9 дней назад
Product Analytics Manager (Retail)
127 100 - 163 485$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Product Analytics Manager (Retail): Delivering data-driven product, merchandising, and assortment insights across the product lifecycle with an accent on product performance, assortment productivity, and merchandising data quality. Focus on building lifecycle models, scalable reporting tools, ETL-enabled analytics sandboxes, and AI-enabled approaches to improve product decision-making.
Location: Onsite in Carlsbad, California, USA
Salary: USD 127,100–163,485 per year, bonus eligible
Company
designs athletic apparel with a casual aesthetic inspired by an active coastal California lifestyle.
What you will do
- Develop recurring and ad hoc analyses of product and merchandising performance across channels, markets, hierarchies, and attributes.
- Lead product lifecycle models and analytical frameworks supporting investment, replenishment, markdown, and exit decisions.
- Evaluate new products, carryover products, color extensions, and product refreshes, including assortment breadth, depth, productivity, and balance.
- Build tools for product expansion, rationalization, localization, assortment architecture, and lifecycle management.
- Partner with Merchandising, Planning, Strategy, Wholesale, International, Data & Analytics, Data Engineering, and Business Intelligence teams.
- Maintain an ETL-enabled product analytics sandbox, improve data quality, automate recurring analyses, and explore AI-enabled analytics tools.
Requirements
- 7+ years of experience in product, merchandising, retail, business analytics, merchandise planning, or a related field.
- Experience in apparel, footwear, consumer products, specialty retail, or another product-driven business is strongly preferred.
- Bachelor’s degree in Business, Analytics, Economics, Finance, Statistics, Data Science, or a related field, or equivalent experience.
- Advanced proficiency in Excel and SQL, with working knowledge of Python for data transformation, automation, and analytical model development.
- Expert-level proficiency with data visualization and business intelligence tools such as Tableau, Power BI, or Strategy.
- Strong understanding of merchandising concepts, product hierarchies, product attributes, and product lifecycle performance.
Culture & Benefits
- Health insurance and an employee assistance program.
- Savings and retirement plan.
- Paid time off.
- discount, industry perks, and wellness and fitness benefits.
- Equal opportunity and affirmative action employer.
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