KIND Business Intelligence & Data Analytics Intern in New York, New York

Job Descriptions:

Who are we?

Since its founding in 2004, KIND has been on a mission to make the world a little kinder one snack and one act at a time. KIND was born out of its founder’s desire to create a snack that was healthy and tasty, wholesome and convenient. What began as a line of premium Fruit & Nut bars sparked the creation of an entirely new healthier snacking category. Today, KIND has a family of snacks that offer solutions for a variety of different occasions.

We love making snacks that delight people’s taste buds and fuel their bodies, and we also love inspiring kindness in communities everywhere. As a not-only-for-profit company, we’ve always believed that there’s more to business than just profit.

We’re looking for passionate collaborators to help us become the foremost leader in health & wellness and positively impact society along the way. If you’re looking to be a part of an inspiring, energetic and entrepreneurial environment, you’ve found the right place.

What you’ll do

As a Business Intelligence & Data Analytics Intern, you will:

  • Create scalable reporting and BI solutions to understand and improve customer engagement

  • Continually assess sales from eCommerce and SEO data to provide analytic support and measure performance

  • Use data mining techniques to develop robust models which impact customer loyalty prediction and product recommendation

  • Utilize, develop, and adapt data processing, deep learning and other methods in machine learning to various data sources and in various application areas relevant to eCommerce

Develop your business acumen

  • Ownership over an individual project that will impact the business & present your findings at the conclusion of the internship.

  • Network and learn through events and training onsite.

What you’ll bring to KIND

  • Learnings from your completed courses pertaining to this area of focus.

  • Experience from previous internship or work experience.

  • Fresh perspective and an insatiable curiosity.

Required Experience:

You are…

  • A collaborator who is comfortable working in a team setting.

  • Rising Junior/Senior enrolled in an accredited undergraduate college/university pursuing a degree in Computer Science, Engineering, Statistics, Business Intelligence or related technical discipline

  • Ability to multi-task, partner with cross-functional teams, and meet tight deadlines

  • Interest in pursuing a career in IT

You have…

  • At least 1 year of experience in analytics, data analysis, business intelligence or equivalent work experience

  • Experience processing large, multi-dimensional datasets (OLAP cubes)

  • Excellent communication skills; strong listening and interpersonal skills

  • Motivated and able to work independently and in a team environment

  • Passion for KIND's core values and mission


  • Exposure to 1+ years Analytics and Process Improvement related initiatives

  • A passion for technology and data visualization

  • Experience with Microsoft SQL Server Integration Services (SSIS)

  • Experience programming in: Python, R, Java, C#, PHP and other scripting languages

  • Experience with MPP Databases such as Redshift

  • Previous work with statistical analysis

  • Experience with applied machine learning systems a strong plus

What KIND offers

  • Hands-on learning experience at a fast paced, high growth company.

  • Casual dress code – wear your KIND gear.

  • A dynamic, ambitious, fun and KIND environment.

  • The opportunity and responsibility to be KIND everyday.


At KIND, we are committed to being an inclusive workplace where diversity in all its forms is championed. KIND is proud to be an equal opportunity workplace and we are an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants with criminal histories, consistent with legal requirements. If you require special accommodation, please let us know.

Keyword: Internship, Intern, IT, Business Intelligence, Analytics, BI

From: KIND