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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in pricing analytics and data preparation, with a strong foundation in pricing model execution and scenario modeling. Capable of utilizing AI-generated outputs and analytical tools to drive insights and optimize pricing strategies.
Highest-signal resume keywords
Pricing AnalyticsData PreparationElasticity InputsAI Reporting ToolsScenario Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Pricing Model ExecutionSensitivity AnalysisPromotional EffectivenessData Quality CheckingAnalytical Outputs Validation
Soft Skills
Clear CommunicationOrganizational SkillsAnalytical Thinking
Tools & Technologies
Reporting PlatformsPricing PlatformsAI Analytical Tools
Industry Keywords
Demand PlanningMerchandise PlanningCommercial AnalyticsRetailConsumer Products
About the role
Key responsibilities & impact- Prepare, clean, organize, and maintain pricing and promotional datasets for assigned work streams
- Run pricing models and scenario analyses under the Manager’s direction using elasticity inputs, sensitivity parameters, and promotional variables
- Apply and quality-check pricing-agent outputs, validate inputs, flag anomalies, and escalate outputs requiring human review
- Monitor in-season pricing actions, track performance against plan, flag variances, and identify risks or optimization opportunities
- Use AI reporting tools and pricing platforms in daily analytical work while maintaining data integrity
- Assemble data packages, tables, summaries, and supporting materials for business reviews and stakeholder discussions
- Prepare data pulls, performance summaries, and analytical inputs for weekly and monthly business reviews
- Translate analytical outputs into commercial implications for margin, revenue, and promotional performance
- Respond accurately to analytical requests from the pricing team
- Contribute to training and refinement of pricing agents by documenting errors, gaps, and recurring patterns
- Help build shared documentation and analytical standards for data preparation, output validation, and model quality review
- Contribute ideas and process improvements as the pricing function scales
Requirements
What you’ll need- Bachelor’s degree required
- 1-4 years of experience in pricing analytics, demand planning, merchandise planning, commercial analytics, or a related field, including internship or co-op experience in retail or consumer products
- Foundational analytical skills and desire to build proficiency in pricing model execution, including data preparation, elasticity inputs, sensitivity analysis, promotional effectiveness, and scenario modeling
- Experience or aptitude for working with AI-generated analytical outputs, including applying, reviewing, and quality-checking outputs from pricing agents
- Comfort with reporting and analytics platforms and ability to learn tools quickly
- Ability to produce clean, well-organized, accurate, and clearly structured analytical work
- Ability to present data and analysis clearly and logically
- Interest in pricing, AI, and retail
- Ability to incorporate store and online customer needs into pricing analyses