Value-Based Care Performance Analyst

Responsibilities

• Assemble, analyze, summarize, and synthesize internal and external clinical and operational data sets from hospitals or health care systems, payors and other key health care clients.
• Support executive clinical leadership with needed data, analytics, and reports using both national data sets and SCP data sets to improve clinical performance, improve process and optimize value.
• Provide quantitative and qualitative analysis related to growth, innovation and operational initiatives.
• Develop, model, analyze, and track impact of these initiatives for SCP Health.
• Serve as primary analytics liaison with our health plan partners.
• Create and maintain databases to track business performance, including pertinent data tables and registries.
• Analyze data and summarize performance using summary statistical procedures.
• Create and analyze business performance reports (e.g. for claims data, provider data, utilization data) and provide notations of performance deviations and anomalies.
• Manage recurring reports (daily/weekly/monthly/etc.) as needed and reporting tools (i.e. dashboards) to ensure stakeholders have robust, timely, and accurate data to drive strategic decision making and monitor departmental performance.
• Identify critical trends and communicate them proactively to the Innovation leadership team, developing additional reports/tools to support further analysis as needed.
• Assist with design, implementation, execution, and scaling of platforms & analytical tools.
• Maintain and model implemented initiatives for the purposes of monitoring performance and supporting negotiations as well as internal operations.
• Maintain a working knowledge of departmental/division/enterprise/industry strategic priorities to inform and focus their analysis.
• Analyze medical, lab/pharmacy data to identify trends, pinpoint issues/areas for improvement, and recommend solutions and alternatives.
• Monitor the accuracy, completeness and validity of reporting prior to distribution and ensure the integrity of data through ongoing analysis.

Requirements

• Able to build trust and confidence with the utmost integrity.
• Experience working with large data repositories and/or relational databases.
• Experienced in both verbal and written communication with senior leadership, executives, operations teams, and external stakeholders.
• Experience developing and presenting analysis and recommendations to cross-functional stakeholders, including c-suite.
• Knowledge of healthcare concepts and experience with modeling, structuring and/or measuring operational, innovative or risk-based initiatives preferred.
• Strong financial modeling skills with advanced Microsoft Excel proficiency.
• Possess and maintain other computer skills including Word, Outlook, Excel, and PowerPoint, and ability to learn other software as needed.
• Knowledge of key quality and clinical metrics for healthcare providers.
• Entrepreneurial spirit with ability to thrive in a fast-paced environment.
• Intellectual curiosity with passion for healthcare and helping people live healthier lives.
• Excellent problem-solving skills and demonstrated analytical abilities.
• The ability to work both independently and within teams.
• Highly self-motivated and directed with a strong sense of curiosity and intellectual integrity.
• Comfortable in a myriad of matrix relationships and accountabilities.

Qualifications

• 4-6 years of experience in analytical role, with some experience in the healthcare industry.
• Knowledge of the healthcare industry including billing and claims, medical coding, payer/provider relations, contracting processes, fee schedules and reimbursement methodologies a plus.
• Experience with relational databases and knowledge of query tools and statistical software is required (Python/Snowflake/SQL).
• Experience with BI Toolsets such as Strategy, Tableau, Sigma or Power BI, helpful.
• Experience with enterprise data warehouse sources.
• Experience with receiving, analyzing, and interpreting external data sets (publicly available data, proprietary data from other approved sources, etc.).