Zebra

2027 Summer Internship (US) - Business Analyst

In short

This is a Summer 2027 Business Analyst internship at Zebra's Current Business Management team, which builds analytics pipelines, forecasting models and dashboards from sales, bookings, inventory and sell-out data. The intern's core project is building an automated Power BI analytics pipeline combining internal sales data with external market indicators, including KPI dashboard design, data fusion, driver analysis, requirements gathering and AI-assisted SQL/DAX development. Requires current undergraduate enrollment in Business Analytics, MIS or Data Science with graduation between December 2027-2028, US work authorization without sponsorship, and hybrid work (3 days/week) in Lincolnshire, IL. Preferred skills include Power BI, SQL, advanced Excel, introductory Python and LLM prompt engineering.

Overview
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.
Current Business Management is the analytics and operational backbone for Zebra's product lines, turning sales, bookings, inventory and sell-out data into the forecasts, performance dashboards and insights that product, sales and finance leaders use to plan. The team builds data pipelines, run-rate sales forecasting models and AI-enabled tools that replace manual reporting and help the business anticipate demand and market shifts.
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
Core Project: Predictive Sales & Market Driver Analysis – build an automated analytics pipeline and Power BI dashboard that combines Zebra's internal sales data with external market indicators to explain and anticipate sales trends.
•KPI Dashboard Development: Partner with stakeholders to design intuitive dashboards that track critical KPIs such as revenue, channel inventory and pipeline health, performance metrics and product trends in near real time
•Data Fusion: Combine internal sales records (bookings, inventory, sell-out) with external macroeconomic indicators and market trends to build a unified analytical dataset
•Predictive / Driver Analysis: Identify which market drivers most influence sales performance and support the team's run-rate forecasting by surfacing leading indicators
•Requirements Gathering: Interview business users to understand their questions and translate them into clear technical dashboard and data requirements
•AI-Assisted Development & Quality: Use LLM tools (e.g., Gemini and Claude) to write, optimize and debug SQL queries and Power BI DAX, and validate data accuracy so automated reporting is robust and bug-free
•Final Presentation: Present the finished dashboard, key insights and recommendations to team leadership at the end of the internship
This position requires hybrid work (3 days/week in office) in the Lincolnshire, IL office.
Required Qualifications
•Current enrollment in an undergraduate degree program in Business Analytics, Management Information Systems or Data Science
•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
•Power BI; SQL (joins, filters, aggregation); advanced Excel (Pivot Tables, Power Query); introductory Python (pandas, numpy); LLM prompt engineering for SQL/DAX
•Strong translational communication, detail-oriented and logic-driven, and confident presentation skills
•Business acumen: Understands the key factors that drive business performance and can connect data and analysis to practical business decisions
•Quick learner: Demonstrates curiosity, adaptability, and the ability to quickly learn new tools, data sources, and business processes
Salary
$33.00/hour USD

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