Data Analyst Internship

Grey State Apparel•New York City, NY

9d•Remote

About The Position

At Grey State Apparel, we pride ourselves on creating stylish, high-performance clothing designed for today’s active, modern lifestyle. Our products merge quality, comfort, and fashion, built for individuals who value both performance and style. As a growing brand, we’re looking for a data-driven intern who can help us analyze key business metrics and provide actionable insights to fuel our marketing and sales strategies. Role Overview: As a Paid Data Analyst Intern, you will support our team by analyzing large datasets to help us make informed decisions about product performance, customer behavior, and marketing effectiveness. You’ll work closely with our marketing and product teams, gaining hands-on experience in data collection, analysis, and reporting while contributing to projects that directly influence the company’s growth.

Requirements

Currently pursuing or recently graduated with a degree in Data Science, Business Analytics, Statistics, or a related field.
Proficiency in Excel or Google Sheets (pivot tables, data functions, charts).
Ability to draw meaningful insights from raw data and present them in a clear and concise manner.
Strong written and verbal communication skills, with the ability to explain complex data insights to non-technical teams.
Excellent organizational skills and a meticulous approach to data integrity.
Ability to collaborate effectively with a remote team in a fast-paced environment.

Nice To Haves

Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Familiarity with SQL and data extraction methods is a bonus.
A keen interest in fashion, lifestyle, and data-driven decision-making is a huge plus!

Responsibilities

Collect, clean, and analyze large datasets from various sources, including e-commerce platforms, customer feedback, and marketing campaigns.
Create and update dashboards and reports to track sales trends, customer engagement, and campaign performance.
Identify key patterns and trends in customer behavior to provide actionable recommendations for marketing, product development, and sales strategies.
Present complex data in simple, actionable visual formats using tools like Excel, Google Sheets, Tableau, or Power BI.
Assist in conducting market research to help assess the competition and uncover opportunities for growth.
Work cross-functionally with marketing, sales, and product teams to provide data-driven recommendations for business strategies.