2027 Summer Internship (US) - Business Analytics
- Location
- Holtsville, NY
- Employment
- Internship
- Work model
- Hybrid
- Level
- Intern
- H-1B history
- 53 approvals (FY2023)
- Posted
Skills
About this role
Overview
At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally. Come make an impact every day at Zebra.
What We're Looking For
The purpose of this internship is to prepare students for entry into the business world by providing a thorough understanding of the various functions of the Zebra Technologies organization. The program is designed to provide students with experiences that provide insights into a career with Zebra. Students will be positioned for success with training and hands-on experiences, invited to social and development activities, and provided a professional mentor relationship. The Business Analytics team delivers high-impact analytics, automation, and operational transformation projects across the Product & Solutions organization. We focus on building modern data foundations, interactive analytics dashboards, and smart automation tools to streamline workflows and drive data-driven decision-making. US Summer Internship Benefits: Summer Fridays, As Applicable With Your Team 30+ Social and Professional Events in 12 Weeks Global Immersion With Your Teams and Interns Intern Allowance (when applicable) Essential Duties and Responsibilities: Develop new predictive forecasting model embedded with AI for ESS to predict workload and likely outcomes utilizing existing data pipelines as well as building additional data pipelines as needed Map Existing Data: Locate and analyze current data sources within Zebra’s database systems Build Data Pipelines: Create new data pipelines to connect any missing data needed for the model Develop the Model: Write code to build and train a machine learning model that forecasts workloads Test and Fine-Tune: Evaluate the model’s accuracy and adjust it to ensure highly reliable predictions Visualize the Results: Integrate the predictive model into an easy-to-read format for business leaders Document & Present: Write clear documentation on how the model works and present the results to leadership Develop planning, organizational and leadership skills Increase technology knowledge and skills, especially as it relates to Zebra's product portfolio Manage team-based work assignments Practice interpersonal skills to connect with day-to-day business contacts through follow-up activities This position requires hybrid work (3 days/week in office) in the Holtsville, NY office.
Required Qualifications
Current enrollment in an undergraduate degree program in Data Science, Data Analytics, Computer Science, Computer Engineering or Business Analytics Must have an anticipated graduation date between December 2027 - 2028 Must be authorized to work in the US without requiring sponsorship now or in the future Preferred Qualifications: Proficiency with a programming language, such as Python Practical knowledge related to building and adapting algorithms for machine learning Strong analytical skills and interest in solving complex problems programmatically Communication Skills – Clear and effective verbal and written communication Adaptability and Learning Agility – Willingness to learn quickly, embrace new tools or methods, and thrive in a dynamic, fast-paced environment Technical Skills – Basic proficiency in Microsoft Office tools (e.g., Excel, Word, PowerPoint) and basic familiarity with technology