
1001 - 5000 employees
🏥 Healthcare
🤲 Charity
🤝 Non-profit
Healthcare • Charity • Non-profit
St. Jude Children's Research Hospital - ALSAC is a not-for-profit pediatric research hospital and its fundraising arm (ALSAC) focused on understanding, treating, and defeating childhood cancer and other life-threatening pediatric diseases. St. Jude provides clinical care (with a stated policy that families never receive a bill), conducts basic and clinical research, runs clinical trials and global research initiatives, trains clinicians and researchers, and operates extensive fundraising, donor services, events, and awareness programs to support its mission. The organization is a 501(c)(3) charity with public donation, volunteering, and fundraising activities.
🔥 3 minutes ago
🏛️ District of Columbia, Illinois, +4 more states – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
👻 Ghost score 10%
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1001 - 5000 employees
🏥 Healthcare
🤲 Charity
🤝 Non-profit
Healthcare • Charity • Non-profit
St. Jude Children's Research Hospital - ALSAC is a not-for-profit pediatric research hospital and its fundraising arm (ALSAC) focused on understanding, treating, and defeating childhood cancer and other life-threatening pediatric diseases. St. Jude provides clinical care (with a stated policy that families never receive a bill), conducts basic and clinical research, runs clinical trials and global research initiatives, trains clinicians and researchers, and operates extensive fundraising, donor services, events, and awareness programs to support its mission. The organization is a 501(c)(3) charity with public donation, volunteering, and fundraising activities.
• 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
• 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
• 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
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