Manager, Personalization Analytics

Job Duties: 

• Use big data and advanced analytical techniques to optimize customer engagement and lifetime value • Utilize customer-level 1:1 analysis and modeling for targeting initiatives 

• Play a lead role in consolidating learnings towards personalization initiatives that help make data based targeting more potent over time 

• Oversee the activation of tests, ensuring essential model runs, segmentation and timelines are  provided to key stakeholders 

• Ensure relevant analytics assets and tests are documented, and insights are captured • Manage and influence direct reports, systems and projects to achieve unit goals per Kohl’s policies  and practices 

• Provide leadership by exhibiting influence and expertise and driving results 

• Create and promote an effective work environment by developing a common vision, setting clear  objectives, expecting teamwork, recognizing outstanding performance and maintaining open  communications 

• Develop staff through coaching, providing performance feedback, providing effective performance  assessments and establishing performance and development plans 

• Influence, collaborate and partner with teams and leaders across the organization 

Required Minimum Position Qualifications: Master’s degree in Statistics, Data Science, Business Analytics  and Information Management, or related field of study and 2 years of experience in the job offered or  any related occupation in which the required experience was gained. In lieu of a Master’s degree in  Statistics, Data Science, Business Analytics and Information Management, or related field of study, the  employer will also accept a Bachelor’s degree in Statistics, Data Science, Business Analytics and  Information Management, or related field of study and 5 years of experience in the job offered or any  related occupation in which the required experience was gained. 

Position also requires demonstrated experience in the following: 

• Using Python, R, on cloud servers to explore business performance data to create insight.  Methods can include clustering, market basket analysis, regression analysis, and descriptive  analysis 

• Scaling predictive models and optimization algorithms for marketing use cases • Machine learning theory and techniques used for creating predictive models, including  understanding of gradient boosting techniques and loss functions. 

• Creating personalization models to improve targeting across channels 

• Developing and applying A/B testing frameworks to test model and marketing strategy  effectiveness, proficient in a variety of bias correction methods and apply according to the  specific situation 

• Creating reports about model/analysis results using data visualization with tools such as  Google slides/worksheet, Tableau, Looker, Streamlit, or Power BI

• Data ETL (extract, transform, load) with SQL or Google Big query, to pull and analyze large  and complex datasets, proficient in advanced syntaxes. 

To Apply: To apply, email resume to new.talent@kohls.com, OR submit a resume to  https://jobcenterofwisconsin.com/Login.aspx, OR submit a resume to https://careers.kohls.com/.  Must reference Job Title & Job Code: 000252. 

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