Senior Clinical Operations Business Intelligence Analyst

About the role

The Senior Analyst of Clinical Operations Business Intelligence (COBI) leads knowledge management efforts to redesign care processes to optimize value (improve outcomes, patient satisfaction and reduce cost). This role provides strategic oversight for the development and governance of analytics dashboards that provide a single source of truth for reliable, meaningful and actionable insights.

Responsibilities

• Lead the design, development and optimization of 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 advanced 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 complex 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.
• Oversee development, automation and governance of reporting frameworks and executive presentations, ensuring data quality, standardization, and scalability
• Develops collaborative relationships with physicians, administrative leaders and frontline staff to aid in their understanding of data and plan improvements to clinical operations.
• Performs duties including some or all of the following:
• Lead 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
• Lead, mentor, and review team deliverables to ensure high-quality outputs, adherence to best practices, and alignment with clinical, operational, and organizational priorities
• 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
• Crafts and executes strategies to improve the efficiency and effectiveness of clinical operations
• 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
• Performs data collection and/or entry processes. Recommends, utilizes and enhances methods and procedures for data acquisition, management and quality control, as needed
• Applies advanced statistical modeling, predictive analytics, and data science techniques for data analysis, as needed
• Resolves complex problems, answers questions and provides information to facilitate process
• Uses standard statistical analysis software, as needed

Requirements

• Req Bachelor’s Degree Degree in engineering, computer engineering, or data science
• Req 3-5 years experience in business/ data analytics, healthcare analytics, healthcare quality, clinical and operations decision support or related field.
• Req 1 - 2 years in a lead/senior role.
• 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.
• Adept at presenting technical materials to a non-technical audiences, applying human factors principles and user centered design principles, understanding user workflows, applying statistical methods latforms such as Qlikview and Tableau

Qualifications

• Req Master’s degree Degree (Health Administration, Nursing, Industrial Engineering, Analytics)
• Req Expertise in data science, including machine learning approaches to produce predictive models;
• Req Proficiency in statistical approaches;
• Req Master level expertise in data visualization platforms such as Qlikview and Tableau

Preferred Qualifications

• Pref Master’s degree Degree (Health Administration, Nursing, Industrial Engineering, Analytics)
• Pref Expertise in data science, including machine learning approaches to produce predictive models;
• Pref Proficiency in statistical approaches;
• Pref Master level expertise in data visualization platforms such as Qlikview and Tableau

Required Licenses/Certifications

• Req Fire Life Safety Training (LA City)