• Perform manual visual review of medical imaging studies using approved DICOM viewers • Validate imaging studies against client-specific acceptance criteria, including: • Modality and series accuracy • Anatomical coverage and completeness • Image usability and acquisition artifacts • Confirm required images and series are present and properly structured • Verify that no Protected Health Information (PHI) is present in imaging data prior to delivery, including: • Burned-in text or annotations • Overlays and image corners • Confirm imaging data has been properly de-identified according to Avandra standards • Identify, flag, and escalate suspected PHI exposure or de-identification failures • Document review outcomes using Avandra QA workflows and tools • Apply standardized pass, fail, or needs-review determinations • Maintain clear, auditable records of quality and privacy reviews • Participate in calibration and training sessions to maintain review consistency • Provide feedback to improve automated quality and de-identification checks • Collaborate with Imaging Operations and Engineering teams as needed

• Reviewing potentially harmful online activity flagged by AI • Managing emergency protocols and communication with school districts • Actively monitoring the online alert queue • Maintaining meticulous records in support software

• Conduct thorough quality assessments of healthcare claims data, focusing on identifying overpayments through data mining techniques. • Develop, implement, and execute quality assurance plans and test cases specific to healthcare claims data mining. • Collaborate with data analysts and business partners to analyze claims data for potential overpayments and ensure compliance with client policies. • Identify and document any discrepancies or anomalies in claims data, coordinating with cross-functional teams for resolution. • Conduct root cause analysis on detected overpayments and develop reports summarizing findings and recommendations for process improvements. • Monitor and evaluate data mining processes, providing innovative solutions to enhance data accuracy and quality assurance in healthcare claims. • Prepare and present detailed quality assurance reports and metrics to stakeholders, highlighting trends and areas for improvement. • Foster strong working relationships with various business partners, ensuring effective communication and collaboration on claims data integrity initiatives.

• Analyse commercial data to provide insights on revenue trends, product performance, and client profitability • Support pricing, forecasting, and commercial modelling to inform sales and partnership negotiations • Develop dashboards, reports, and models that support strategic decision-making at executive level • Partner with Finance on budgeting, forecasting, and month-end performance analysis • Identify commercial risks and opportunities across client, market, and product portfolios • Provide ad hoc analysis and business cases for new growth initiatives, product launches, or market entry opportunities • Continuously improve the use of data and analytics tools to drive commercial decision-making