Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
About the Role
Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions. This role is the analytical foundation of Old Navy’s pricing function, executing day-to-day models, preparing data, validating outputs, and ensuring accurate analysis for pricing and promotional decisions. You will support the execution of specific pricing and promotional analytics work streams, preparing data, running models, and applying rigorous quality checks. This is an individual contributor role for someone analytically precise, eager to build skills in an AI-enabled pricing environment, and ready to be a foundational contributor to a function being built from scratch.
Responsibilities
- Prepare and maintain pricing and promotional data for assigned brand work streams.
- Run pricing models and scenario analyses.
- Apply and quality-check outputs from pricing agents across assigned categories.
- Support in-season monitoring of pricing actions for assigned work streams.
- Use AI reporting tools and pricing platforms as a daily analytical tool.
- Assemble analytical work into clean, well-organized supporting materials.
- Prepare data pulls, performance summaries, and analytical inputs for weekly and monthly business reviews.
- Develop the ability to translate analytical outputs into plain commercial framing.
- Respond to analytical requests from the pricing team with accuracy and care.
- Contribute to the ongoing training and refinement of the brand's pricing agents.
- Help build shared documentation and analytical standards for the team.
- Bring a curious, builder’s mindset to a function that is being created from scratch.
Requirements
- Bachelor’s degree required.
- 1-4 years of experience in pricing analytics, demand planning, merchandise planning, commercial analytics, or a related field.
- Foundational analytical skills and a strong desire to build proficiency in pricing model execution.
- Experience or an aptitude for working with AI-generated analytical outputs.
- Comfort with reporting and analytics platforms.
- Demonstrated ability to produce clean, well-organized analytical work.
Skills
- Pricing analytics
- Demand planning
- Merchandise planning
- Commercial analytics
- Data preparation
- Elasticity inputs
- Sensitivity analysis
- Promotional effectiveness
- Scenario modeling
- AI-generated analytical outputs
- Reporting platforms
- Analytics platforms
Experience Level
- 1-4 years
Education Level
- Bachelor's degree
About the Company
- Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions.