Menomonee Falls, Wisconsin, USA
3 days ago
Senior Manager, Pricing Analytics (Hybrid or Remote)

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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