Senior Analyst, Data Analytics, Program Operations and Analytics

Edwards Lifesciences • Irvine, CA

1d • $92,000 - $130,000 • Onsite

About The Position

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. Aortic stenosis impacts millions of people globally, yet it often remains under-diagnosed and under-treated. Edwards’ groundbreaking work in transcatheter aortic heart valve replacement (TAVR) pioneered an innovative, life-changing solution for patients by offering heart valve replacement without the need for open heart surgery. Our Transcatheter Heart Valve (THV) business unit continues to partner with cardiologists and clinical teams to transform patient care with devices supported by clinical evidence. It’s our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey. This role is on-site full time in Irvine, California. How you'll make an impact: The Senior Analyst, Data Analytics works in the THV Program Operations and Analytics team within the PMO organization. The Senior Analyst manages end‑to‑end data pipelines and analytical models to deliver trusted, scalable analytics and reporting for portfolio, project, resource, and finance stakeholders. The role translates business needs into data requirements, builds automated ETL and semantic models, and advances organizational data maturity through strong data governance, quality, and standardization in support of operational execution.

Requirements

• Bachelor's Degree in related field and 5 years of experience or equivalent work experience based on Edwards criteria

Nice To Haves

• Master's Degree or equivalent in related field and 3 years of experience or equivalent work experience based on Edwards criteria
• Technical Skills Strong SQL skills and experience building automated data pipelines, including ETL/ELT development, Dataflow Gen2, and ingestion from enterprise systems such as PPM.
• Proficiency in Power BI, including semantic modeling, DAX, star schema design, and applying row‑level security (RLS).
• Ability to design, maintain, and enhance scalable data models, dashboards, and analytics solutions across disparate data sources.
• Familiarity with database‑centric applications and integrating data from multiple operational systems.
• Analytics & Problem Solving Ability to develop, analyze, and validate analytical or statistical models to support business decision‑making.
• Strong analytical thinking with the ability to translate business questions into data requirements, data models, and reporting solutions.
• Business & Communication Skills Strong project management capabilities, including documenting data flows, business processes, and analytical requirements.
• Excellent written and verbal communication skills, with the ability to clearly present complex findings to stakeholders and leaders across the organization.
• Strong interpersonal and stakeholder management skills with the ability to influence, partner cross‑functionally, and drive achievement of objectives.
• Data Governance & Quality Knowledge of data governance principles, including stewardship, data quality monitoring, standardization, and issue resolution.
• Understanding of master data management concepts including domain/entity definitions, golden records (single source of truth), data matching, and data enrichment.
• Commitment to maintaining data integrity through structured validation, adherence to processes, and continuous quality improvement.

Responsibilities

• Manage the complete data pipeline, from data intake, validation, mining, modeling, visualization, and reporting to end-user BI tools (e.g., Power BI).
• Partner with team to develop new analyses; collaborate with and influence stakeholders/leadership through fact-based analyses, drive change, and develop solutions, with continued enhancements.
• Design, develop, deploy, maintain, and enhance star-schema and semantic data models to support dashboards, reporting, and advanced analytics.
• Work with PPM tool to support and identify incremental tables for reporting. Update ingestion to include new tables, update semantic model, update reports as requested by stakeholders.
• Effective communication and listening skills to understand stakeholder needs and effectively problem solve to deliver and communicate complex analytical findings clearly and concisely.
• Perform validation and testing of models to ensure adequacy and determine need for reformulation.
• Build and maintain automated ETL processes to ensure consistent, scalable, and high-quality data delivery.
• Partner with stakeholders to monitor and improve data quality through structured validation, governance, and standardization activities.
• Other incidental duties.

Benefits

• Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level