Senior Analyst, Digital Reporting & Optimization
Kohl's, Menomonee Falls, Wisconsin, United States, 53051
Overview
In this role, you will help elevate digital analytics insights into data-driven business recommendations and apply statistical analysis techniques to identify site and business performance drivers.
What You’ll Do
Build, enhance, and maintain dashboards, recurring reports, KPI frameworks, and automated analytics solutions to support digital performance monitoring and decision-making
Validate data and troubleshoot discrepancies across Adobe Analytics, tagging implementations and enterprise BI platforms to ensure accuracy and consistency
Analyze digital behavior, traffic patterns and performance trends to generate clear insights that partners can act on
Support cross-functional teams by improving reporting outputs, refining measurement approaches and optimizing existing analytics processes
Conduct deep-dive analyses of customer behavior, category performance and journeys to identify opportunities, risks and potential test ideas
Synthesize findings into clear, concise summaries tailored for digital, product, marketing and merchandising partners
Provide data-informed recommendations grounded in performance patterns, business context and experimentation learnings
Partner with Technology to define tagging requirements, support QA and UAT, validate implementations and help resolve data defects impacting key journeys
Maintain tagging, reporting, KPI and measurement documentation to support consistent and reliable analytics usage
Contribute to training materials, reference guides and self-serve resources that help partners effectively use Adobe Analytics, dashboards and internal tools
Additional tasks may be assigned
Required
Strong analytical mindset and comfort with strong analytics principles
Problem-solving skills and comfort with ambiguity
Excellent written and verbal communication skills
Ability to work independently and as part of a team
Attention to detail and organizational skills
Ability to multitask, work under firm deadlines within a rapidly changing environment
Advanced knowledge of Excel
Preferred
3+ years of working in a high-volume retail environment
3+ years of experience using web analytics tools such as Adobe Analytics (Omniture) or Google Analytics and testing/optimization tools like Adobe Target, Optimizely or Maxymiser
Knowledge of languages and programs such as SQL, Python, R Statistics
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What You’ll Do
Build, enhance, and maintain dashboards, recurring reports, KPI frameworks, and automated analytics solutions to support digital performance monitoring and decision-making
Validate data and troubleshoot discrepancies across Adobe Analytics, tagging implementations and enterprise BI platforms to ensure accuracy and consistency
Analyze digital behavior, traffic patterns and performance trends to generate clear insights that partners can act on
Support cross-functional teams by improving reporting outputs, refining measurement approaches and optimizing existing analytics processes
Conduct deep-dive analyses of customer behavior, category performance and journeys to identify opportunities, risks and potential test ideas
Synthesize findings into clear, concise summaries tailored for digital, product, marketing and merchandising partners
Provide data-informed recommendations grounded in performance patterns, business context and experimentation learnings
Partner with Technology to define tagging requirements, support QA and UAT, validate implementations and help resolve data defects impacting key journeys
Maintain tagging, reporting, KPI and measurement documentation to support consistent and reliable analytics usage
Contribute to training materials, reference guides and self-serve resources that help partners effectively use Adobe Analytics, dashboards and internal tools
Additional tasks may be assigned
Required
Strong analytical mindset and comfort with strong analytics principles
Problem-solving skills and comfort with ambiguity
Excellent written and verbal communication skills
Ability to work independently and as part of a team
Attention to detail and organizational skills
Ability to multitask, work under firm deadlines within a rapidly changing environment
Advanced knowledge of Excel
Preferred
3+ years of working in a high-volume retail environment
3+ years of experience using web analytics tools such as Adobe Analytics (Omniture) or Google Analytics and testing/optimization tools like Adobe Target, Optimizely or Maxymiser
Knowledge of languages and programs such as SQL, Python, R Statistics
#J-18808-Ljbffr