Financial Data Analyst, Augmedix

We are looking for a Financial Data Analyst who will be responsible for validating the accurate ingestion of revenue transaction reports from various EHR systems into our financial databases. The ideal candidate will have a strong background in quality assurance, data analysis, and a solid understanding of EHR systems and healthcare revenue cycles. What You'll Do 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. What You Have Bachelors degree in Information Systems, Computer Science, Mathematics, Healthcare Informatics, or related field. Minimum of 3 years 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 (e.g., 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)