What are the responsibilities and job description for the Senior Marketing Analytics Analyst position at KOHLS?
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
As a Senior Marketing Analytics Analyst, you will identify and communicate business insights by analyzing customer, sales, promotional, digital, and/or competitive data. You will identify business questions, extract data through relational databases or cloud platforms, analyze and interpret the data and develop insights into stories to assist with business-critical decisions.
What You’ll Do
Review standard and advanced ad hoc analysis requests from all levels of business partners for customer, program, offer and/or channel needs
Consult with leadership partners to identify primary and secondary business analyses and KPIs required to support critical business decisions
Develop end-to-end project timelines for analysis deliveries
Identify and collect primary and secondary data variables to holistically answer business questions
Maintain a deep understanding of the structure and location of various data sources to be utilized
Independently pull and manipulate data to determine results and develop data visualizations into relevant conclusions
Identify and set up processes for data quality checks
Lead in the setup and data pull for analyzing various marketing programs, including A/B Testing
Review relevant data sets and analyses to develop detailed insights and implications for strategy and decisions
Organize insights, data and visualizations into comprehensive stories for distribution to leadership partners to support internal business decisions
Additional tasks may be assigned
What Skills You Have
Required
Bachelor’s Degree in a quantitative field such as Statistics, Econometrics, Math, Research, or Behavioral Sciences
3 years of analytics and insights experience, particularly customer
Advanced SQL and/or SAS skills
Modeling experience
Strong communication and presentation skills
Experience presenting complex data analyses
Experience with data visualization tools (i.e. Tableau, Data Studio)
Experience with Google Cloud Platform services and other big data technologies
Preferred
Master’s Degree or equivalent
Retail knowledge
