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Salary: USD 127,100 - 163,485 / annual
Vuori, an athletic apparel company redefining casual-aesthetic activewear, is seeking a Product Analytics Manager to join the Merchandising team. This role is responsible for delivering data-driven insights that inform product, merchandising, and assortment decisions across the business.
Key Responsibilities:
Product Performance Analytics & Insights: Develop recurring and ad hoc analyses of product and merchandising performance across channels, markets, product hierarchies, and attributes. Evaluate key metrics including demand, revenue, margin, sell-through, inventory, weeks of supply, markdowns, returns, and forecast performance. Lead development of product lifecycle models and analytical frameworks that guide investment, replenishment, markdown, and exit decisions to maximize profitability.
Assortment Reporting & Tools: Assess performance and incremental contribution of new products, carryover products, color extensions, and product refreshes. Evaluate assortment breadth, depth, productivity, and balance. Develop analytical frameworks and tools supporting product expansion, rationalization, localization, assortment architecture, and lifecycle management.
Cross-Functional Collaboration: Build strong partnerships with Merchandising, Planning, Strategy, Wholesale, International, and Data & Analytics teams. Translate business questions into clear analytical requirements and communicate findings in commercially relevant ways. Collaborate with Data Engineering, Business Intelligence, and Analytics teams to improve data models, reporting workflows, dashboards, and self-service tools.
Data Quality & Continuous Improvement: Own and maintain an ETL-enabled Product analytics sandbox for prototyping, testing, and validating new product attributes, hierarchies, metrics, and data models. Champion product attributes by improving accuracy, consistency, and usability of product data. Identify opportunities to automate recurring analyses, close reporting gaps, and develop scalable tools. Explore advanced analytics and AI-enabled tools to improve speed, quality, and accessibility of product insights.
Requirements:
- 7+ years of experience in product analytics, merchandising analytics, retail analytics, business analytics, merchandise planning, or related field
- Experience in apparel, footwear, consumer products, specialty retail, or similarly product-driven business strongly preferred
- Bachelor's degree in Business, Analytics, Economics, Finance, Statistics, Data Science, or related field (advanced degree or equivalent experience preferred)
- Strong analytical and logical thinking skills with ability to structure business questions, define measurement frameworks, and translate findings into actionable insights
- Strong understanding of merchandising concepts, product hierarchies, product attributes, and product lifecycle performance
- Advanced proficiency in Excel and SQL, with working knowledge of Python for data transformation, workflow automation, and analytical model development
- Expert-level proficiency in data visualization and business intelligence tools such as Tableau, Power BI, or Strategy, including hands-on experience designing data models, developing scalable dashboards, and deploying governed self-service reporting solutions
- Highly collaborative, organized, detail-oriented, and comfortable managing multiple priorities in fast-paced environment
