2027 Summer Internship (US) - Business Analytics

Zebra

Holtsville (NY)

Hybrid

USD 35,000 - 45,000

Part time

5 days ago
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Benefits offered by this job

Summer Fridays
Social and professional events
Global immersion with teams

Job summary

Zebra invites motivated undergraduates to join our Summer Internship program in Holtsville, NY. You’ll work on building a predictive forecasting model embedded with AI, using Zebra’s data pipelines and expanding data sources to improve workload forecasts.

You’ll gain hands-on experience in data science, data analytics, and business analytics while collaborating with cross-functional teams. The internship offers hybrid work with three days in the Holtsville office and opportunities to engage in a

Qualifications

  • Enrolled in an undergraduate degree in Data Science, Data Analytics, CS, CSE or Business Analytics.
  • Anticipated graduation between December 2027 and 2028.
  • Authorized to work in the US without sponsorship now or in the future.
  • Preferred: Python, ML concepts, strong analytical and communication skills, familiarity with MS Office.

Responsibilities

  • Develop a predictive forecasting model embedded with AI for ESS using Zebra data pipelines and new data sources.
  • Map existing data sources within Zebra’s databases and identify data gaps.
  • Build data pipelines to connect missing data for the model.
  • Develop and train a machine learning model to forecast workloads.
  • Test, refine, and improve model accuracy for reliable predictions.
  • Visualize results in an accessible format for business leaders; document and present.
  • Develop leadership and organizational skills during the internship.
  • Gain exposure to Zebra’s product portfolio and technology stack.
  • Collaborate with teams to manage project work and deadlines.

Skills

Python
Machine learning
Analytical thinking
Communication

Education

Undergraduate degree in Data Science / Data Analytics / CS / CSE / Business Analytics

Tools

Python
Office software

Job description

**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 solutions* Integrity – Commitment to ethical behavior and confidentiality **Salary: USD $25.50 - $33.00/hourly**
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