Merchandising Analytics Specialist

Revolve Group; Cerritos (CA); On-site; USD 75,000 - 80,000; Full time

Benefits offered by this job

50%+ employee discount

Free weekly lunches

Dynamic team culture

Job summary

REVOLVE is hiring a Merchandise Analyst in Cerritos, CA to analyze macro and micro merchandising trends and support strategic decisions across buying and planning. You will deliver data-driven insights to optimize assortment, pricing, and inventory.

The role requires 2–4 years in retail analytics with strong Excel and presentation skills, plus knowledge of SQL and data visualization tools. Competitive salary in the mid-to-high range for the market.

Qualifications

• Bachelor’s degree required with 2–4 years in retail analytics, merchandising, or planning.
• Strong Excel skills and ability to present data clearly.
• Experience with data visualization and reporting tools preferred.

Responsibilities

• Analyze macro and micro merchandising trends across categories and brands to identify growth opportunities.
• Evaluate seasonal performance by division, trend, and consumer behavior to guide forward planning.
• Prepare and maintain reports summarizing key trends, market shifts, and competitor positioning.
• Partner with Buying and Planning teams to develop strategic recommendations for assortment, pricing, and inventory.
• Track and interpret sell-through performance, identifying wins, misses, and improvement areas.
• Present insights and data visualizations to leadership to inform decision-making.
• Support the creation of long-term merchandise strategies based on trend forecasting and data analytics.

Skills

Analytical skills

Advanced Excel

SQL

Data visualization

Communication skills

Presentation skills

Education

Bachelor’s degree in Business, Economics, Merchandising, or a related field

Tools

SQL

Job description

REVOLVE is hiring a Merchandise Analyst in Cerritos, CA to analyze macro and micro merchandising trends and support strategic decisions across buying and planning. You will deliver data-driven insights to optimize assortment, pricing, and inventory.

The role requires 2–4 years in retail analytics with strong Excel and presentation skills, plus knowledge of SQL and data visualization tools. Competitive salary in the mid-to-high range for the market.