π Core Information
πΉ Job Title: Marketing Analytics Analyst
πΉ Company: Kohl's
πΉ Location: Kohl's Corporate Offices (0900), Menomonee Falls, WI
πΉ Job Type: Full-Time, Hybrid (On-site Mon-Thu, Remote Fri)
πΉ Category: Analytics, Marketing
πΉ Date Posted: May 22, 2025
πΉ Experience Level: 2-5 years
πΉ Remote Status: On-site majority of the week, Remote 1 day per week
π Job Overview
Key aspects of this role include:
- Identifying and communicating business insights through data analysis
- Extracting and manipulating data to determine results and develop data visualizations
- Collaborating with business partners to identify primary and secondary business analyses
- Developing end-to-end project timelines for analysis deliveries
- Organizing insights into comprehensive stories for distribution to leadership partners
ASSUMPTION: This role requires a strong analytical mindset, excellent communication skills, and the ability to work independently and collaboratively.
π Key Responsibilities
β
Review standard and intermediate ad hoc analysis requests from business partners
β
Consult with business partners to identify primary and secondary business analyses and KPIs
β
Develop end-to-end project timelines for analysis deliveries
β
Identify and collect primary and secondary data variables to holistically answer business questions
β
Maintain an understanding of the structure and location of various data sources
β
Independently pull and manipulate data to determine results and develop data visualizations
β
Identify and set up processes for data quality checks
β
Execute setup and data pull for analyzing various marketing programs, including A/B Testing
β
Review relevant data sets and analyses to develop detailed and informed insights and implications
β
Organize insights, data, and visualizations into comprehensive stories for distribution to leadership partners
ASSUMPTION: This role involves a significant amount of data analysis and interpretation, as well as strong communication skills to effectively convey findings to stakeholders.
π― Required Qualifications
Education: Bachelorβs Degree or equivalent
Experience: 2+ yearsβ experience in analytics
Required Skills:
- Basic SQL and/or SAS skills
- Strong communication skills
- Experience presenting complex data analysis to lateral business partners
- Basic experience with Tableau/Visualization Software
Preferred Skills:
- Masterβs Degree or equivalent
- R/Python programming skills
- Retail knowledge
ASSUMPTION: While a Bachelorβs Degree is required, a Masterβs Degree would be beneficial for more complex data analysis and interpretation.
π° Compensation & Benefits
Salary Range: $65,000 - $85,000 per year (Based on industry standards for a Marketing Analytics Analyst with 2-5 years of experience in the retail industry)
Benefits:
- 401(k) with company match
- Health, dental, and vision insurance
- Paid time off (vacation, sick, and holidays)
- Employee discount
Working Hours: Full-time, 40 hours per week, with flexible remote work options
ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and skills.
π Applicant Insights
π Company Context
Industry: Retail
Company Size: 10,001+ employees
Founded: 1962
Company Description:
- Kohlβs is a leading omnichannel retailer with more than 1,100 stores in 49 states.
- Their business is built on a solid foundation of more than 60 million customers, an unmatched brand portfolio, industry-leading loyalty and Kohlβs Card programs, a convenient and accessible nationwide store footprint, and large digital business on Kohls.com and the Kohl's mobile app.
- Kohlβs is committed to diversity, equity, and inclusion, and offers a range of benefits and perks to their employees.
Company Specialties:
- Beauty
- Technology
- Software Engineers
- Retail
- Finance
- Marketing
- and Product Development
Company Website: careers.kohls.com
ASSUMPTION: Kohlβs is a well-established retailer with a strong focus on customer experience and data-driven decision making.
π Role Analysis
Career Level: Mid-level
Reporting Structure: This role reports directly to the Manager of Marketing Analytics
Work Arrangement: Hybrid (On-site Mon-Thu, Remote Fri)
Growth Opportunities:
- Potential career growth into senior analytics roles or management positions
- Opportunities to work on high-impact projects and gain exposure to senior leadership
- Access to training and development opportunities to enhance skills and advance career
ASSUMPTION: This role offers opportunities for career growth and development within the analytics and marketing fields.
π Location & Work Environment
Office Type: Corporate headquarters with a modern and collaborative work environment
Office Location(s): Kohl's Corporate Offices (0900), Menomonee Falls, WI
Geographic Context:
- Menomonee Falls is a suburb of Milwaukee, Wisconsin, with a population of approximately 37,000 people.
- The area offers a mix of urban and suburban living, with easy access to parks, shopping, and dining options.
- Milwaukee, located about 20 miles southeast of Menomonee Falls, is the largest city in Wisconsin and offers a wide range of cultural, entertainment, and recreational opportunities.
Work Schedule: Full-time, 40 hours per week, with flexible remote work options
ASSUMPTION: The Menomonee Falls area offers a pleasant living environment with easy access to urban amenities in nearby Milwaukee.
πΌ Interview & Application Insights
Typical Process:
- Phone or video screen with the hiring manager
- On-site interview with the hiring manager and team members
- Final interview with the director or vice president
Key Assessment Areas:
- Data analysis and interpretation skills
- Communication skills, both written and verbal
- Problem-solving abilities
- Cultural fit and alignment with Kohlβs values
Application Tips:
- Highlight relevant analytics experience and achievements in your resume
- Tailor your cover letter to demonstrate your understanding of the role and how your skills and experience make you a strong fit
- Prepare for behavioral and situational interview questions that focus on your problem-solving, communication, and teamwork skills
ATS Keywords: Marketing Analytics, Data Analysis, SQL, SAS, Tableau, Retail, Business Intelligence, KPIs, A/B Testing
ASSUMPTION: The interview process for this role will focus on assessing the candidate's analytical skills, communication abilities, and cultural fit with the company.
π οΈ Tools & Technologies
- SQL
- SAS
- Tableau
- R/Python (preferred)
ASSUMPTION: Proficiency in SQL and Tableau is required, while experience with R or Python would be beneficial for more complex data analysis.
π Cultural Fit Considerations
Company Values:
- Customer Obsessed
- Inclusive and Diverse
- Adaptable and Resilient
- Collaborative and Accountable
- Innovative and Curious
Work Style:
- Data-driven decision making
- Collaborative and team-oriented
- Adaptable and responsive to change
- Results-focused and accountable
Self-Assessment Questions:
- How do you approach data-driven decision making, and can you provide an example from a previous role?
- Describe a time when you had to collaborate with a team to analyze and interpret complex data. What was the outcome?
- How do you stay organized and manage multiple projects or tasks simultaneously?
ASSUMPTION: Candidates who demonstrate strong alignment with Kohlβs values and a collaborative work style will be well-suited to this role.
β οΈ Potential Challenges
- Managing multiple analysis requests and prioritizing tasks effectively
- Interpreting and communicating complex data insights to non-technical stakeholders
- Keeping up with the latest data analysis tools and techniques in a rapidly evolving field
- Adapting to changes in business priorities or data sources
ASSUMPTION: This role may present challenges related to data interpretation, communication, and adaptability, but offers opportunities for growth and development in a dynamic environment.
π Similar Roles Comparison
- Compared to other marketing analytics roles, this position offers a unique blend of data analysis and business collaboration, with a focus on driving business decisions through data-driven insights.
- In the retail industry, this role is essential for understanding customer behavior, optimizing marketing campaigns, and improving overall business performance.
- Career progression in this role could lead to senior analytics positions, management roles, or other data-focused careers within the organization.
ASSUMPTION: This role offers a unique blend of data analysis and business collaboration, with opportunities for career growth and development within the analytics and marketing fields.
π Sample Projects
- Analyzing customer purchase data to identify trends and optimize marketing campaigns
- Developing and implementing A/B testing strategies to improve website conversion rates
- Creating and maintaining dashboards to track key performance indicators (KPIs) and monitor business performance
ASSUMPTION: These sample projects demonstrate the range of data analysis and interpretation tasks that may be required in this role.
β Key Questions to Ask During Interview
- Can you describe the team structure and how this role fits within the organization?
- How does this role support the overall business strategy, and what are the key priorities for the first 90 days?
- What opportunities are there for professional development and growth within the analytics team?
- How does the company support work-life balance, especially for hybrid or remote employees?
- What is the company's approach to data governance and ensuring data quality?
ASSUMPTION: These questions are designed to help candidates better understand the role, the team, and the company culture, as well as assess the opportunities for professional growth and development.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume to highlight relevant analytics experience and achievements
- Write a cover letter that demonstrates your understanding of the role and how your skills and experience make you a strong fit
- Prepare for behavioral and situational interview questions that focus on your problem-solving, communication, and teamwork skills
- Follow up with the hiring manager one week after submitting your application to express your interest and reiterate your qualifications
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.