Senior Data Analyst
Natera
AWSETLPythonSQLTableau
Job Level
Junior
Tech Stack
SQLTableau
About the role
- Validate that revenue transaction reports are accurately ingested from EHR systems.
- Perform detailed data comparisons between source EHR data and ingested data.
- Develop and execute test plans, test cases, and test scripts for data ingestion processes.
- Identify, document, and track data discrepancies and defects.
- Apply mathematical principles to assess data accuracy and financial calculations.
- Ensure numerical data integrity in financial reports and transactions.
- Collaborate with the development team to improve data ingestion processes.
- Recommend enhancements to QA methodologies and tools.
- Maintain comprehensive documentation of QA activities, test results, data mappings, and calculations.
- Prepare reports summarising QA findings and present them to stakeholders.
- Work closely with IT, finance, and operations teams to ensure data integrity.
- Participate in meetings to discuss QA results and coordinate remediation efforts.
- Ensure all data handling complies with HIPAA and other regulatory requirements.
- Stay updated on industry best practices related to data quality and EHR systems.
Requirements
- Bachelor’s 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 (HIPAA).
- Advanced proficiency in Microsoft Excel, including VLOOKUP, pivot tables, macros, and data analysis tools.
- Experience with complex data modeling and automation is a 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.
- Proficiency with databases and SQL; ability to research and manipulate large datasets.
- Strong communication skills to convey complex data insights to diverse stakeholders.
- Willingness to work India night shifts (US Day shift EST to PST time zones).
