Senior Digital Customer Analytics Analyst (Remote)

Kohl's

Menomonee Falls (WI)

Hybrid

USD 90,000 - 130,000

Full time

15 hours ago
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Job summary

Kohl’s Corporate Office in Menomonee Falls, WI is seeking a Senior Digital Customer Analytics Analyst. You’ll identify business insights by analyzing digital customer funnel and performance data across web, app, and campaigns, translating findings into actionable recommendations for leadership.

You’ll build dashboards, lead deep-dive analyses (funnels, cohorts, A/B tests), partner with Product, UX, and Marketing, ensure data quality across Adobe/Google Analytics, and mentor junior analysts while

Qualifications

  • Bachelor's degree in a quantitative field or related discipline.
  • 5+ years of digital/customer analytics and insights experience.
  • Proficient in SQL and data visualization.
  • Experience with Adobe Analytics/Google Analytics.
  • Experience with cloud platforms (Snowflake, BigQuery).

Responsibilities

  • Perform advanced ad hoc analysis on customer, program, offer and channel performance.
  • Develop dashboards and reporting focused on digital KPIs (conversion, retention, engagement, LTV).
  • Lead funnel, cohort, attribution and A/B testing analyses across digital touchpoints.
  • Collaborate with Product, UX and Marketing to evaluate feature performance and optimization opportunities.
  • Ensure data quality and consistency across analytics platforms (Adobe/Google Analytics).
  • Translate complex findings into clear, actionable insights for leadership.

Skills

Advanced SQL
Adobe Analytics
Google Analytics
Amplitude
Data visualization
Cloud data platforms

Education

Bachelor’s degree in a quantitative field

Tools

Snowflake
BigQuery
Google Cloud Platform
Qlik
Tableau
Data Studio

Job description

This role is based at our Corporate Office in Menomonee Falls, WI. You’ll work onsite from Monday through Thursday, with the option to work remotely on Fridays.

About The Role

As Senior Digital Customer Analytics Analyst, you will identify and communicate business insights by analyzing digital customer funnel and performance data. You will identify business questions, extract data through relational databases or cloud platforms, analyze and interpret the data and develop insights into stories to assist with business-critical decisions.

What You’ll Do
  • Perform advanced ad hoc analysis for customer, program, offer and channel performance, consulting with leadership on required Key Performance Indicators (KPIs)
  • Identify, collect and manipulate primary and secondary data from various sources (e.g., Snowflake, BigQuery) to answer complex business questions
  • Develop, maintain and automate dashboards and reporting focused on key digital KPIs (conversion, retention, engagement, Lifetime Values (LTV))
  • Lead deep-dive analyses (funnels, cohorts, attribution, A/B testing) across digital touchpoints (web, app, email, paid media)
  • Partner with Product and UX teams to evaluate feature performance and identify optimization opportunities
  • Support Marketing teams with campaign measurement, audience segmentation and comprehensive customer journey analysis
  • Ensure data quality and consistency across all analytics platforms (e.g., Adobe/Google Analytics)
  • Translate complex analytical findings into clear, compelling and organized insights for non-technical leadership stakeholders
  • Proactively identify significant trends, risks and growth opportunities to influence strategic business decisions
  • Mentor junior analysts and contribute to the continuous development of analytics best practices and standards
  • Additional tasks may be assigned
Required
What Skills You Have
  • Bachelor’s degree in a quantitative field such as statistics, econometrics, math, research or behavioral Sciences
  • 5+ years of digital and/or customer analytics and insights experience
  • Advanced SQL skills
  • Experience with Adobe Clickstream data or equivalent site funnel data
  • Hands‑on experience with digital analytics tools (Adobe Analytics, Google Analytics, Amplitude, etc.)
  • Modeling experience
  • Experience with data visualization tools (i.e. Qlik, Tableau, Data Studio)
  • Experience with Google Cloud Platform services and other big data technologies
Preferred
  • Master’s degree or equivalent
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