PythonSQLTableauAnalyticsBIPower BISnowflakeLeadershipDecision Making
About this role
Role Overview
Responsible for assembling, analyzing, summarizing, and synthesizing internal and external clinical and operational data sets from hospitals or health care systems, payors and other key health care clients
Supports 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
Provides quantitative and qualitative analysis related to growth, innovation and operational initiatives
Develops, models, analyzes, and tracks impact of these initiatives for SCP Health
Serves as primary analytics liaison with our health plan partners
Creates and maintains databases to track business performance, including pertinent data tables and registries
Analyzes data and summarizes performance using summary statistical procedures
Develops and analyzes business performance reports (e.g. for claims data, provider data, utilization data) and provides notations of performance deviations and anomalies
Manages 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
Systematically/independently identifies critical trends and communicates them proactively to the Innovation leadership team
Requirements
Bachelor's Degree (required), preferably in a quantitative field such as finance, economics, statistics, mathematics, engineering, computer science
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 (Python/Snowflake/SQL) is required
Experience with BI Toolsets such as Strategy, Tableau, Sigma or Power BI, is 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.)