Senior Digital Analytics Customer Experience (CX) Engineer

Cleveland, TN - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

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 Groups 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 and experience in data science and AI. 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:

Travel Required: 10%

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 Companys staff employees and business relationships.

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 wellstructured data and tagging strategies (Adobe 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 Data Science and AI Enablement

Connect digital platforms and data by designing and maintaining scalable automated data pipelines from digital marketing analytics and business intelligence platforms (e.g. Tableau)

Perform exploratory data analysis (EDA) using Python R or SQL to support segmentation clustering and predictive modeling.

Assist in the development and deployment of machine learning models (e.g. churn prediction propensity scoring anomaly detection).

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.

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 (e.g. OPT CPT H1B EB-1etc.).
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-onexpertisewith digital analytics platforms such as Adobe Analytics Google Analytics 4 or similar enterprise solutions.
Must have advancedproficiencywith tag management systems (AdobeTags Google Tag Manager).
Must have experience designing and managing data layers SDRs and tagging governance frameworks.
Must be proficientin SQL for data extraction transformation and automation.
Must have working knowledge of Python or R
Must befamiliar with cloud and data engineering environments such as Snowflake Databricks Azure or GCP.
Must have experience with Tableau Power BI or other BI platforms
Must understand A/B testing platforms and experimentation (e.g. Adobe Target)

Preferred Qualifications:

Have a bachelors degree or higher inBusinessor MarketingAnalytics Data Science Statistics Mathematics ComputerScience
Have at least three (3) years of experience in leadership role(s) supervising others or leading teams
Have seven (7) years of experience in digital analytics engineering analytics implementation web measurement or marketing data engineering roles.

Required Experience:

Senior IC

DescriptionWe 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 Groups digital initiatives. This role is responsible for designing i...

Description

Additional Information:

Travel Required: 10%

This role is not remote/hybrid. This role will report to Sherwin-Williams Global Headquarters located at 1 Sherwin Way Cleveland OH 44113.

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 wellstructured data and tagging strategies (Adobe 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 Data Science and AI Enablement

Connect digital platforms and data by designing and maintaining scalable automated data pipelines from digital marketing analytics and business intelligence platforms (e.g. Tableau)

Perform exploratory data analysis (EDA) using Python R or SQL to support segmentation clustering and predictive modeling.

Assist in the development and deployment of machine learning models (e.g. churn prediction propensity scoring anomaly detection).

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.

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 (e.g. OPT CPT H1B EB-1etc.).
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-onexpertisewith digital analytics platforms such as Adobe Analytics Google Analytics 4 or similar enterprise solutions.
Must have advancedproficiencywith tag management systems (AdobeTags Google Tag Manager).
Must have experience designing and managing data layers SDRs and tagging governance frameworks.
Must be proficientin SQL for data extraction transformation and automation.
Must have working knowledge of Python or R
Must befamiliar with cloud and data engineering environments such as Snowflake Databricks Azure or GCP.
Must have experience with Tableau Power BI or other BI platforms
Must understand A/B testing platforms and experimentation (e.g. Adobe Target)

Preferred Qualifications:

Have a bachelors degree or higher inBusinessor MarketingAnalytics Data Science Statistics Mathematics ComputerScience
Have at least three (3) years of experience in leadership role(s) supervising others or leading teams
Have seven (7) years of experience in digital analytics engineering analytics implementation web measurement or marketing data engineering roles.

Required Experience:

Senior IC

Key Skills

Debugging
Remote Access Software
IT Service Management
IOS
Multithreading
VPN
Neo4j
FISMA
SSO
Github
Google Suite
Troubleshooting

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About Company

Sherwin-Williams

At Sherwin-Williams, our purpose is to inspire and improve the world by coloring and protecting what matters. Our paints, coatings and innovative solutions make the places and spaces in our world brighter and stronger. Your skills, talent and passion make it possible to live this purp ... View more

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