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Responsible for designing, developing, and implementing data models with Statistical and Machine learning expertise. Responsible for specifying, monitoring, gathering, analyzing, and reporting all metrics related to Product initiatives including revenue, reach, and engagement metrics such as conversion rates, web behavior, etc. for the entire digital Product portfolio. Responsible for Data Mining and Analysis from organization databases to drive optimization and improvement of product development, marketing techniques and business strategies.
To be successful in this role you must be able to work effectively in a fluid, fast-paced environment while maintaining good communication with management and team members and be able to mentor entry level analysts. Strong communications skills, including proven writing/editing ability a must.
ESSENTIAL JOB FUNCTIONS
1. Support the implementation and maintenance of Digital analytics tools (Google Analytics, Adobe Analytics, Tag Management System - DTM) for the new/existing applications.
2. Work closely with business analysts to define implementation requirements, Functional/Tagging Specification Documents and maintain documentation through Adobe Analytics SDR (Solutions Design Reference).
3. Implement Digital Analytics and Insights best practices across all Products.
4. Develop, customize, and troubleshoot events and tags in complex environments with the use of JavaScript, XML, HTML and CSS.
5. Implement analytics tracking code and assist in quality assurance to ensure tagging functionality across all web properties.
6. Design and develop data visualizations using data viz tools (Tableau, etc.), to communicate and demonstrate digital performance per established objectives and best practices.
7. Coordinate with Product and digital marketing teams for appropriate definition of and ongoing analysis of metrics, including ensuring tagging and taxonomy are implemented correctly are being adhered to in order to meet analytic needs.
8. Leads 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. Educates teams on web analytics best practices and toolsets through the development of training materials, standards documentation, and takes lead in the coordination/facilitation of regular training sessions with various analytics user groups.
9. Identify methods to improve the digital analytics front-end implementation based on internal and external data
10. Identify online data collection issues and work with development and product teams for resolution
Job Requirements:
Location & Work Arrangement: This is a hybrid position based at ALSAC's National Executive Office (NEO) in Memphis, Tennessee. Team members are expected to work a combination of on-site and remote days in accordance with organizational hybrid work guidelines.
ALSAC is an equal employment opportunity employer.
ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.
No Search Firms:
ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.