Senior Pricing Analytics Analyst (Remote)

Kohl'sNew York, NY
20hRemote

About The Position

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

Requirements

  • 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

Nice To Haves

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

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