Associate Data Analyst presso 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 an Associate Data Analyst, you will be instrumental in turning data into knowledge, directly contributing to data-informed decision-making across the business. This role is ideal for an ambitious, analytical thinker who is eager to apply their foundational skills in a fast-paced e-commerce environment and grow into a subject matter expert.

You will support the full analytics lifecycle by performing exploratory analysis, assisting with the design of impactful data visualizations, and helping to build and refine data processes. While you will begin with structured tasks, you will have opportunities to utilize your foundational knowledge in SQL and Python and learn about advanced techniques like Machine Learning.

We are looking for a highly motivated, self-directed learner with strong analytical and statistical abilities. You must be able to translate complex findings into clear, digestible recommendations for technical and non-technical partners. If you have a passion for the fashion industry and e-commerce, this is a fantastic opportunity to start your career and make a tangible, data-driven impact on a fast-growing business

Key Responsibilities

• Perform foundational exploratory data analysis to identify emerging patterns, trends, and initial insights that can inform business decisions.
• Assist in the design, build, and maintenance of interactive dashboards and reports using visualization tools to effectively communicate key findings.
• Support senior analysts and data scientists on more complex data modeling initiatives, including tasks related to preparing data for Machine Learning (ML) model development.
• Research and learn about how Artificial Intelligence (AI) and new methodologies can advance business goals, and contribute to initial proofs-of-concept or testing under supervision.
• Conduct routine and moderately complex ad-hoc data analysis to address specific business questions, clearly summarizing methodology and preliminary conclusions.
• Collaborate effectively with cross-functional teams to ensure high data quality, consistency, and alignment across projects.
• Stay current on the latest data analysis techniques and tools 

Role Requirements

• Open to recent university graduates or candidates with up to 1 year of relevant internship/professional experience.
• Bachelor's or Master's degree in a quantitative field (e.g., Applied Statistics, Mathematics, Data Science, Computer Science, Economics, etc.).
• Strong analytical, critical thinking, and structured problem-solving skills.
• Working proficiency in SQL (e.g., comfortable writing and understanding multi-table joins and basic subqueries).
• Working proficiency in a programming language like Python or R with a willingness to specialize in Python for data analysis.
• Experience with or a demonstrated ability to quickly learn data visualization tools such as Looker, Tableau, or PowerBI.
• Solid understanding of core statistical concepts and techniques (e.g., hypothesis testing, descriptive statistics).
• Familiarity with foundational data science concepts such as data cleaning, model evaluation, and cross-validation is a plus.
• Exposure to cloud data platforms like Snowflake, Amazon Web Services (AWS), or Google Cloud Platform (GCP) is beneficial.
• Proactive, self-directed learner with a high aptitude and a strong desire to stay current with new data methodologies.
• Passion for the fashion industry and e-commerce is a plus

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.