Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs. Our Senior Analyst, Data Analytics position is a unique career opportunity that could be your next step towards an exciting future. This Senior Analyst plays a critical role in analyzing product complaint data to support Quality Compliance investigations, corrective actions, regulatory submissions, and continuous feedback to R&D for product improvement and innovation. This position ensures data accuracy and integrity through standardization, automation, data clean-up, and quality monitoring, while collaborating closely with cross-functional stakeholders. The role is key to transforming complex data into actionable insights that drive compliance, enhance product safety, and support global regulatory requirements. How you’ll make an impact: Identify appropriate categories of complaint data, summarize and perform complex analysis for custom ad hoc reports. Create customized reports to analyze complaint data utilized by Quality Compliance and other cross functional teams to ensure data integrity, recognize trends and/or anomalies and perform complex analysis. Develop monthly and quarterly complaint trend reports with the knowledge of multiple different statistical tools (e.g., Laney P, Laney U, G Chart, T-test). Prepare presentations for monthly and quarterly Quality meetings, and for distribution to regional regulatory affiliates and executive leadership. Aggregate data from different data sources (e.g., various PowerBi Reports, JDE, QMS) for the generation and distribution of weekly complaint and evaluation reports while ensuring data integrity. Troubleshoot discrepancies and delegate to the appropriate personnel for correction. Provide continuous process improvement in report analysis and trending methods. Develop tools to streamline complex data analysis processes. Create dashboards to enhance reporting efficiency. Identify issues and provide recommendations for process improvement. Partner with stakeholders to establish the single source of truth and govern data quality for complaint reporting by data standardization, data automation, data clean up, and data quality/monitoring. Other incidental duties.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees