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About the Role

Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions. The Analyst, Pricing Optimization is the analytical foundation of the brand's pricing function, executing day-to-day models, preparing data, validating outputs, and ensuring accurate analysis to inform pricing and promotional decisions. This individual contributor role is 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, applying elasticity inputs, sensitivity parameters, and promotional variables.
Quality-check outputs from pricing agents across assigned categories, validating data inputs and flagging anomalies.
Support in-season monitoring of pricing actions, tracking performance against plan and flagging variances.
Use AI reporting tools and pricing platforms as a daily analytical tool, interrogating outputs and maintaining data integrity.
Assemble analytical work into clean, well-organized supporting materials for business reviews.
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, connecting data to margin, revenue, or promotional performance.
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 by documenting and sharing observations.
Help build shared documentation and analytical standards for the team.
Bring a curious, builder’s mindset to the function, asking questions and contributing ideas for process improvement.

Requirements

Bachelor’s degree required.
1-4 years of experience in pricing analytics, demand planning, merchandise planning, commercial analytics, or a related field.
Internship or co-op experience in retail or consumer products.
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; ability to learn tools quickly.
Demonstrated ability to produce clean, well-organized analytical work.
Analytically precise: high personal bar for data accuracy and ownership.
Commercially curious: desire to understand why numbers matter and connect analytical work to business outcomes.
Clear and organized communicator: ability to present data and analysis in an easy-to-follow manner.
AI-partnership mindset: engage with pricing agents and tools with curiosity and rigor.
Eager to grow: genuine interest in pricing, AI, and retail; actively seek to build skills.

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

Location

Remote

Work Type

Full-time

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.