Strategic Pricing & Analytics Leader for Merchandising

BP; United States; On-site; USD 200,000 - 350,000; Full time

Job summary

BP seeks a visionary Head of Pricing & Data Analytics - Merchandising to build and lead pricing and analytics capabilities across BP and TA brands. The role will blend data, competitive intelligence, customer insights, and advanced pricing technology to boost sales, margins, inventory productivity, and customer value.

The leader will manage a team of data scientists and analytics professionals, guiding pricing decisions across base, promotional, markdown strategies, and loyalty integrations as

Responsibilities

• Help develop, implement, and continuously improve the use of the enterprise pricing tool/system across BP and TA brands.
• Work across the broader BP organization to identify opportunities to leverage the pricing platform's advanced analytics and AI capabilities.
• Partner with Category Management and Merchandising leadership to establish an effective and consistent pricing framework while recognizing differences in customers, markets, brands, and store formats.
• Help translate the capabilities of the pricing system into practical business processes and actionable recommendations for Category Managers and leadership.
• Drive adoption and effective utilization of the pricing system within Merchandising.
• Develop data-driven recommendations for: Base and everyday pricing; Promotional pricing; Markdown and clearance strategies; Competitive price positioning; Price zones and geographic pricing; Price elasticity and customer response; Margin and sales optimization.
• Establish processes for regularly reviewing pricing performance and identifying opportunities for improvement.
• Ensure pricing recommendations balance customer value, competitive position, sales growth, margin, and long-term category health.

Job description

BP seeks a visionary Head of Pricing & Data Analytics - Merchandising to build and lead pricing and analytics capabilities across BP and TA brands. The role will blend data, competitive intelligence, customer insights, and advanced pricing technology to boost sales, margins, inventory productivity, and customer value.

The leader will manage a team of data scientists and analytics professionals, guiding pricing decisions across base, promotional, markdown strategies, and loyalty integrations as