Data Analytics Intern Summer 2023

tarte is the pioneer of high-performance naturals™, and one of the fastest growing cosmetic companies in the U.S. Founder & CEO Maureen Kelly set out to create a cruelty-free line of easy-to-use, life-tested products chock full of healthy ingredients that deliver real results to the everyday woman. tarte is committed to sharing our “good-for-you glamour” philosophy with tartelettes worldwide, with in-store presence in over 7 countries, and online shipping to 150 countries and counting! Passionate and fierce individuals make up the tarte team from our New York City headquarters to the on-the-ground sales team sharing our powerful products and message throughout the U.S. and internationally.

Are you a force of nature who thrives in a fast-paced environment? Do you want to contribute to tarte’s mission of offering cruelty-free, eco-chic cosmetics chock full of vitamins, minerals and formulated without any of the icky stuff like parabens, mineral oil, phthalates and gluten? Do you strive to live a healthy, compassionate and environmentally responsible way of life? If so, we’d love to hear from you!

The Data Analytics Intern will be supporting global tarte’s data team. The intern will create and maintain BI tools, manipulate data for standard and customization reports, and perform other duties as assigned by the senior analyst. In this role, the intern will write and/or edit custom SQL queries to fix data issues, conduct data analysis, and create/maintain dashboards.

Responsibilities:

• Other data analysis responsibilities will be on as-needed basis
• Clean and manipulate datasets
• Support ongoing initiatives to improve data integrity necessary to track valuable business insights
• Identify and recommend new ways to increase efficiency
• Participate in projects that automate manual business processes as well as projects that further create machine learning concepts

Requirements:

• Experience with programming language (i.e. SQL, python, R) is preferred
• Attention to detail, especially the accuracy of the analysis results
• Undergraduate or Graduate student in quantitative fields (Data Science, Computer Science, Math, Engineering, etc.). Strong GPA preferred
• Excellent problem-solving skills
• Excellent communication skills
• Working knowledge of Microsoft Office products