Manager, Personalization Analytics

Responsibilities 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 toward 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. Required Experience and Skills 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. How to Apply To apply, email resume to View email address on click.appcast.io, or submit a resume to or submit a resume to Must reference Job Title & Job Code: 000252. #J-18808-Ljbffr FashionUnited