Data Operation Analyst

Data Verification:

• Validate that revenue transaction reports are accurately ingested from EHR systems.
• Perform detailed data comparisons between source EHR data and ingested data

Quality Assurance Testing:

• Develop and execute test plans, test cases, and test scripts for data ingestion processes.
• Identify, document, and track data discrepancies and defects.

Mathematical Analysis:

• Apply basic mathematical principles to assess data accuracy and financial calculations.
• Ensure numerical data integrity in financial reports and transactions.

Process Improvement:

• Collaborate with the development team to improve data ingestion processes.
• Recommend enhancements to QA methodologies and tools.

Documentation:

• Maintain comprehensive documentation of QA activities, test results, data mappings, and mathematical calculations.
• Prepare reports summarizing QA findings and present them to stakeholders.

Cross-Functional Collaboration:

• Work closely with IT, finance, and operations teams to ensure data integrity.
• Participate in meetings to discuss QA results and coordinate remediation efforts.

Compliance and Standards:

• Ensure all data handling complies with HIPAA and other regulatory requirements.
• Stay updated on industry best practices related to data quality and EHR systems.

• bachelors degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field.
• Minimum of 1 year of experience in quality assurance or data analysis.
• Familiarity with healthcare revenue cycle and financial reporting. Understanding of healthcare compliance standards and regulations.
• Advanced proficiency in Microsoft Excel, including advanced functions like VLOOKUP, pivot tables, macros, and data analysis tools. Experience with complex data modeling and automation is a huge plus
• Experience with data visualization tools (eg, Tableau, Power BI).
• Strong mathematical, statistical, and analytical skills to handle financial data.
• Experience with automated testing frameworks, QA tools and methodologies
• Effectively communicate complex data insights to diverse stakeholders in a clear, understandable, and actionable way.
• Possess experience with databases, including proficiency in SQL skills, and demonstrate the ability to research and manipulate complex, large datasets.
• Willing to work in India Night Shifts (US Day shift EST to PST time zones)