Senior Manager, Pricing Analytics (Hybrid or Remote)
Kohl's
About the Role
As Senior Manager of Pricing Analytics, you will lead and oversee Kohl’s pricing analysis. You will effectively manage a team, drive data-driven decision-making and align analytics initiatives with Kohl’s business goals.
What You’ll Do
+ Oversee all pricing analytics activities, including partnering with stakeholders toward the development and implementation of analytics-based pricing strategies
+ Utilize predictive modeling, experimentation, statistical analysis and data visualization techniques to understand price elasticities and optimize pricing decisions
+ Implement and promote a test-and-learn approach to pricing strategies, experimenting with different methodologies to identify the most effective solutions
+ Manage multiple projects simultaneously, ensuring timely delivery and adherence to high-quality standards
+ Coordinate with cross-functional teams to ensure alignment and execution of initiatives
+ Build and maintain strong relationships with key stakeholders, understanding and addressing their analytical needs
+ Present findings, insights and strategic recommendations to senior leadership and other stakeholders, ensuring all communications are clear, concise and tailored to the audience
+ Lead, manage and mentor a team of pricing analysts and data scientists
+ Encourage a culture of innovation, experimentation and continuous improvement
+ Additional tasks may be assigned
What Skills You Have
Required
+ Bachelor’s degree in Economics, Statistics, Data Science, Business or a related field
+ 7+ years of analytics experience
+ Strong leadership skills with a track record of managing and developing teams
+ Excellent project management abilities with a focus on delivering quality results
+ Exceptional strategic thinking and decision-making skills, with the ability to align analytics with business goals
+ Proven ability to manage stakeholder relationships and communicate effectively with senior leadership
+ Strong business acumen with deep knowledge of the retail industry.
+ Excellent written and verbal communication skills
+ Expertise in data analysis tools and software (e.g., SQL, Python, R, Tableau, Power BI)
Preferred
+ Master’s degree
+ Prior experience in pricing analytics
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