Kohl’s Hiring for SENIOR PERSONALIZATION ANALYTICS ANALYST at Menomonee Falls, Wisconsin Full Time

Develop, test and curate statistical and machine learning models to inform and support customer strategy within marketing. This role focuses on providing analytical and technological support and consultation to key partners within the marketing organization, ranging from the executive level to our strategy teams. In addition, this person will participate in the co-development of marketing technologies with our IT teams.

ACCOUNTABILITIES

Develop models and analytics to inform executive level customer strategy

• Construct and curate model population datasets to align with the specific goals of the model
• Execute model creation, testing, execution and maintenance
• Present model results and recommend next steps to marketing partners
• Develop process to audit model performance over time

Participate in joint Marketing and IT projects

• Participate and may lead in working groups  with IT partners
• Perform UAT testing on deliverables
• Report on the progress of projects and may make recommendations to Marketing leaders

Provide internal marketing consultations on advanced technological, statistical and analytical inquiries

• Build relationships with business partners
• Define analytical and reporting requirements with partners
• Respond to complex inquiries with actionable insights and advice
• Deliver technical capabilities to partners
• Create dashboards or decks to support the analytics
• Provide high level data driven insights that confirm or refute partner’s hypothesis
• Demonstrate the ROI of technological advancements via proof on concept projects

QUALIFICATIONS

Required

• Bachelor’s Degree in relevant field
• 2-3 years of relevant Data Science, Applied Mathematics and/or Statistics
• Proficient in developing and testing statistical and/or machine learning models in Python and/or SAS
• A demonstrated ability to establish and maintain strong working relationships and achieve results by working collaboratively with others
• Ability to work in a rapidly changing environment while prioritizing and managing multiple tasks
• Strong oral and written communication skills, including experience with data visualization technologies such as Jupyter Notebooks, SAS, and Tableau

Preferred

• Master’s Degree in the hard sciences, engineering, or other applicable field