Assistant Buyer - Women's

ABOUT US

Fashion Nova is the world’s leading trend-to-market fashion and lifestyle brand with high-growth categories across its Women, Men, Kids and Beauty divisions. Renowned for delivering the most-wanted styles to millions worldwide, Fashion Nova earned the title of the Top 5 Most-Searched Fashion Brand on Google in 2022, alongside Louis Vuitton and Nike. 

Founder & CEO Richard Saghian launched the brand in 2006, from a retail location in Los Angeles. After multiple store openings, Saghian launched the e-commerce website for Fashion Nova in 2013, pioneering a disruptive social commerce model of affordable, on-trend, size-inclusive clothing online – powered by an innovative, social media-first marketing strategy. 

Today, Fashion Nova has amassed over 40 million social media followers, with annual sales of approximately $2 billion!

The brand’s name has been featured in chart-topping hit songs by Cardi B, Drake, 21 Savage, Saweetie, The Game, Tyga and Offset and its styles have been worn by many celebrities, artists and athletes including Meg The Stallion, Ice Spice, Chris Brown, Floyd Mayweather, Rick Ross, Kourtney Kardashian, and Kylie Jenner.

ROLE OVERVIEW

The Assistant Buyer on the Women's team will be at the forefront of innovation and style, ensuring our customers have access to the most current trends. You will be responsible for keeping up a reputation in the fashion world that is second to none and will support our Buying teams by analyzing data and assessing trends in the market. You will own assigned categories to ensure products that sell the best are reordered at the best possible cost and quality. 

KEY RESPONSIBILITIES

• Maintain vendor relationships to get the best possible deliveries at optimum cost and quality
• Communicate with vendors on item availability - In stock units by size and other color offerings, incoming stock and pre-orders by size and delivery dates, and custom cut dates and minimum order quantities (MOQs)
• Present recommendations to Planning for approval
• Key purchase orders into the system and upload orders
• Analyze and forecast product performance and inventory levels to make informed decisions on what and how much to buy back into utilizing historical data and trends
• Monitor program buys and core items to manage the flow
• Recommend promotional activity to drive additional sales volume
• Remain at the forefront of industry fashion market trends
• Stay abreast of emerging best practices within the merchandising|buying field

ROLE REQUIREMENTS

• More than one year of experience in Replenishment, Data Analysis, or a similar field
• Experience analyzing data and providing actionable insights 
• Experienced in Excel with the ability to perform complex functions, such as SUMIFS, VLOOKUP, and pivot tables
• Passionate about fashion and trend analysis 
• BA|BS degree or equivalent working experience in financial analysis or similar role
• English, additional language(s) an advantage
• Schedule of this position: Monday – Friday | Core business hours | Onsite

BENEFITS

• NEW state-of-the-art HQ in Beverly Hills!
• Formalized career paths for continued professional growth
• Comprehensive health insurance across Medical, Dental and Vision
• 401k match, with immediate vesting upon eligibility
• Weekly catered lunches & fully-stock kitchen pantry!
• Opportunities to travel for trade shows and vendor meetings
• Summer Fridays Early Departure
• Team bonding events and programs
• Attractive employee discounts!

Fashion Nova, LLC, and subsidiaries thereof, is an Equal Opportunity Employer. We are steadfast in our commitment to equal employment opportunities and pledge that these objectives are reflected in all aspects of our daily operations. We will continue to recruit, hire, train, and advance in employment qualified individuals in all job titles without regard to race, color, national origin, gender, sexual orientation, gender identity, religion, age, status as a protected veteran, criminal history, or status as an individual with a disability; and shall not discriminate against any individual, any such characteristic, nor any other classification protected by local, state and|or federal law.