Sr. Analyst Pricing Optimization - Navy

About Gap Inc.

At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.

Our portfolio—Old Navy, Gap, Banana Republic, and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers.

Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement.

We’re driven by a shared purpose: to bridge gaps—between people, perspectives, and possibilities—to create a better world.

We’re building a team that performs at a high level—people who think boldly, take ownership, and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.

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 Old Navy’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 Old Navy’s 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.

• Prepare and maintain pricing and promotional data for assigned brand 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.

• 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 business reviews—ensuring pricing performance across assigned categories is accurately captured and clearly organized for the team to build on.
• Develop your ability to translate analytical outputs into plain commercial framing—connecting what the data shows to what it means for margin, revenue, or promotional performance, and communicating that clearly in your deliverables.
• Respond to analytical requests from the pricing team with accuracy and care, building a track record as someone who can be counted on to deliver clean, well‑organized work on time.