Senior Data Analyst at Fashion Nova

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

• Independently execute complex, deep-dive exploratory data analysis to proactively identify non-obvious, actionable insights and significant trends that directly influence business strategy and investment.
• 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.
• Own the end-to-end development, deployment, and performance monitoring of Machine Learning (ML) models designed to solve critical business challenges (e.g., forecasting, recommendation engines).
• Drive innovation by proactively researching, experimenting with, and building proofs-of-concept for how Artificial Intelligence (AI) or advanced methodologies can solve business problems.
• Scope, conduct, and deliver comprehensive ad-hoc analysis for the most ambiguous business questions, providing clear, well-supported conclusions and strategic recommendations.
• 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).
• Continuously evaluate and optimize existing data processes, tooling, and methodologies to enhance the speed and quality of analytical output.

Role Requirements

• 2-3 years of progressive, relevant experience in a Data Analyst or similar quantitative role.
• Bachelor's or Master's degree in a quantitative field (e.g., Applied Statistics, Mathematics, Data Science, Computer Science, Economics).
• Expert-level analytical, critical thinking, and structured problem-solving skills, with a proven ability to handle ambiguous and unstructured problems.
• Advanced proficiency in SQL, including deep experience writing highly complex queries, tuning query performance, and implementing robust data quality checks.
• Strong programming skills in Python with practical experience utilizing libraries for data manipulation (e.g., Pandas), statistics, and machine learning (e.g., Scikit-learn, TensorFlow, PyTorch).
• Proven expertise with data visualization tools such as Looker, Tableau, or PowerBI
• Deep understanding and practical application of statistical concepts (e.g., hypothesis testing, regression analysis, experimental design/A/B testing).
• Proven experience with the full Machine Learning lifecycle, including feature engineering, model selection, hyperparameter tuning, cross-validation, and production deployment.
• Experience operating within a cloud data platform environment (e.g., Snowflake, Amazon Web Services (AWS), or Google Cloud Platform (GCP)).
• Exceptional communication and presentation skill
• Passion for the fashion industry and e-commerce is highly valued.

BENEFITS 

• NEW state-of-the-art HQ upcoming in 2025!
• 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.