Posted:
3/19/2025, 5:00:00 PM
Location(s):
Menomonee Falls, Wisconsin, United States ⋅ Wisconsin, United States
Experience Level(s):
Senior
Field(s):
Data & Analytics ⋅ Growth & Marketing
Workplace Type:
Hybrid
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 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
Website: https://kohls.com/
Headquarter Location: Menomonee Falls, Wisconsin, United States
Employee Count: 10001+
Year Founded: 1988
IPO Status: Public
Industries: Apparel ⋅ Beauty ⋅ Home Decor ⋅ Jewelry ⋅ Retail