Senior Manager, Data Analytics

Innovation starts from the heart. Heart valve disease impact millions of lives, spanning all ages and geographies. As communities globally address the opportunities and challenges of cardiovascular care, telling a compelling and authentic story is more crucial than ever. Beyond raising awareness, our Marketing teams build lasting, trusted relationships with medical professionals and industry stakeholders to ensure patients can receive the treatments they need.

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.

• Actively participate in high-level strategic problem-solving sessions with cross-functional teams and stakeholders. Present and communicate complex analytical findings to guide/influence senior leadership decision making
• Apply predictive modeling and algorithms to data sets to drive optimization of marketing strategy and budget including updating and ensuring algorithms are current
• Provide reporting and analysis to translate complex analytical models into clear, succinct recommendations to stakeholders and frame data in a manner that identifies key business implications
• Partner with and provide guidance to stakeholders across functions to ensure success of key projects
• Identify gaps in market inefficiencies and develop programs and solutions
• Identify and assess the value of data sources based on organizational need to influence data acquisition strategy.
• Other incidental duties

• Bachelor's Degree in in related field, 10 years of previous related experience or equivalent work experience based on Edwards criteria Required or
• Master's Degree or equivalent in related field with 8 years of previous related experience required and
• Experience in architecting, developing and deploying business intelligence, analytics and reporting solutions to internal and external stakeholders or equivalent work experience based on Edwards criteria Required

• Experience with machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks, etc.)
• Experience working within healthcare or equivalent work experience based on Edwards criteria Preferred
• Expert knowledge and understanding of principles, theories, and concepts relevant to Artificial Intelligence (AI) and/or Machine Learning model development, and/or Control Systems
• Experience using statistical computer languages (e.g, R, Python, SQL, etc.) to manipulate large data sets
• Experience in data visualization tools (i.e. Qlikview, Tableau, etc.)
• Experience with using web services (e.g., Redshift, S3, Spark, etc.)
• Advanced problem-solving, organizational, analytical and critical thinking skills
• Excellent documentation and communication skills
• Excellent interpersonal relationship skills including negotiating and relationship management skills
• Proven expertise in statistical techniques (e.g. distributions, statistical testing, regression, etc.)
• Proven expertise on MS Office Suite (e.g., Microsoft Office Excel, PowerPoint, Word, and Access)
• Working knowledge in related tools and applications (e.g., Oracle, JDE, Concur, ) preferred
• Excellent and successful project management skills
• Recognized…