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2 дня назад

Merchandising Pricing & Systems Analyst (Retail)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Merchandising Pricing & Systems Analyst (Retail/AI): Developing and maintaining pricing analytics frameworks and translating AI/predictive model outputs into merchant insights with an accent on scalable workflows and technical integration. Focus on operationalizing pricing logic, competitive intelligence, and partnering with Product/Tech teams to build internal tools.

Location: Must be based in the USA (references to Los Angeles, San Francisco, Philadelphia, and US-specific benefits)

Company

hirify.global is a fast-growing luxury e-commerce jeweler dedicated to transparency and sustainability in the jewelry industry.

What you will do

  • Develop and maintain pricing analytics frameworks, including indicators and scenario analyses.
  • Translate AI and predictive pricing model outputs into clear, actionable insights for merchants.
  • Build competitive pricing intelligence frameworks to monitor market positioning and promotional trends.
  • Operationalize pricing analytics into scalable, repeatable workflows to reduce manual effort.
  • Partner with Technology and Product teams on requirements gathering, testing, and adoption of internal pricing tools.
  • Serve as the primary liaison between Merchandising and technical teams to ensure pricing logic is accurately embedded in systems.

Requirements

  • 5+ years of experience in merchandising analytics, pricing strategy, or commercial analytics, ideally within retail, e-commerce, or luxury environments.
  • Strong analytical foundation with experience building pricing models and decision-support frameworks.
  • Experience working with AI/ML pricing models and the ability to communicate their outputs to non-technical audiences.
  • Proficiency in SQL, Excel, and data visualization platforms (Tableau, Looker, Domo, etc.).
  • Deep understanding of retail pricing concepts such as elasticity, margin analysis, and competitive positioning.
  • Bachelor's degree in Business, Economics, Data Science, Statistics, or a related field.

Nice to have

  • Proficiency in Python or R.
  • Experience with UAT and technical tool rollouts.

Culture & Benefits

  • Comprehensive health coverage with medical, dental, and vision plans, including employer HSA contributions.
  • Financial security via 401k matching and disability/life insurance.
  • Wellness support through a Lifestyle Spending Account for gym memberships and mental health resources.
  • Flexible time off through an Open PTO policy and paid parental leave.
  • Continuous growth opportunities via company-sponsored learning and tuition reimbursement.
  • Generous employee discounts on jewelry.

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