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Beverly Hills, California, United States
Onsite
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
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.
Key Responsibilities
Exploratory Data Analysis: Conduct complex, deep-dive exploratory data analysis to proactively identify non-obvious, actionable insights and significant trends that directly influence business strategy and investment.
Dashboards & Executive Reporting: Design, build, and maintain a standardized suite of interactive dashboards and executive-level reports, utilizing advanced visualization techniques to effectively communicate data narratives to senior stakeholders.
Machine Learning Solutions: Develop, build, and productionize robust Machine Learning (ML) models using SQL and Python designed to solve critical business challenges (e.g., forecasting, recommendation engines).
Dynamic Pricing Algorithms: Design, implement, and maintain dynamic pricing algorithms to optimize profit margins and drive revenue growth across the e-commerce platform.
AI Agent Integration: Integrate and manage autonomous AI agents to streamline complex workflows, enhance customer interactions, and drive operational efficiency.
A/B Testing & Optimization: Manage end-to-end A/B testing on the e-commerce website to drive continuous improvements in user engagement and sales conversions.
Innovation & AI Proofs-of-Concept: Drive innovation by proactively researching, experimenting with, and building proofs-of-concept for how Artificial Intelligence (AI) or advanced methodologies can solve business problems.
Data Storytelling & Stakeholder Delivery: Deliver business recommendations to internal and external stakeholders based on data analysis by creating visual dashboards, charts, and reports to visualize data, communicate findings, and propose solutions.
Cross-Functional Analytics SME: Act as the primary analytical subject matter expert for cross-functional teams (e.g., Marketing, Product, Finance), ensuring data integrity, consistency, and alignment on core Key Performance Indicators (KPIs).
Data Quality & Collaboration: Collaborate with other team members to ensure data quality, consistency, and accuracy.
Role Requirements
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
BENEFITS
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.
