Pricing Analytics Analyst — AI-Driven Insights

Gap; New York (NY); In loco; USD 76.000 - 96.000; Tempo pieno

Vantaggi offerti da questo lavoro

Merchandise discount

401(k) plan with company match

Paid time off

Medical/dental/vision insurance

Employee stock purchase plan

Descrizione del lavoro

Gap Inc. is seeking an Analyst, Pricing Analytics to drive pricing intelligence across the Gap brand in New York. You will run day-to-day analytics, build models, and validate outputs to inform pricing decisions for sales, margin, and inventory.

You will work with Merchandising, Planning and Finance partners to refine pricing strategies, monitor in-season performance, and support ad-hoc pricing projects in an AI-enabled environment.

Competenze

• Bachelor's degree required, analytics/science/economics or related field preferred.
• 1–3 years in pricing analytics, competitive intelligence, or related field; internship welcome.
• Ability to manipulate large data sets and understand data structures/algorithms.
• Strong problem solving and decision-making skills with financial acumen.
• Proficiency in Excel; Python and/or SQL preferred.

Mansioni

• Develop and execute repeatable analytics to inform pricing strategy and tactics.
• Build models to assess pricing changes on sales, margin and inventory.
• Support in-season analytics and what-if scenario analysis.
• Analyze discount spend and validate pricing principles across the brand.
• Collaborate with Merchandising, Planning and Finance partners.

Conoscenze

Pricing analytics

Data analysis

Python

SQL

Excel

Statistical methods

Business acumen

Formazione

Bachelor's degree

Strumenti

Excel

Python

SQL

Descrizione del lavoro

Gap Inc. is seeking an Analyst, Pricing Analytics to drive pricing intelligence across the Gap brand in New York. You will run day-to-day analytics, build models, and validate outputs to inform pricing decisions for sales, margin, and inventory.

You will work with Merchandising, Planning and Finance partners to refine pricing strategies, monitor in-season performance, and support ad-hoc pricing projects in an AI-enabled environment.