Summer 2027 Business Analytics & Insights Intern

About the Role

KBX Logistics is seeking a Business Analytics & Insights Intern to gain real-world experience solving business challenges through data. You will work alongside experienced analytics professionals, transforming data into actionable insights to support decision-making in transportation and logistics operations. This role offers exposure to reporting, data visualization, process improvement, and analytics projects.

What You Will Do

• Partner with business and analytics teams to analyze operational data, identify trends, and develop insights supporting transportation and logistics decisions.
• Design, build, and maintain reports, dashboards, and data visualizations using tools such as Power BI to improve visibility and decision-making.
• Support strategic projects by conducting data analysis, market research, forecasting, and scenario modeling to evaluate opportunities and business risks.
• Collaborate with cross-functional teams, including operations, analytics, and business leaders, to solve problems and improve processes.
• Leverage emerging technologies, including AI and automation tools, to enhance reporting, uncover insights, and improve analytical capabilities.
• Present findings and recommendations to stakeholders, gaining exposure to how data influences operational, financial, and strategic decisions.

Requirements & Tech Stack

• Power BI
• Microsoft Fabric Suite
• Alteryx
• Generative or agentic AI tools (e.g., ChatGPT, Copilot, or similar)
• Data querying and programming fundamentals (e.g., SQL, Python)
• AI and automation tools

Qualifications

Currently enrolled in a business degree program such as Business Analytics, Data Analytics, Economics, Statistics, Accounting, Finance, Agribusiness, or related fields.

• Eligible for full-time employment no later than Summer 2028.
• Legal authorization to work permanently in the United States without requiring visa transfer or sponsorship.
• Experience with data analytics concepts (data transformation, exploratory analysis, insights).
• Strong analytical judgment, curiosity, and ability to ask the right questions of data and stakeholders.
• Critical thinking, curiosity, and strong communication skills.
• Familiarity with modern analytics and visualization tools (e.g., Microsoft Fabric Suite, Power BI, Alteryx).
• Experience using generative or agentic AI tools (e.g., ChatGPT, Copilot, or similar) to enhance analysis, automate repetitive tasks, or support decision-making.
• Knowledge of data querying and programming fundamentals (e.g., SQL, Python).