Product Analytics Lead - Digital Insights & Optimization

ALSAC/St. Jude Children's Research Hospital

United States

On-site

USD 90,000 - 120,000

Full time

6 days ago

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Benefits offered by this job

Medical Coverage

401K Plan

PTO

Maternity Leave

Infertility Program

Adoption Assistance

Education Assistance

Learning & Development

Job summary

ALSAC is seeking a data analytics professional to design, develop, and implement data models with statistical and ML expertise. You will monitor metrics for product initiatives, analyze data for revenue, reach, and engagement, and mentor entry-level analysts in a fast-paced environment.

Strong communication is essential to translate insights into strategy; experience with tagging, data visualization, and analytics tools is required.

Qualifications

Bachelor's Degree and 6+ years' 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 into performance stories.
Proficiency with Excel or similar spreadsheet tools for analysis, validation, and reporting.
Self-motivated with ability to handle large data sets across multiple sources.
Experience in website tagging and conversion path tracking; SQL knowledge a plus.
Experience using analytics tools to drive business decisions and understanding of tagging structures.
Ability to develop experimental/analytic plans for data modeling and A/B testing concepts.

Responsibilities

Support the implementation and maintenance of Digital analytics tools for new/existing applications.
Define requirements and maintain documentation through SDR.
Implement Digital Analytics and Insights best practices across all Products.
Develop, customize, and troubleshoot events and tags using JavaScript, XML, HTML, CSS.
Implement analytics tracking code and assist in QA to ensure tagging across web properties.
Design data visualizations to communicate digital performance per objectives.
Coordinate with Product and digital marketing for metric definition and analysis.
Establish analytics standards, best practices, and training across teams.
Identify methods to improve analytics front-end implementation and data collection issues.