Product Analytics Manager

Description

The company is an athletic apparel brand that makes clothing for workouts that also works for everyday life, drawing on an active lifestyle in coastal California.

The team is hiring a Product Analytics Manager to sit within Merchandising. This person turns product and sales data into insights that guide product, merchandising, and assortment choices. The role works closely with Merchandising, Planning, Strategy, and Data & Analytics to sharpen how product performance is judged, how newness and assortment productivity are measured, and how decisions are made across the product lifecycle.

Responsibilities

• Run regular and one-off analyses of product and merchandising results by channel, market, product hierarchy, and attribute, covering demand, revenue, margin, sell-through, inventory, weeks of supply, markdowns, returns, and forecast accuracy.
• Find risks and opportunities in the data and explain them in commercial terms.
• Lead the creation of product lifecycle models and analytical frameworks that inform investment, replenishment, markdown, and exit decisions aimed at higher profit.
• Measure the performance and added value of new products, carryover products, color extensions, and refreshes.
• Assess assortment breadth, depth, productivity, and balance.
• Build frameworks and tools for expanding, trimming, localizing, and structuring assortments and managing their lifecycle.
• Turn business questions into clear analytical requirements and present findings concisely.
• Work with Merchandising, Planning, Strategy, Wholesale, International, and Data & Analytics teams.
• Partner with Data Engineering, Business Intelligence, and Analytics 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 attributes, hierarchies, metrics, and data models.
• Improve the accuracy, consistency, and usability of product attributes, hierarchies, and merchandising data.
• Automate recurring analyses, fill reporting gaps, and build scalable tools for both executive summaries and detailed product analysis.
• Explore advanced analytics and emerging technologies, including AI-enabled tools, to speed up and improve product insights.

Requirements

• At least 7 years of experience in product analytics, merchandising analytics, retail analytics, business analytics, merchandise planning, or a related field.
• Experience in apparel, footwear, consumer products, specialty retail, or another product-driven business is preferred.
• A bachelor's degree in Business, Analytics, Economics, Finance, Statistics, Data Science, or a related field. An advanced degree is a plus, and equivalent years of experience are also preferred.
• Strong analytical and logical reasoning, including structuring business questions, setting up measurement frameworks, and turning results into actions.
• Solid grasp of merchandising concepts, product hierarchies, product attributes, and how products perform across their lifecycle.
• Advanced Excel and SQL skills, plus working knowledge of Python for data transformation, workflow automation, and building analytical models.
• Expert-level skill with BI and visualization tools such as Tableau, Power BI, or Strategy, including designing data models, building scalable dashboards, and rolling out governed self-service reporting.
• Collaborative, organized, and detail-oriented, able to juggle several priorities in a busy environment.

Conditions

The salary range is $127,100 to $163,485 per year.

All applicant information is kept confidential in line with EEO guidelines.

Benefits

• Health insurance.
• Savings and retirement plan.
• Employee assistance program.
• Generous discount on company products and industry perks.
• Paid time off.
• Wellness and fitness benefits.
• Bonus eligible.