Kohl's is looking to solve pricing strategy and revenue optimization problems by analyzing pricing data and driving decision-making in alignment with broader analytics and company initiatives
Requirements
Strong analytical and quantitative skills with proficiency in data analysis tools such as Excel, SQL, Python, BI tools
Experience with pricing optimization software and knowledge of pricing models
Knowledge of retail pricing and merchandising processes
Familiarity with ERP and pricing software solutions
Experience in dynamic or competitive pricing environments
Proficiency in data analysis tools such as Excel, SQL, Python, BI tools
Responsibilities
Lead pricing modeling and analysis using sales, promotional landscape, competitor pricing and market trends to develop and recommend effective pricing strategies
Implement and stress-test variety of dynamic pricing models (rule-based, statistical, ML/DL-based, non-linear optimizations) and strategies that align with revenue goals, margin targets and market positioning
Conduct regular competitive pricing analyses to understand the market position and adjust pricing strategies as needed
Monitor industry trends, consumer behavior and competitor promotions to stay informed of market shifts
Utilize pricing and financial software to gather, analyze and interpret pricing performance data
Create detailed reports and dashboards to communicate pricing impacts, trends and opportunities to key stakeholders
Evaluate the impact of pricing changes on revenue and profitability, making data-driven recommendations for adjustments
Other
Bachelor’s degree in Business, Finance, Economics, Marketing or a related field
Proven experience as a Pricing Analyst, preferably in the retail sector
Excellent communication skills, with the ability to present complex data to non-technical stakeholders
Ability to maintain prompt and regular attendance as set by the company
Ability to work at least 8 hours per day, occasionally longer when necessary to meet business needs, 5 days per week
