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Pricing Manager

Worldwide Salaried Open

Job Details

Level ExperiencedJob Location Zelienople, PARemote Type Optional Work from HomePosition Type Full Time

Reporting to the Vice President – Sales Operations, the Pricing Manager will be responsible for developing, implementing, managing, and improving dynamic pricing strategies to maximize profitability and market share. This role requires a deep understanding of pricing tools, market dynamics, competitive analysis, and pricing models.

Key Responsibilities

  • Manage implementation of Company-wide strategic pricing programs to achieve business objectives.
  • Utilize AI and machine learning tools to analyze market trends and optimize pricing decisions.
  • Conduct market research and competitive analysis to inform pricing strategies.
  • Collaborate with sales, marketing, and product teams to align pricing strategies with business goals.
  • Monitor and analyze pricing performance and make recommendations for adjustments.
  • Provide training and support to sales and customer service teams on pricing strategies and tools.
  • Analyze pricing data and market trends to develop pricing strategies that maximize profitability and revenue growth.
  • Conduct research and gather data on customer behavior, competitive pricing, and market trends to recommend pricing adjustments and promotions.
  • Collaborate with cross-functional teams, including Sales, Marketing, and Executive Management, to identify pricing opportunities and risks.
  • Create and maintain pricing models and tools that enable effective pricing decisions.
  • Assist in the development and implementation of pricing policies and procedures.
  • Develop and maintain dashboards and reports that provide insights into pricing performance and trends.
  • Bachelor’s degree in business, Finance, Economics, or a related field.
  • Proven experience in pricing management, preferably in the industrial distribution industry.
  • Proficiency in pricing tools and software, preferably using SPARXiQ/Strategic Pricing programs.
  • Strong analytical skills and the ability to interpret complex data.
  • Experience with AI and machine learning tools for pricing optimization.
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced and dynamic environment.

Originally posted on Himalayas

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