Analyst III – Product Analytics (Adobe Analytics)

ALSAC • Washington, DC

1d • Onsite

About The Position

At ALSAC, you do more than make a living; you make a difference. As one of the world’s most iconic and respected nonprofits, we are looking for individuals whose background, perspective, and desire to make an impact set them apart. We are dedicated to helping St. Jude cure childhood cancer and are seeking game-changers, innovators, and visionaries to join our family. We develop and celebrate our employees, encouraging you to bring your whole, authentic self to our shared mission: Finding cures. Saving children.®

This role is responsible for designing, developing, and implementing data models with Statistical and Machine learning expertise. The position involves specifying, monitoring, gathering, analyzing, and reporting on all metrics related to Product initiatives, including revenue, reach, and engagement metrics such as conversion rates and web behavior for the entire digital Product portfolio. Additionally, the role requires Data Mining and Analysis from organization databases to drive optimization and improvement of product development, marketing techniques, and business strategies. To be successful, you must be able to work effectively in a fluid, fast-paced environment, maintain good communication with management and team members, and mentor entry-level analysts. Strong communication skills, including proven writing/editing ability, are a must.

Requirements

• 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.
• Demonstrated experience using the tools to drive business decisions, as well as a deep understanding of the underlying technology (tagging structure, set-up, and functional capabilities).
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations.
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets, etc.
• Track record of diving into data to discover hidden patterns and of 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, including the ability to read analytics requirements and support validation through browser developer tools.

Nice To Haves

• Experience in website tagging and conversion path/journey tracking, as well as, building data queries in SQL.
• Advanced implementation coding is not required.

Responsibilities

• Support the implementation and maintenance of Digital analytics tools (Google Analytics, Adobe Analytics, Tag Management System - DTM) for new/existing applications.
• Work closely with business analysts to define implementation requirements, Functional/Tagging Specification Documents and maintain documentation through Adobe Analytics SDR (Solutions Design Reference).
• Implement Digital Analytics and Insights best practices across all Products.
• Develop, customize, and troubleshoot events and tags in complex environments with the use of JavaScript, XML, HTML and CSS.
• Implement analytics tracking code and assist in quality assurance to ensure tagging functionality across all web properties.
• Design and develop data visualizations using data viz tools (Tableau, etc.), to communicate and demonstrate digital performance per established objectives and best practices.
• Coordinate with Product and digital marketing teams for appropriate definition of and ongoing analysis of metrics, including ensuring tagging and taxonomy are implemented correctly and are being adhered to in order to meet analytic needs.
• Lead the way in establishing and supporting analytic standards, best practices, and testing strategies working cross-functionally with a variety of interactive subject matter experts and business stakeholders.
• Educate teams on web analytics best practices and toolsets through the development of training materials, standards documentation, and take lead in the coordination/facilitation of regular training sessions with various analytics user groups.
• Identify methods to improve the digital analytics front-end implementation based on internal and external data.
• Identify online data collection issues and work with development and product teams for resolution.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level