analytical models, supports structured improvement initiatives, manages data collection and analysis, and collaborates with clinical stakeholders to drive data-informed decisions and sustainable process improvements.

What you'll do:

• Design and develop knowledge on management tools based on business and clinical requirements to improve value aligning with organizational goals and objectives Develop solutions that embed and extract relevant patient information into and from health information systems, in order to provide effective communication that will support quality, process improvement, and operations initiatives as they relate to clinical care, program development, and training
• Applies engineering and data science principles and concepts in planning, coordinating and executing operational and research activities Provides data science expertise to support data-driven decision making Performs analysis to produce meaningful insights and actionable analysis to track clinical operations performance at all levels in the organization leveraging evidence-based benchmarking identified by key performance indicators. Socializes tools and initiatives across the health system. Provide cost modeling, capacity planning and other services related to daily operations and clinical program growth Updates and maintains various hospital reports and/or presentations by coordinating collection of information and data, as well as production of reports
• Develops collaborative relationships with physicians, administrative leaders and frontline staff to aid in their understanding of data and plan improvements to clinical operations
• Plans projects/tasks by creating detailed work plans with identified timelines/milestones and objectives/targets, aligning with allocated resources and organizational strategy
• Implements planned projects in consultation with appropriate leadership and identified stakeholders, ensuring all work is properly maintained and kept confidential when applicable
• Controls project by maintaining alignment with organizational policies/procedures and regulatory compliance standards
• Analyze and manage risks and issues associated with technical operations on all programs and medical technology project implementations
• Recommend and/or implement methods and techniques to address a variety of engineering, management, and regulatory requirements on the use of medical data
• Evaluates project by ensuring deliverables are on time, within budget, and at the required level of quality by tracking established process and outcome measure to targets
• Conducts assessments and collects data to support department initiatives. Audits compliance to new policy, protocols and practices
• Develops return on investment (ROI) formulas and calculations to measure project impact
• Attends promptly to the administrative details of the position including preparation of Performance Reports

What they're looking for:

• Req Bachelor's degree Degree in engineering, computer engineering, or data science
• Req 1 year Minimum 1-2 years of experience in business/ data analytics, healthcare analytics, healthcare quality, clinical and operations decision support or related field
• Req Working knowledge of back-end databases (e.g., relational designs) spreadsheets, word processing, statistical software, analytical models, data science principles and application, and data visualization programs (e.g., Tableau, Qlikview, Qliksense, Power BI)
• Req Knowledge of business (operational, clinical and financial) statistics and data analyses techniques
• Req Expert knowledge in Python, R, and/or SQL software programming
• Req Ability to manage, analyze, and derive clinical and operational insights from health system information technologies
• Req Strong analytical thinking and problem solving skills
• Req Demonstrated leadership capabilities, including but not limited to:
• Developing dynamic, constructive working relationships and partnerships with operational and clinical partners
• Excellent interpersonal skills (negotiation, listening and communication skills) characterized by effective interactions with a diverse range of internal and external constituents, stakeholders and audiences
• Relationship driven, consultative, a team player, able to effectively lead process improvement initiatives
• Possesses a good understanding of Business Intelligence tools, technology platform, and related systems to handle queries about clinical and business data/analytical solutions