Product Analytics Manager

• Develop recurring and ad hoc analyses of product and merchandising performance across channels, markets, product hierarchies, and attributes, evaluating key metrics such as demand, revenue, margin, sell-through, inventory, weeks of supply, markdowns, returns, and forecast performance.

• Develop recurring and ad hoc analyses of product and merchandising performance across channels, markets, product hierarchies, and attributes, evaluating key metrics such as demand, revenue, margin, sell-through, inventory, weeks of supply, markdowns, returns, and forecast performance.
• Lead the development of product lifecycle models and analytical frameworks that guide investment, replenishment, markdown, and exit decisions to maximize profitability.

• Assess the performance and incremental contribution of new products, carryover products, color extensions, and product refreshes. Evaluate assortment breadth, depth, productivity, and balance.

• Assess the 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 that support product expansion, rationalization, localization, assortment architecture, and lifecycle management.

• Build strong partnerships with Merchandising, Planning, Strategy, Wholesale, International, and Data & Analytics teams.

• Build strong partnerships with Merchandising, Planning, Strategy, Wholesale, International, and Data & Analytics teams.
• Translate business questions into clear analytical requirements and communicate findings in a concise, commercially relevant way.
• Collaborate with Data Engineering, Business Intelligence, and Analytics teams to improve data models, reporting workflows, dashboards, and self-service tools.

• 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. Improve the accuracy, consistency, and usability of product attributes, product hierarchies, and merchandising data.
• Identify opportunities to automate recurring analyses, close reporting gaps, and develop scalable tools that support both executive summaries and detailed product-level analysis.
• Explore advanced analytics and emerging technologies, including AI-enabled tools, to improve the speed, quality, and accessibility of product insights.

• 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 a similarly product-driven business is strongly preferred.
• Bachelor’s degree in Business, Analytics, Economics, Finance, Statistics, Data Science, or a related field. An advanced degree is a plus or equivalent years of experience preferred.
• Strong analytical and logical thinking skills, with the ability to structure business questions, define appropriate 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 a fast-paced environment.