Manager, Personalization Analytics

Job Title

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 , OR submit a resume to , OR submit a resume to  Must reference Job Title & Job Code: 000252.