In 1969, Don and Doris Fisher opened the first Gap store on Ocean Avenue in San Francisco. They wanted to make it easier to find a great pair of jeans, and they did. Their denim and records store was a hit, and it grew to become one of the world’s most iconic brands.

Today we’re represented in more than 1400 stores in over 40 countries, and online. We have headquarters in New York, London, Shanghai, Tokyo, and, of course, San Francisco.

Our unique aesthetic is optimistic cool, elevated American style. Our clothes are crafted with care, with focused attention to thoughtful design. We believe in staying true to our heritage while creating what’s next.

Don and Doris Fisher always wanted to “do more than sell clothes.” They wanted to support the people who ran their company, to be active in their communities, and to have a positive impact on the world. Their vision helped transform retail, and we’re still following their lead.

We stand for freedom and possibility for all; we champion diverse ideas that transcend generations, geographies and genders.

So if you have ideas, if you’re talented, if you want to work with phenomenal people, and if you think we should leave the world a little better than we found it, we’d love to meet you.

About the role:

Gap Inc. is transforming how its brands use data and AI to make faster, more precise commercial decisions, and the Analyst, Pricing Analytics is where that analytical work gets executed. This role is the analytical foundation of the GAP brand's pricing intelligence function: the person who runs the day-to-day analytics, builds models that assess the impact of pricing changes on sales, margin, and inventory, and validates outputs from pricing agents so the team has accurate, well-structured insight ready to inform pricing decisions. Reporting to the Manager, Pricing Analytics, you will support the execution of specific pricing analytics work streams within a single brand, spanning strategic pricing principles, discount spend, and in-season performance. You will develop and run repeatable analyses, track competitive price positioning, and produce clean, accurate analysis that your manager and team bring to Merchandising, Planning, and Finance partners. This role is designed for someone who is analytically precise, curious, and eager to build their skills in an AI-enabled pricing environment.

What you'll do:

Execute Pricing Analytics

Develop and execute repeatable analytics to inform the brand's pricing strategy, architecture, and tactics.

Build models to assess the impact of pricing changes on sales, margin, and inventory.

Support in-season analytics, including reconciling execution against forecasted performance and actuals and building "what if" scenarios for pricing strategies.

Support analysis of discount spend and the measurement of the brand's strategic pricing principles.

Identify opportunities to refine pricing strategies and provide actionable recommendations to cross-functional partners.

Support Competitive Price Positioning

Analyze internal and external data to guide competitive price positioning.

Track competitive price positioning, communicating how the brand is executing compared to aligned benchmarks and validating that we are "doing what we say."

Support Cross-Functional Partners

Collaborate with Merchandising and Planning teams to improve pricing processes and ensure compliance.

Manage relationships with internal stakeholders and external partners on strategic pricing initiatives.

Support continuous process improvement and cross-functional decision-making.

Partner with the Manager, Pricing Analytics on ad-hoc pricing projects and initiatives that enhance overall pricing strategy and business performance.

Apply AI and Contribute to the Function

Apply quality checks to outputs from pricing agents, flagging inconsistencies or gaps before analysis moves forward.

Simplify and automate repeatable, value-driven processes.

Contribute to documentation of analytics processes and benchmarks as the function builds out its standards.

Experience & Qualifications

Bachelor’s degree required. Preferred emphasis on analytics, data science, mathematics, business, supply chain, industrial engineering, finance, accounting, or economics.

1–3 years of experience in pricing analytics, competitive intelligence, or a related field; internship experience is welcome.

Able to manipulate large data sets to interpret patterns and learnings; strong foundational understanding of data structures and algorithms.

Problem solving and decision quality: able to use rigorous logic and some statistical methods to solve problems.

Financial and business acumen: ability to evaluate financial and business indicators and translate data into actionable information to drive results; proficiency in retail math preferred.

Systems and tools acumen: proficiency in Microsoft Excel with an aptitude to learn technical applications quickly; proficiency in Python and/or SQL preferred.