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Senior Digital Analytics Engineer - Customer ExperienceThe Sherwin-Williams Company • United States
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Senior Digital Analytics Engineer - Customer Experience

The Sherwin-Williams Company
  • US
    United States
  • US
    United States
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Über

We are seeking a highly analytical and technically skilled Senior Digital Analytics Customer Experience (CX) Engineer to join our Global Digital Analytics Customer Experience (CX) team, supporting the Performance Coatings Group's digital initiatives. This role is responsible for designing, implementing, and optimizing digital data collection strategies across websites, applications, and digital marketing channels. The ideal candidate brings deep experience in digital analytics, strong data engineering and data governance expertise. This candidate is expected to use these skill sets to help elevate customer experiences, build a foundation for personalization and digital marketing activation, and drive business growth. As a senior member of the team, this person will play a critical leadership role in ensuring data quality, standardization, and connectivity across digital platforms, while advancing our measurement framework, analytics automation, and predictive insights capabilities. Additional Information: This role is not remote/hybrid. This role will report to Sherwin-Williams Global Headquarters located at 1 Sherwin Way, Cleveland, OH 44113. Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company's staff, employees, and business relationships. 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, wellstructured 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 bestpractice 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)
Digital 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.
CrossFunctional 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 nontechnical audiences with clarity.
Provide mentorship and guidance to junior analysts and engineers, fostering growth and knowledge sharing across the team.
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 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 familar with cloud and data engineering environments such as Snowflake or Databricks Have experience with Tableau, Power BI, or other BI platforms Required
Preferred
Job Industries
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  • United States

Sprachkenntnisse

  • English
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