Year-round Intern - Transportation Services

Analytics Intern

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.

Primary 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.

Preferred Skills

• 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

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.

Experience:

Previous work experience preferred.

Computer

Skills:

Strong computer skills with a working knowledge of Microsoft applications (Excel, Access, Word, PowerPoint)

Travel:
Local/Region travel to plants/DCs to support project needs.

Ideal Candidate

The strongest candidate will be curious, technically adaptable, comfortable experimenting with new technologies, and interested in building practical solutions rather than only producing reports.

APPLICATION REQUIREMENTS :

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.

Relocation Assistance Eligible:
No

Work Shift:

1ST SHIFT (United States of America)

Certain roles at Tyson require background checks. If you are offered a position that requires a background check you will be provided additional documentation to complete once an offer has been extended.

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.

Tyson is an Equal Opportunity Employer. All qualified applicants will be considered without regard to race, national origin, color, religion, age, genetics, sex, sexual orientation, gender identity, disability or veteran status.

We provide our team members and their families with paid time off; 401(k) plans; affordable health, life, dental, vision and prescription drug benefits; and more.