Measurement Analyst

Kohl's

Tallahassee (FL)

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Kohl’s Corporation in Menomonee Falls, WI is seeking an analytics professional to analyze and report on marketing campaign strategies by customer, product and channel. You will work with Marketing strategy teams to define campaign test objectives, determine test design, and establish measurable KPIs to drive decisions at senior leadership level.

You will leverage SQL, Python or R, and data visualization tools (Tableau, PowerBI) to generate campaign insights, perform high‑level data modeling, and

Qualifications

  • Bachelor’s Degree in Data Science, Business, Statistics, Computer Science, MIS or related field.
  • 2+ years of analytics experience performing statistical analysis and/or data modeling.
  • Proficient with SQL.
  • Experience with Python or R.
  • Experience with data visualization tools (Tableau, PowerBI).
  • Understanding of inferential statistics (t-tests, ANOVAs, Chi-Sq).
  • Experience with measurement methods across online and offline channels.

Responsibilities

  • Define campaign test objectives with strategy teams.
  • Ensure campaigns have measurable KPIs.
  • Generate campaign insights and evaluate marketing effectiveness to inform senior leadership.
  • Provide insights from multiple data sources and translate into a compelling story.
  • Use high-level data modeling techniques to perform analysis.
  • Create testing recaps and prepare visualizations based on recommendations.
  • Develop and implement process improvements and automate self-serve capabilities for marketing partners.
  • Collaborate with Marketing Technology and IT on data standardization and better data.
  • Leverage GCP BigQuery environment and data science tools to develop and improve core testing code.

Skills

Statistical analysis
Data modeling
Data storytelling

Education

Bachelor’s Degree in Data Science, Business, Statistics, Computer Science, MIS or related field

Tools

SQL
Python
R
Tableau
PowerBI

Job description

Role Specific Information
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

In this role, you will analyze and report on Kohl’s marketing campaign strategies and tactics by customer, product and channel. You will use a consultative approach, working with Marketing strategy teams to define campaign test objectives, determine proper test design to ensure measurability, clearly define actionable KPIs and generate campaign insights.

What You’ll Do
  • Work with strategy teams to define campaign test objectives
  • Ensure that all campaigns have defined and measurable KPIs
  • Generate campaign insights and evaluate marketing effectiveness to inform key decision-makers and strategic initiatives
  • Provide insights gathered from multiple data sources and translate insights into a compelling story to inform senior leadership
  • Use high-level data modeling techniques to perform analysis
  • Create testing recaps and prepare visualizations based on recommendations
  • Develop and implement process improvements and identify ways to automate and provide self-serve capabilities to marketing partners through standardization and process improvement
  • Work with Marketing Technology and IT to provide business requirements for standardization, automation and better data
  • Leverage GCP BigQuery environment and data science tools (i.e. SQL, Python, or R) to develop and improve upon core statistical testing code
  • Work in a matrixed organization with multiple stakeholders
  • Additional tasks may be assigned
What Skills You Have

Required

  • Bachelor’s Degree in Data Science, Business, Statistics, Computer Science, Management Information Systems or other related field
  • 2+ years of experience working on an analytics team performing statistical analysis and/or data modeling
  • Proficient with SQL
  • Experience with Python or R
  • Experience working with data visualization tools (e.g., Tableau, PowerBI)
  • Understanding of sound data visualization practices
  • Experience working with inferential statistical methods such as t-tests, ANOVAs, Chi-Sq
  • Experience with appropriate measurement methods across online and offline channels

Preferred

  • Experience conducting A/B testing
  • Advanced Degree in Data Science, Data Analytics or similar
  • Experience with supervised and unsupervised machine learning models
Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description from time to time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

  • Ability to perform the accountabilities listed in the “What You’ll Do” Section
  • Ability to maintain prompt and regular attendance as set by the company
  • Ability to work at least 8 hours per day, occasionally longer when necessary to meet business needs, 5 days per week
  • Ability to comply with dress code requirements
  • Ability to learn and comply with all company policies, procedures, standards and guidelines
  • Ability to give direction and receive, understand and proactively respond to direction from leadership and other company personnel
  • Ability to work as part of a team and interact effectively and appropriately with others
  • Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes
  • Ability to satisfactorily complete company training programs
  • Perform work in accordance with the Physical/Cognitive Requirements section

Physical/Cognitive Requirements

  • Ability to use a personal computer for tasks such as communicating, preparing reports, etc.
  • Ability to plan, prioritize and monitor activities across business units
  • Ability to complete or oversee the completion of assigned projects in a timely manner
  • Ability to comply with health and safety standards
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