Product Analytics Manager

Vuori; Carlsbad (CA); On-site; USD 127,000 - 163,000; Full time

Benefits offered by this job

Health Insurance

Savings and Retirement Plan

Employee Assistance Program

Generous Vuori Discount & Industry Per

Paid Time Off

Wellness & Fitness benefits

Job summary

Vuori is seeking a Product Analytics Manager to join our Merchandising team and deliver data-driven insights across product, merchandising, and assortment decisions. You will analyze product performance, identify risks and opportunities, and translate complex data into clear, commercially relevant insights.

You will partner with Merchandising, Planning, Strategy, and Data & Analytics to improve evaluation of product performance, measure newness, and drive decisions throughout the lifecycle.

Qualifications

• 7+ years of experience in product analytics, merchandising analytics, retail analytics, business analytics, or merchandise planning.
• Experience in apparel, footwear, consumer products, or specialty retail preferred.
• Bachelor’s degree in a related field; advanced degree a plus or equivalent experience.
• Strong analytical and logical thinking; translate findings into actionable insights.
• Advanced proficiency in Excel and SQL; working knowledge of Python for data transformation.
• Expert-level data visualization with Tableau/Power BI; develop scalable dashboards.

Responsibilities

• Develop recurring and ad hoc analyses of product and merchandising performance across channels and attributes.
• Lead product lifecycle models and frameworks to guide investment, replenishment, markdown, and exit decisions.
• Assess assortment breadth, depth, productivity, and balance; evaluate new products and expansions.
• Collaborate with Merchandising, Planning, Strategy, Wholesale, International, and Data & Analytics teams.
• Improve data models, dashboards, reporting workflows, and self-service tools with BI teams.
• Own ETL-enabled product analytics sandbox; champion data quality and scalability.

Skills

Analytical thinking

Logical thinking

Collaboration

Product analytics

Retail analytics

Education

Bachelor’s degree in Business, Analytics, Economics, Finance, Statistics, Data Science, or related field

Advanced degree or equivalent experience (plus)

Tools

Excel

SQL

Python

Tableau

Power BI

Job description

Vuori is re-defining what athletic apparel looks like: built to move and sweat in but designed with a casual aesthetic to transition into everyday life. We draw inspiration from an active coastal California lifestyle; an integration of fitness, creative expression and life. Our high energy fast paced retail environment is reflected in the clothes we make. We aim to inspire others to take on all aspects of their lives with clarity, enthusiasm and purpose…while having a lot of fun along the way. We are proud to be an outlet for opportunity and for personal growth and success.

Vuori is re-defining what athletic apparel looks like: built to move and sweat in but designed with a casual aesthetic to transition into everyday life. We draw inspiration from an active coastal California lifestyle; an integration of fitness, creative expression and life. Our high energy fast paced retail environment is reflected in the clothes we make. We aim to inspire others to take on all aspects of their lives with clarity, enthusiasm and purpose…while having a lot of fun along the way. We are proud to be an outlet for opportunity and for personal growth and success.

Job Description

Vuori is looking for a Product Analytics Manager to join our Merchandising team and deliver data-driven insights that inform product, merchandising, and assortment decisions across the business. This individual will analyze product performance, identify risks and opportunities, and translate complex data into clear, commercially relevant insights. Partnering closely with Merchandising, Planning, Strategy, and Data & Analytics, this role will help improve how Vuori evaluates product performance, measures newness and assortment productivity, and makes decisions throughout the product lifecycle.

What you'll get to do:

Product Performance Analytics & Insights

• 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.

Assortment Reporting & Tools

• 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.

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 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.

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. 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.

Qualifications

Who you are:

• 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.

Additional Information

Our investment in you:

At Vuori, we’re proud to offer the following to our employees:

• Health Insurance
• Savings and Retirement Plan
• Employee Assistance Program
• Generous Vuori Discount & Industry Perks
• Paid Time Off
• Wellness & Fitness benefits

The salary range for this role is $127,100 per year - $163,485 per year. This role is bonus eligible.

Vuori is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

All your information will be kept confidential according to EEO guidelines.