Senior Pricing Analytics Analyst (Remote)

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Kohl's. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. About The Role In this role, you will analyze pricing data, drive decision-making in alignment with broader analytics and company initiatives and collaborate cross-functionally both inside analytics and across the company What You’ll Do

• 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
• Partner cross-functionally with merchandising and pricing teams
• Additional tasks may be assigned

Required What Skills You Have

• Bachelor’s degree in Business, Finance, Economics, Marketing or a related field
• Proven experience as a Pricing Analyst, preferably in the retail sector
• 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
• Excellent communication skills, with the ability to present complex data to non-technical stakeholders
• Strong organizational and problem-solving abilities
• Excellent attention to detail
• Ability to manage multiple projects and meet deadlines

Preferred

• Knowledge of retail pricing and merchandising processes
• Familiarity with ERP and pricing software solutions
• Experience in dynamic or competitive pricing environments

If you have questions about this posting, please contact support@lensa.com