Data Analyst, Merchandising

EMINENT, INC.•Cerritos, CA

50d

About The Position

REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit www.revolve.com. At REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000+ based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It’s our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast-paced work environment. Some of the sweetest perks we offer aren’t in a typical benefit package like hefty discount on items we carry – as in 50% or more off retail prices, free weekly lunches, and pretty rad company parties. To take a behind the scenes look at the REVOLVE “corporate” lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve. Are you ready to set the standard for Premium apparel? Main purpose of the Data Analyst, Editorial & Merchandising Strategy We’re looking for a highly analytical, detail-oriented Data Analyst to join the Merchandising team. Unlike traditional BI roles, this position is embedded within the merchandising organization and focused on connecting performance data to our brand storytelling and fashion positioning. Reporting into the Director of Editorial & Merchandising Strategy, you’ll be responsible for aggregating data across channels, analyzing performance through a merchandising and content lens, and delivering clear, actionable insights that help the team make adjustments in real time. Your work will directly inform how we position product, link stories, optimize imagery, refine copy, and ultimately drive traffic and conversion.

Requirements

2–4 years of experience in an analytical role (ideally within retail, e-commerce, or consumer-facing industry).
Advanced Excel and SQL skills; experience with BI/visualization tools (Tableau, Looker, PowerBI, or Domo).
Strong business acumen with the ability to connect data directly to marketing, merchandising, and content strategies.
Skilled at synthesizing complex data into concise, actionable takeaways that non-technical partners can use immediately.
Detail-oriented, proactive, and comfortable working independently in a fast-paced environment.
Excellent communication and presentation skills, with a talent for framing insights within a broader narrative.
A collaborative team player who understands the strategic vision of editorial and merchandising, not just the numbers

Responsibilities

Aggregate and synthesize data from multiple sources (email, site, social, paid, merchandising reports) into a cohesive weekly performance readout.
Translate data into insights tied to editorial and merchandising strategy, highlighting what’s working and what’s not in areas such as imagery, copy, linking strategy, and product performance.
Present weekly findings in a clear, digestible format to merchandising and marketing leadership, enabling quick pivots and real-time adjustments.
Own recurring reporting (weekly, monthly, quarterly) across product categories, campaigns, and trend shops — connecting results back to topline brand and merchandising strategies.
Identify shifts in customer behavior, content engagement, and merchandising opportunities, surfacing recommendations proactively.
Build dashboards and reports using BI tools (ie Tableau or similar) to track KPIs such as sell-through, conversion, AOV, click-through, and engagement.
Partner with BI/data teams to ensure accuracy and consistency of data, while tailoring insights specifically to merchandising and content needs.
Act as the “data translator” within the merchandising team, ensuring analytics are always framed within the context of storytelling