{"schemaVersion":"jobsearcher.job.v1","id":"3a4e2c6fd311ed0fb622be5d","url":"https://jobsearcher.com/jobs/3a4e2c6fd311ed0fb622be5d","canonicalUrl":"https://jobsearcher.com/jobs/3a4e2c6fd311ed0fb622be5d","title":"Manager, Personalization Analytics","description":"Role Specific Information Job Description 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. #LI-DNP #LI-DNI","company":"Kohl's","rawCompany":"kohls","city":"Menomonee Falls","state":"WI","isRemote":false,"isActive":false,"createdAt":"2026-07-19T00:33:38.014Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"13-1161.00","title":"Market Research Analysts and Marketing Specialists","slug":"market-research-analysts-and-marketing-specialists"}],"industries":[{"code":"455110","title":"Department Stores","slug":"department-stores"},{"code":"455219","title":"All Other General Merchandise Retailers","slug":"all-other-general-merchandise-retailers"},{"code":"455211","title":"Warehouse Clubs and Supercenters","slug":"warehouse-clubs-and-supercenters"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager, Personalization Analytics","description":"Role Specific Information Job Description 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. #LI-DNP #LI-DNI","datePosted":"2026-07-19T00:33:38.014Z","dateModified":"2026-07-19T00:33:38.014Z","hiringOrganization":{"@type":"Organization","name":"Kohl's","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menomonee Falls","addressRegion":"WI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3a4e2c6fd311ed0fb622be5d"},"url":"https://jobsearcher.com/jobs/3a4e2c6fd311ed0fb622be5d"}}