Gap has always been about optimistic American style. Starting with our very first store on Ocean Avenue in San Francisco, opened almost 50 years ago by Doris and Don Fisher. The thread that’s run through those five decades is the phenomenal people that make up our brand – our employees and our customers. People who are rooted in the legacy that makes Gap what it is, but who are also focused on the future. People who want to leave the world better than they found it.
We’ve built our brand on staying true to our roots while always being out in front of what’s next. If you want to be part of an iconic American brand, and help lead the way for where we’re headed, we’d love to have you join us.
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.
Who you are
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.
Leadership & Mindset
- Analytically precise: you take ownership of your work and hold a high personal bar for accuracy.
- Have a willingness to learn and be wrong. You must be able to speak with candor, listen for understanding, and receive feedback with humility.
- Curious and eager to grow, with a collaborative mindset that serves you well on a cross-functional team.
- Operate with a high degree of personal accountability to follow through with what you say you will do.
- Clear, focused communication needed, including an ability to simplify complex topics.
- Possess strong organizational and time management skills, with strong listening, written, and oral communication skills.
- Effective teamwork and partnership, and a genuine interest in building skills in an AI-enabled pricing environment.
Salary Range: $76,400.00 - $95,500.00
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.