Merchandising Pricing & Systems Analyst (Retail)
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Описание вакансии
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
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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