Merchandising Analyst

EMINENT, INC.•Cerritos, CA

36d•$75,000 - $80,000

About The Position

The Merch Analyst is responsible for analyzing high-level macro trends across all divisions of the business to identify opportunities in product categories, brands, and end-use segments. This role supports the Buying and Planning teams by delivering data-driven insights that inform seasonal strategies, optimize assortment decisions, and drive overall business growth.

Requirements

Strong analytical and critical thinking skills with attention to detail.
Ability to synthesize large data sets into actionable insights.
Excellent communication skills with the ability to influence decision-making across teams.
Proficiency in data visualization and reporting tools.
Curiosity and forward-thinking mindset to anticipate market shifts and emerging trends.
Bachelor’s degree in Business, Economics, Merchandising, or a related field.
2–4 years of experience in retail analytics, merchandising, or planning.
Advanced Excel skills
Strong quantitative and presentation skills
Strong communication and organizational skills

Nice To Haves

Experience in fashion, e-commerce, or consumer trend analytics.
Proficiency in SQL or other data query languages.
Understanding of consumer lifecycle trends and competitive retail landscapes.
Experience collaborating with cross-functional buying, marketing, and planning teams.

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.