Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
NY 55 Thomas St
Live, first seen by us 15 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
The Pricing Optimization Associate supports pricing analytics and decision support across Gap brand.
Complete recurring pricing analyses, data preparation, model inputs, scenario runs, reporting, and recommendation materials using established methods and templates.
Complete recurring pricing analyses, data prep, scenario runs and recommendation materials
Check data and outputs for accuracy and escalate inconsistencies or risks
Prepare summaries and visuals explaining findings and business implications
Support promotion, markdown and yield-management scenarios
Maintain records of assumptions, outputs and actions in the decision log
The Pricing Optimization Associate supports pricing analytics and decision support across Gap brand. In this role, you will complete foundational analyses and prepare inputs for pricing strategy, price testing, competitive pricing insights, pricing architecture, promotion scenario planning, markdown optimization, yield management, and forecast tuning. This role operates as part of Gap Inc.'s Pricing, Planning Analytics, and Inventory Optimization function, working with business partners and more experienced team members while following consistent decision standards, approved AI-enabled tools, and transparent analytical methods.What You'll Do
Complete recurring pricing analyses, data preparation, model inputs, scenario runs, reporting, and recommendation materials using established methods and templates.
Complete recurring pricing analyses, data preparation, model inputs, scenario runs, reporting, and recommendation materials
Check data and outputs for completeness and accuracy; identify inconsistencies, risks, and patterns, and escalate questions when needed.
Prepare clear summaries, visuals, and decision-support materials that explain findings and relevant business implications.
Support pricing, promotion, markdown, and yield-management scenarios
Maintain accurate records of assumptions, outputs, approvals, actions, and hindsights in the decision log.
Bachelor degree required in business, economics, finance, analytics, mathematics, statistics, engineering, retail, or related field.
1+ years of relevant analytical experience in retail, planning, pricing, inventory, finance, data analytics, consulting, or related fields.
Structured learner who follows established methods, asks thoughtful questions, and communicates clearly.
Who You Are - Bachelor degree required in business, economics, finance, analytics, mathematics, statistics, engineering, retail, or related field. - 1+ years of relevant analytical experience in retail, planning, pricing, inventory, finance, data analytics, consulting, or related fields.
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$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Day 15
Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Exposure to retail, apparel, consumer products, consulting, finance, data analytics, planning, pricing, inventory, or merchandising preferred. - Comfort using Excel and data tools; exposure to BI platforms, SQL, Python, forecasting, optimization, pricing tools, or AI-enabled workflows preferred. - Structured learner who follows established methods, asks thoughtful questions, and communicates clearly.
Complete your application on gapinc.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Analytical Execution
Scenario Support and Insight Development
Tools, AI and Continuous Learning
Business Partnership and Quality Contribution
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NY 55 Thomas St
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