AI-Enabled Pricing Analytics Specialist

Gap

San Francisco (CA)

On-site

USD 94,000 - 122,000

Full time

2 days ago
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Benefits offered by this job

Merchandise discount
Paid Time Off
Volunteer hours
401(k) match
Employee stock purchase plan
Insurance benefits

Job summary

Gap Inc. is hiring a Senior Analyst, Pricing Optimization in San Francisco to own day-to-day pricing models, data prep, and validation of outputs. You will support pricing and promotions analytics, ensuring clean, well-structured analyses for business partners and finance.

This is an individual contributor role within a fast-evolving pricing function. You will work with elasticity inputs, sensitivity parameters, and promotional variables while building your skills in AI-enabled pricing and data

Qualifications

  • Bachelor’s degree required.
  • 1–4 years of pricing analytics, demand planning, or related field.
  • Foundational analytical skills; ability to build proficiency in pricing model execution.
  • Experience with AI-generated outputs and human oversight before decisions.

Responsibilities

  • Prepare and maintain pricing data for analysis and modeling.
  • Run pricing models and scenario analyses under supervision.
  • Quality-check outputs from pricing agents for accuracy.
  • Monitor in-season pricing actions and surface risks/opportunities.
  • Use AI reporting tools and pricing platforms daily, ensuring data integrity.

Skills

Pricing analytics
Data preparation
Elasticity inputs
Scenario modeling
AI outputs review

Education

Bachelor's degree

Tools

Pricing platforms
AI reporting tools

Job description

Gap Inc. is hiring a Senior Analyst, Pricing Optimization in San Francisco to own day-to-day pricing models, data prep, and validation of outputs. You will support pricing and promotions analytics, ensuring clean, well-structured analyses for business partners and finance.

This is an individual contributor role within a fast-evolving pricing function. You will work with elasticity inputs, sensitivity parameters, and promotional variables while building your skills in AI-enabled pricing and data

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