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Senior Pricing Analytics Analyst; Remote

Remote / Online - Candidates ideally in
Menomonee Falls, Waukesha County, Wisconsin, 53051, USA
Listing for: Kohl's
Remote/Work from Home position
Listed on 2026-03-11
Job specializations:
  • Finance & Banking
    Financial Analyst
  • Business
    Financial Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Senior Pricing Analytics Analyst (Remote)

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 a 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
  • 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.
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Position Requirements
10+ Years work experience
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