Senior Digital Analytics Engineer - Customer Experience

Responsibilities

• Enable Personalized Digital Customer Experiences through Data Collection & Connectivity
• Digital Data Collection, Tagging, and Implementation
• Partner with digital analysts and IT to enable insights generation for marketing, product, and digital teams through reliable, well-structured data and tagging strategies (Adobe Analytics, Adobe Customer Journey Analytics, Google Analytics)
• Partner closely with development teams, conduct thorough QA and user acceptance testing (UAT) for analytics tags, data layer updates, and new digital customer experiences.
• Lead digital tagging strategy, implementation, and validation using enterprise tag management systems (e.g., Adobe Tags, Google Tag Manager).
• Own and evolve the Solution Design Reference (SDR) documentation, ensuring alignment with business requirements and best-practice analytics architecture.
• Provide technical guidance on digital data layer design, event tracking, custom dimensions/variables, and tagging governance.
• Data-Driven Customer Experience Personalization And Segmentation
• Support A/B and multivariate testing with Adobe Target by establishing proper tagging, data validation, and measurement frameworks.
• Build audience segments for digital marketing activation and personalization in Adobe or other digital platforms.
• Data Engineering
• Connect digital platforms and data by designing and maintaining scalable, automated data pipelines from digital marketing, analytics, and business intelligence platforms (e.g., Tableau).
• Data Governance & Quality
• Champion enterprise data governance and quality standards across digital analytics platforms
• Identify data gaps, inconsistencies, and duplication; drive improvements to increase data completeness, accuracy, and scalability.
• Maintain and enhance naming conventions, taxonomies, standards, and data dictionaries for analytics assets.
• Contribute to data hygiene routines including anomaly detection, validation processes, and automated quality checks.
• Cross-Functional Collaboration With Customer Experience Teams
• Serve as a trusted technical advisor to marketing, ecommerce, digital products, and IT teams.
• Communicate complex data concepts and implementation details to both technical and non-technical audiences with clarity.
• Provide mentorship and guidance to junior analysts and engineers, fostering growth and knowledge sharing across the team.

  Qualifications

  • Minimum Requirements:
  • Must be at least eighteen (18) years of age
  • Must be legally authorized to work in the country of employment without needing sponsorship for employment work visa status now or in the future
  • Must have a bachelors degree or higher
  • Must have at least two (2) years of experience in leadership role(s), supervising others or leading teams
  • Must have five (5) years of experience in digital analytics engineering, analytics implementation, web measurement, or marketing data engineering roles
  • Must have strong hands-on expertise with digital analytics platforms such as Adobe Analytics, Adobe Customer Journey Analytics, or Google Analytics 4
  • Must have advanced proficiency with tag management systems (Adobe Tags, Google Tag Manager)
  • Must have experience designing and managing data layers, SDRs, and tagging governance frameworks
  • Must be proficient in SQL for data extraction, transformation, and automation
  • Must understand A/B testing platforms and experimentation (e.g., Adobe Target)
  • Preferred Qualifications:
  • Have a bachelor's degree or higher in Business, Marketing, Analytics, Data Science, Statistics, Mathematics, or Computer Science
  • Be familiar with cloud and data engineering environments such as Snowflake or Databricks
  • Have experience with Tableau, Power BI, or other BI platforms