Sr. Analyst - Pricing Optimization

About the role

Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions, and the Senior Analyst, Pricing Optimization is where that analytical work gets executed. This role is the analytical foundation of Gap Inc.’s pricing function—the person who runs the day-to-day models, prepares the data, validates outputs from pricing agents, and ensures the team has accurate, well-structured analysis ready to inform every pricing and promotional decision. Reporting to the Manager, Pricing Optimization, you will support the execution of specific pricing and promotional analytics work streams—preparing data, running models, and applying rigorous quality checks to outputs from pricing agents. You will produce clean, accurate analysis that your manager and team bring to business owners and finance partners. This is an individual contributor role designed for someone who is analytically precise, eager to build their skills in an AI-enabled pricing environment, and ready to be a foundational contributor to a function being built from scratch.

Responsibilities

• Execute Pricing Analytics and Data Preparation
  • Prepare and maintain pricing and promotional data for assigned work streams—pulling, cleaning, and organizing retail data sets so they are accurate, complete, and ready for analysis and modeling.
  • Run pricing models and scenario analyses under the direction of the Manager—applying elasticity inputs, sensitivity parameters, and promotional variables to generate outputs that are accurate, well-structured, and ready for review.
  • Apply and quality-check outputs from pricing agents across assigned categories—validating data inputs, flagging anomalies or inconsistencies, and ensuring outputs are accurate before they move forward in the analytical workflow.
  • Support in-season monitoring of pricing actions for assigned work streams—tracking performance against plan, flagging variances, and surfacing data that helps the team identify risks or optimization opportunities quickly.
  • Use AI reporting tools and pricing platforms as a daily analytical tool—interrogating outputs with a critical eye, maintaining data integrity, and escalating to the Manager when outputs require additional human review before informing a decision.
• Support Analysis and Reporting
  • Assemble analytical work into clean, well-organized supporting materials—building the data packages, tables, and summaries that your manager brings to business reviews and stakeholder discussions.
  • Prepare data pulls, performance summaries, and analytical inputs for weekly and monthly