Pricing Optimization Analyst
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Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical and modeling skills to support pricing strategies and decision-making processes. Proficient in using data tools and AI-enabled workflows to deliver accurate insights and recommendations in a retail environment.
Highest-signal resume keywords
Analytical ExperienceData AnalyticsExcel ProficiencyPricing Tools ExposureCommunication Skills
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- 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 explaining findings and business implications
- Maintain accurate records of assumptions, outputs, approvals, actions, and hindsights in the decision log
- Support pricing, promotion, markdown, and yield-management scenarios
- 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 and support approved price actions
- Share analyses across Planning, Pricing, and Inventory Optimization
- Use approved AI-enabled tools, models, dashboards, and agents responsibly; validate outputs against source data and business context
- Build knowledge of Gap Inc. planning, pricing, inventory, merchandising, and financial processes
- Follow established workflows and contribute ideas to improve templates, data quality, recurring work, and insight usability
- Deliver accurate, timely work; communicate progress and risks, seek feedback, and support business partners
Requirements
What you’ll need- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data PreparationModel InputsScenario AnalysisElasticity AnalysisReportingDecision SupportData ValidationForecastingOptimizationStatistical Analysis
Soft Skills
Detail-OrientedCollaborativeCommercially CuriousStructured LearnerEffective Communicator
Tools & Technologies
ExcelBI PlatformsSQLPythonAI-Enabled Tools
Industry Keywords
RetailPricingInventory ManagementMerchandisingFinanceConsumer ProductsPlanningConsultingData AnalyticsMarkdown Management