Marketing Analytics Analyst

📌 Core Information

🔹 Job Title: Marketing Analytics Analyst

🔹 Company: Kohls

🔹 Location: Menomonee Falls, Wisconsin, United States

🔹 Job Type: Full-Time, On-site (Hybrid: 4 days on-site, 1 day remote)

🔹 Category: Marketing

🔹 Date Posted: May 22, 2025

🔹 Experience Level: Mid-Senior level (2-5 years)

🔹 Remote Status: On-site with remote flexibility

🚀 Job Overview

Key aspects of this role include:

• Extracting and analyzing data to derive business insights and support critical decisions
• Collaborating with business partners to identify and address data needs
• Developing and maintaining data quality checks
• Executing data pulls and analyses for various marketing programs, including A/B testing
• Creating comprehensive data stories for leadership partners

ASSUMPTION: This role requires a balance of technical skills (data analysis, SQL, SAS) and strong communication skills to effectively convey insights to non-technical stakeholders.

📋 Key Responsibilities

✅ Review and analyze standard and ad-hoc analysis requests from business partners

✅ Consult with business partners to identify primary and secondary business analyses and KPIs

✅ Develop end-to-end project timelines for analysis deliveries

✅ Identify and collect primary and secondary data variables to holistically answer business questions

✅ Maintain an understanding of various data sources and their structures

✅ Independently pull and manipulate data to determine results and develop data visualizations

✅ Set up processes for data quality checks

✅ Execute setup and data pull for analyzing various marketing programs, including A/B Testing

✅ Review relevant data sets and analyses to develop detailed and informed insights and implications

✅ Organize insights, data, and visualizations into comprehensive stories for distribution to leadership partners

✅ Additional tasks may be assigned

ASSUMPTION: This role involves a mix of routine tasks (e.g., data pulls, quality checks) and project-based work (e.g., ad-hoc analyses, A/B testing).

🎯 Required Qualifications

Education: Bachelor’s Degree or equivalent

Experience: 2+ years’ 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:

• Master’s Degree or equivalent
• R/Python programming skills
• Retail knowledge

ASSUMPTION: While a Master's degree is preferred, a Bachelor's degree with relevant experience is acceptable for this role.

💰 Compensation & Benefits

Salary Range: $60,000 - $85,000 per year (Based on industry standards for a Mid-Senior level Marketing Analytics role in Wisconsin)

Benefits:

• 401(k) plan with company match
• Health, dental, and vision insurance
• Paid time off (vacation, sick, and holidays)
• Employee discounts

Working Hours: Full-time (40 hours/week), with flexible remote work options

ASSUMPTION: The salary range is an estimate based on industry standards and may vary depending on the candidate's experience and skills.

📌 Applicant Insights

🔍 Company Context

Industry: Retail. Kohls is a leading omnichannel retailer with over 1,100 stores in 49 states and a strong digital presence.

Company Size: 10,001+ employees. As a large organization, Kohls offers numerous opportunities for growth and career development.

Founded: 1962. Kohls has a long history in the retail industry and a well-established brand.

Company Description:

• Kohls offers a wide range of products, including clothing, accessories, home goods, and beauty products.
• The company is known for its strong loyalty program, Kohl's Cash, and its Kohl's Card credit card.
• Kohls has a strong focus on omnichannel retailing, integrating its physical stores with its online platform.

Company Specialties:

• Beauty
• Technology
• Software Engineers
• Retail
• Finance
• Marketing
• and Product Development

Company Website: careers.kohls.com

ASSUMPTION: Kohls' focus on omnichannel retailing and data-driven decision making makes this role an excellent fit for a data-savvy analyst.

📊 Role Analysis

Career Level: Mid-Senior level. This role requires a balance of technical skills and business acumen.

Reporting Structure: This role reports directly to the Manager, Marketing Analytics.

Work Arrangement: Hybrid. The role requires on-site work for 4 days a week, with the option to work remotely on Fridays.

Growth Opportunities:

• Advancement to Senior Marketing Analytics roles or management positions
• Expansion of skills and expertise through training and development opportunities
• Potential to work on high-impact projects and influence business decisions

ASSUMPTION: Kohls' large size and diverse business units offer numerous opportunities for career growth and development.

🌍 Location & Work Environment

Office Type: Corporate headquarters. The role is based at Kohls' corporate office in Menomonee Falls, Wisconsin.

Office Location(s): N56 W17000 Ridgewood Dr, Menomonee Falls, Wisconsin 53051, US

Geographic Context:

• Menomonee Falls is a suburb of Milwaukee, Wisconsin, with a population of approximately 36,000.
• The area offers a mix of urban and suburban living, with easy access to outdoor recreation and cultural attractions.
• Wisconsin has a humid continental climate, with warm summers and cold, snowy winters.

Work Schedule: Full-time, with flexible remote work options. The role requires on-site work for 4 days a week, with the option to work remotely on Fridays.

ASSUMPTION: The hybrid work arrangement offers a good balance between on-site collaboration and remote flexibility.

💼 Interview & Application Insights

Typical Process:

• Online application and resume screening
• Phone or video screen with the hiring manager
• On-site or virtual interview with the marketing analytics team
• Final interview with the director of marketing analytics

Key Assessment Areas:

• Technical skills (data analysis, SQL, SAS, Tableau)
• Communication skills (written and verbal)
• Problem-solving skills
• Business acumen and understanding of retail industry

Application Tips:

• Highlight relevant experience and skills in your resume and cover letter
• Tailor your application to demonstrate your understanding of Kohls' business and the role's responsibilities
• Prepare for behavioral and technical interview questions
• Research Kohls' company culture and values to demonstrate your fit

ATS Keywords: Marketing Analytics, Data Analysis, SQL, SAS, Tableau, Retail, Business Intelligence, KPIs, A/B Testing, Data Storytelling

ASSUMPTION: Kohls uses an Applicant Tracking System (ATS) to screen and manage job applications. Including relevant keywords in your resume can help your application stand out.

🛠️ Tools & Technologies

• SQL
• SAS
• Tableau
• R/Python (preferred)
• Microsoft Office Suite

ASSUMPTION: Familiarity with these tools and technologies is essential for success in this role.

👔 Cultural Fit Considerations

Company Values:

• Customer Obsessed
• Inclusive and Collaborative
• Adaptable and Resilient
• Accountable and Results-Driven

Work Style:

• Data-driven decision making
• Collaborative and team-oriented
• Adaptable and open to change
• Results-focused and accountable

Self-Assessment Questions:

• Do you thrive in a collaborative, team-oriented environment?
• Are you comfortable working with large datasets and complex analyses?
• Can you effectively communicate complex data insights to non-technical stakeholders?
• Are you adaptable and open to change in a dynamic retail environment?

ASSUMPTION: Kohls values employees who are customer-focused, collaborative, adaptable, and results-driven.

⚠️ Potential Challenges

• Managing multiple analysis requests and deadlines
• Working with large and complex datasets
• Communicating complex data insights to non-technical stakeholders
• Adapting to changes in the retail industry and business priorities

ASSUMPTION: These challenges can be overcome with strong organizational skills, attention to detail, and effective communication.

📈 Similar Roles Comparison

• Unlike some marketing analytics roles, this position requires a balance of technical skills and strong communication skills
• Kohls' large size and diverse business units offer numerous opportunities for career growth and development
• This role is well-suited for candidates with a background in retail or a strong interest in the retail industry

ASSUMPTION: This role offers a unique blend of technical and communication skills, making it an excellent fit for candidates with a strong analytical background and strong communication skills.

📝 Sample Projects

• Analyzing customer data to identify trends and opportunities for targeted marketing campaigns
• Conducting A/B testing to optimize marketing program performance
• Developing and maintaining data quality checks to ensure accurate and reliable analysis

ASSUMPTION: These sample projects illustrate the range of responsibilities and the importance of data-driven decision making in this role.

❓ Key Questions to Ask During Interview

• How does this role support the overall marketing strategy and business goals?
• What are the most pressing challenges facing the marketing analytics team currently?
• How does Kohls support the professional development and growth of its marketing analytics team members?
• What is the typical career path for someone in this role, and what opportunities exist for advancement?
• How does Kohls foster a collaborative and inclusive work environment?

ASSUMPTION: These questions demonstrate your interest in the role, the team, and the company, and help you better understand the opportunities and challenges associated with the position.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight your relevant experience and skills
• Prepare for behavioral and technical interview questions by researching common interview questions for marketing analytics roles and practicing your responses
• Follow up with the hiring manager or HR representative after your interview to express your interest in the role and reiterate your qualifications

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.