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We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting.
Job Responsibility
Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement
Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms
Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions
Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks
Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting
Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions
Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies
Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards
Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows
Requirements
Experience in data analysis within a healthcare environment, preferably supporting operational or financial reporting needs
Hands-on knowledge of Azure Databricks, Databricks, ETL development, and Azure SQL Database
Strong SQL skills, including experience working with SSMS and complex data processing tasks
Familiarity with healthcare data sources such as EHR or EMR systems, including Epic software and hospital billing data
Proven ability to monitor and improve data quality through validation, troubleshooting, and reconciliation practices
Understanding of data integration methods across cloud and on-premises systems, including exposure to AWS technologies
Ability to interpret business requirements and communicate analytical findings clearly to cross-functional teams
What we offer
Medical, vision, dental, and life and disability insurance