Analyst III – Product Analytics, Adobe Analytics

St. Jude Children's Research Hospital - ALSAC

. Design, develop, and implement data models using statistical and machine learning expertise .

Posted 10/5/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in data modeling, statistical analysis, and machine learning to drive product development and marketing strategies. Proficient in digital analytics tools and methodologies, with a strong ability to translate complex data insights into actionable business decisions.

Highest-signal resume keywords

Adobe AnalyticsData ModelingStatistical AnalysisSQLDigital Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningMachine LearningData VisualizationWebsite TaggingJavaScriptHTMLCSSExcelA/B TestingStatistical Modeling

Soft Skills

Strong CommunicationIntellectual CuriosityMentoring

Tools & Technologies

Google AnalyticsAdobe AnalyticsTableauAdobe LaunchBrowser Developer Tools

Industry Keywords

Digital DataConversion TrackingEngagement MetricsPerformance DataData Standards

Tech Stack

Tools & technologies

JavaScriptSQLTableau

About the role

Key responsibilities & impact

Design, develop, and implement data models using statistical and machine learning expertise
Specify, monitor, gather, analyze, and report metrics for Product initiatives, including revenue, reach, engagement, conversion rates, and web behavior
Perform data mining and analysis from organizational databases to improve product development, marketing techniques, and business strategies
Support implementation and maintenance of digital analytics tools, including Google Analytics, Adobe Analytics, and DTM
Define implementation requirements and functional/tagging specification documents with business analysts
Maintain documentation through Adobe Analytics SDR (Solutions Design Reference)
Implement digital analytics and insights best practices across products
Develop, customize, and troubleshoot events and tags using JavaScript, XML, HTML, and CSS
Implement analytics tracking code and assist with quality assurance across web properties
Design and develop data visualizations using Tableau and similar tools
Coordinate with Product and digital marketing teams on metrics, tagging, and taxonomy
Establish and support analytic standards, best practices, and testing strategies cross-functionally
Educate teams through training materials, standards documentation, and regular analytics training sessions
Identify improvements to digital analytics front-end implementation using internal and external data
Identify online data collection issues and work with development and product teams to resolve them
Mentor entry-level analysts

Requirements

What you’ll need

Bachelor's Degree and 6+ year's experience
Experience with Adobe Analytics and Digital Data domain
Experience analyzing and developing actionable insights for digital products and experiences
Strong communication skills to translate data and insights into a performance data story that will inform strategy and optimization
Proficiency with Excel or similar spreadsheet tools for analysis, validation, and reporting
Self-motivated with strong intellectual curiosity; comfortable working with large data sets across multiple data sources
Experience in website tagging and conversion path/journey tracking
Building data queries in SQL is a plus
Demonstrated experience using analytics tools to drive business decisions
Deep understanding of tagging structure, set-up, and functional capabilities
Ability to develop experimental and analytic plans for data modeling processes
Ability to use strong baselines and accurately determine cause and effect relations
Understanding of statistical measures such as confidence intervals, significance of error measurements, and development and evaluation data sets
Track record of discovering hidden patterns in data and conducting error/deviation analysis
Experience with statistical modelling / machine learning
Foundational understanding of experimentation or A/B testing concepts, including hypotheses, success metrics, guardrails, and interpretation of results
Working knowledge of digital analytics measurement concepts, including events, dimensions, conversion, engagement, segmentation, persistence, attribution, baselines, and trend analysis
Working understanding of data layers and Adobe Launch or Tags
Ability to read analytics requirements and support validation through browser developer tools
Advanced implementation coding is not required

Benefits

Comp & perks

Core Medical Coverage: low cost, low deductible Medical, Dental, and Vison Insurance plans
401K Retirement Plan with 7% Employer Contribution
Exceptional Paid Time Off
Maternity / Paternity Leave
Infertility Treatment Program
Adoption Assistance
Education Assistance
Enterprise Learning and Development