Senior Data Analyst

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

As a Senior Data Analyst, you will be a key, high-impact technical driver, responsible for turning complex data into actionable strategies across the organization. This role is ideal for a technically adept and highly autonomous professional who is ready to independently own and execute sophisticated data projects from inception to delivery.

You will master the full analytics lifecycle, operating with minimal supervision: from executing deep-dive exploratory analysis and designing executive-ready data visualizations, to applying advanced skills in SQL and Python to design, build, and productionize robust Machine Learning (ML) models. You must be a proven self-starter with expert analytical and statistical capabilities, capable of translating complex, technical findings into clear, strategic recommendations for senior business stakeholders. If you have a passion for the fashion and e-commerce space, this is a phenomenal opportunity to drive tangible, data-driven results on a fast-growing business.

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Master’s degree or foreign equivalent in Data Science, Engineering Management, or a related field, plus two (2) years of post-baccalaureate experience in the e-commerce field as a Manager, Data Analytics; Data Analyst; or in a related position.

Must have experience with:

• SQL

• Python

• Tableau

• Pricing Analytics

• Business Analytics

• BigQuery