Role Specific Information
Job Description
This position can be remote; however, if you reside near our offices in Menomonee Falls, WI, or New York City, NY, we request that you work onsite from Monday through Thursday, with the option to work remotely on Fridays.
About the Role
In this role, you will leverage data to drive strategic decision-making by designing, developing and optimizing scalable BI solutions. You will work closely with cross-functional teams to transform complex datasets into actionable insights, build robust data models and dashboards and enhance data-driven decision-making across the organization.
What You’ll Do
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
Leverage SQL to retrieve, transform and prepare data for robust analyses
Present findings to executive-level digital, marketing and merchandising leadership
Develop best practices for BI and Self Service
Directly query data in the Google Cloud Platform across different environments to prepare data for analytics
Institute an environment of ongoing learning and sharing of skills and knowledge to the broader analytics pyramid
Be a steward of customer, marketing and digital data and collaborate with IT and business stakeholders on projects related to using data and analytics
Additional tasks may be assigned
What Skills You Have
Required
5+ years of experience, preferably working within a digital, IT, marketing, e-commerce or other applicable field or analytics organization
Advanced proficiency in SQL
Expertise in Qlik, Tableau, PowerBI or Looker Studio
Experience in Adobe Clickstream, Adobe Analytics
Experience working directly with business stakeholders to translate between data and business needs
Highly effective at communicating analysis and data visualizations with a non-technical audience
Proven ability to independently determine approaches to efficiently completing projects and managing processes
Knowledge of statistical analysis methods
Conceptual understanding of Data Mining and Machine Learning methodologies for analytical application
Preferred
Degree in Mathematics or Statistics, Economics, Computer Science, Predictive Analytics or similar
Experience with an object-oriented programming language (R, Python etc.)
Ability to write functions and end-to-end programs
Experience with Data Mining and Machine Learning methodologies
Experience with Google BigQuery
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 at any 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 comply with dress code requirements
Basic math and reading skills, legible handwriting, and basic computer operation
Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company
Ability to learn and comply with all company policies, procedures, standards and guidelines
Ability to give direction and to 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
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
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.
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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.
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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.
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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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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
