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.<br><br>Responsibilities:<br>• Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement.<br>• Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms.<br>• Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions.<br>• Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks.<br>• Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting.<br>• Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions.<br>• Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies.<br>• Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards.<br>• Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.

• Experience in data analysis within a healthcare environment, preferably supporting operational or financial reporting needs.<br>• Hands-on knowledge of Azure Databricks, Databricks, ETL development, and Azure SQL Database.<br>• Strong SQL skills, including experience working with SSMS and complex data processing tasks.<br>• Familiarity with healthcare data sources such as EHR or EMR systems, including Epic software and hospital billing data.<br>• Proven ability to monitor and improve data quality through validation, troubleshooting, and reconciliation practices.<br>• Understanding of data integration methods across cloud and on-premises systems, including exposure to AWS technologies.<br>• Ability to interpret business requirements and communicate analytical findings clearly to cross-functional teams.

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