Senior Data Analytics Lead - Heart Health Marketing

Edwards Lifesciences Gruppe; Irvine (CA); On-site; USD 139,000 - 196,000; Full time

Job summary

Edwards Lifesciences in California seeks a seasoned marketing analytics leader to shape data-driven strategy. You will collaborate with cross-functional teams to craft predictive models, optimize budgeting, and present insights to senior leaders.

The role focuses on BI, analytics, and stakeholder-facing outputs to improve patient care and business results. The position emphasizes advanced ML techniques, data visualization, and close partnership with clinical and commercial teams to deliver

Qualifications

• Bachelor's degree in a related field with extensive experience or equivalent; required.
• Master's degree in related field with 8+ years of experience; preferred/required.
• Experience architecting, developing and deploying BI, analytics and reporting solutions for internal and external stakeholders.

Responsibilities

• Participate in high-level strategic problem-solving with cross-functional teams and stakeholders.
• Apply predictive modeling and algorithms to data sets to optimize marketing strategy and budget.
• Provide reporting and analysis to translate models into clear recommendations for leadership.
• Partner with stakeholders across functions to ensure project success.
• Identify market inefficiencies and develop programs and solutions.
• Assess data sources to influence data acquisition strategy.

Skills

Predictive modeling

Data analysis

SQL

Python

R

Tableau

Machine learning

Communication

Stakeholder management

Education

Bachelor's Degree

Master's Degree

Tools

Oracle

JDE

Concur

Salesforce

Redshift

S3

Spark

Job description

Edwards Lifesciences in California seeks a seasoned marketing analytics leader to shape data-driven strategy. You will collaborate with cross-functional teams to craft predictive models, optimize budgeting, and present insights to senior leaders.

The role focuses on BI, analytics, and stakeholder-facing outputs to improve patient care and business results. The position emphasizes advanced ML techniques, data visualization, and close partnership with clinical and commercial teams to deliver