Measurement Analyst

Posted 23 Days Ago
Be an Early Applicant
0900, Wellsford, Auckland, NZL
In-Office
Junior
eCommerce • Retail
The Role
Analyze marketing campaign strategies and report insights using statistical analysis and data visualization. Collaborate with strategy teams to define objectives and KPIs, automate processes, and improve data handling for marketing.
Summary Generated by Built In

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

Skills Required

  • Bachelor's Degree in Data Science, Business, Statistics, Computer Science, or related field
  • 2+ years of experience in analytics performing statistical analysis and/or data modeling
  • Proficient with SQL
  • Experience with Python or R
  • Experience working with data visualization tools
  • Understanding of sound data visualization practices
  • Experience with inferential statistical methods
  • Experience with measurement methods across online and offline channels
  • Experience conducting A/B testing
  • Advanced Degree in Data Science, Data Analytics or similar
  • Experience with supervised and unsupervised machine learning models

Kohl's Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kohl's and has not been reviewed or approved by Kohl's.

  • Retirement Support Feedback suggests the 401(k) plan is a standout, offering a dollar‑for‑dollar company match up to 5% with contributions available from day one. Eligibility and vesting mechanics are presented as straightforward for eligible roles.
  • Parental & Family Support Paid parental leave includes 12–14 weeks for birthing parents and 6 weeks for other eligible parents. Feedback suggests this is a meaningful family‑support element within the package.
  • Wellbeing & Lifestyle Benefits The package includes a 15% everyday associate discount that can rise to 35% on select days, access to an Employee Assistance Program, and low‑ or no‑cost wellness centers in eligible locations. Feedback suggests these everyday perks add tangible value alongside core benefits.

Kohl's Insights

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The Company
HQ: Menomonee Falls, WI
0 Employees
Year Founded: 1962

What We Do

Kohl’s is a leading omnichannel retailer with more than 1,100 stores in 49 states Kohl's business is built on a solid foundation of more than 65 million customers, an unmatched brand portfolio, industry-leading loyalty and Kohl's Card programs, a convenient and accessible nationwide store footprint, and large digital business on Kohls.com and the Kohl's mobile app. Our Vision: - The retailer of choice for the active and casual lifestyle - Destination for active and casual lifestyle as well as beauty for the entire family — from the most trusted brands, always delivering quality and discovery - Leading with loyalty and value through best-in-class rewards programs - Differentiated omnichannel experience — easy and inviting, no matter how our customer wants to shop

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