Year-round Intern - Transportation Services

Tyson Sales and Distribution•Springdale, AR

11d•Onsite

About The Position

The Analytics Intern supports the Warehousing Analytics team in developing modern data, automation, AI, and operational technology solutions for Logistics and warehouse operations. The internship is designed to provide hands-on experience solving real business problems through analytics, rapid prototyping, AI-assisted development, automation, and lightweight application development. The role emphasizes learning through practical development and experimentation rather than traditional dashboarding alone.

Requirements

Education: Data Analytics, Information Systems, Supply Chain, Computer Science, or other related majors preferred.
Applicants must have at least one year of school remaining required.
Previous work experience preferred.
Strong computer skills with a working knowledge of Microsoft applications (Excel, Access, Word, PowerPoint)
Local/Region travel to plants/DCs to support project needs.
This role requires the selected candidate to work in office at Tyson Foods’ Springdale, AR World Headquarters and must live within a commutable range (50 miles) of the office year-round to be considered.
Resume with expected graduation date listed is required for consideration.
Hourly Applicants ONLY -You must complete the task after submitting your application to provide additional information to be considered for employment.
The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.

Nice To Haves

SQL
Python
Web application development
APIs
AI-assisted coding
Generative AI and LLMs
Cloud data platforms
Automation tools
Git or source control
Data visualization
Power BI or similar analytical tools
Curious, technically adaptable, comfortable experimenting with new technologies, and interested in building practical solutions rather than only producing reports.

Responsibilities

Support development of analytics, automation, and AI-enabled tools to drive operational efficiency
Use AI-assisted development tools such as Claude, Microsoft Copilot, enterprise LLM platforms, and other emerging technologies to accelerate coding, research, analysis, and documentation.
Apply rapid prototyping and AI-assisted coding techniques to turn business ideas into working proofs of concept.
Assist in developing lightweight web applications, analytical tools, and user-facing solutions.
Support SQL development, data validation, exploratory analysis, and basic data modeling.
Identify opportunities to automate repetitive reporting, analysis, or administrative processes.
Assist with testing and evaluating new AI capabilities and development approaches.
Work with warehouse and logistics data across areas such as labor, inventory, service, throughput, maintenance, capacity, and cost.
Partner with analysts, engineers, and business users to understand operational problems and requirements.
Document solutions, data definitions, prompts, business rules, and development approaches.
Complete an end-to-end internship project and present results or a working solution to stakeholders.