Analyst - Pricing Optimization

About the Role

What You'll Do

Analytical Execution

• Complete recurring pricing analyses, data preparation, model inputs, scenario runs, reporting, and recommendation materials using established methods and templates.
• Check data and outputs for completeness and accuracy; identify inconsistencies, risks, and patterns, and escalate questions when needed.
• Prepare clear summaries, visuals, and decision-support materials that explain findings and relevant business implications.
• Maintain accurate records of assumptions, outputs, approvals, actions, and hindsights in the decision log.

Scenario Support and Insight Development

• Support pricing, promotion, markdown, and yield-management scenarios; learn how revenue, margin, sell-through, customer value, and inventory exposure shape trade-offs.
• Analyze elasticity, competitive, category, channel, and customer signals and summarize implications for pricing recommendations and guardrails.
• Coordinate with GMM, Merchandising, Planning, Inventory Optimization, Pricing Operations, and Finance to gather inputs, confirm execution constraints, and support approved price actions.
• Share analyses with peers across Planning, Pricing, and Inventory Optimization to connect work and reduce siloed execution.

Tools, AI and Continuous Learning

• Use approved AI-enabled tools, models, dashboards, and agents responsibly; validate outputs against source data, business context, and known constraints, seeking guidance for exceptions.
• Build knowledge of Gap Inc. planning, pricing, inventory, merchandising, and financial processes and apply that knowledge to assigned work.
• Follow established workflows and contribute practical ideas to improve templates, data quality, recurring work, and the usability of insights.

Business Partnership and Quality Contribution

• Deliver accurate, timely work; communicate progress and risks, seek feedback, and bring curiosity, responsiveness, and a service mindset to business partners and team members.

Who You Are

• Bachelor degree required in business, economics, finance, analytics, mathematics, statistics, engineering, retail, or related field.
• 1+ years of relevant analytical experience in retail, planning, pricing, inventory, finance, data analytics, consulting, or related fields.
• Foundational analytical, modeling, communication, and storytelling skills, with the ability to turn data into clear findings and practical next steps.
• Exposure to retail, apparel, consumer products, consulting, finance, data analytics, planning, pricing, inventory, or merchandising preferred.
• Comfort using Excel and data tools; exposure to BI platforms, SQL, Python, forecasting, optimization, pricing tools, or AI-enabled workflows preferred.
• Structured learner who follows established methods, asks thoughtful questions, and communicates clearly.
• Commercially curious and detail-oriented; interested in how customer, product, revenue, margin, inventory, service, and execution factors connect.
• Enterprise-minded and brand-aware; applies common standards while learning relevant brand context.
• Comfortable using AI-enabled tools and agentic workflows with human review, appropriate validation, and timely escalation of exceptions or risks.
• Collaborative team member who builds trust, responds with urgency, welcomes feedback, and contributes to continuous improvement.