Product Analytics Specialist

St. Jude Children's Research Hospital; United States; Remote; USD 85,000 - 115,000; Full time

Benefits offered by this job

Core Medical Coverage

401K Retirement Plan

Paid Time Off

Maternity / Paternity Leave

Education Assistance

Learning & Development

Job summary

St. Jude Children’s Research Hospital is seeking an experienced Digital Analytics Specialist to design, develop, and monitor data models and metrics across their digital product portfolio.

You will translate insights from Adobe Analytics and other data sources into actionable strategies for revenue, reach, and engagement. Ideal candidates have strong communications, experience in tagging, data visualization (Tableau), and a solid foundation in statistics and ML concepts.

Qualifications

• Bachelor's degree with 6+ years of experience in digital analytics.
• Experience with Adobe Analytics and digital data domain.
• Ability to translate data into actionable insights for product and marketing strategies.

Responsibilities

• Support the implementation and maintenance of digital analytics tools (GA, Adobe Analytics, DTM).
• Collaborate with business analysts to define requirements and documentation.
• Develop data visualizations to communicate digital performance against objectives.
• Create, test, and refine tagging and data collection across web properties.
• Lead analytic standards, training, and best practices across teams.
• Design experiments and analytic plans for data modeling and testing.

Skills

Adobe Analytics

Digital Data

SQL

Excel

Data storytelling

Statistical modeling

Machine learning

Tag management

Education

Bachelor's Degree

Tools

Tableau

Adobe Launch

Job description

St. Jude Children’s Research Hospital is seeking an experienced Digital Analytics Specialist to design, develop, and monitor data models and metrics across their digital product portfolio.

You will translate insights from Adobe Analytics and other data sources into actionable strategies for revenue, reach, and engagement. Ideal candidates have strong communications, experience in tagging, data visualization (Tableau), and a solid foundation in statistics and ML concepts.