Logistics Analytics Intern: AI, Automation & Data

Tyson Foods

Springdale (AR)

On-site

USD 22,000 - 32,000

Full time

8 days ago
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Job summary

The Analytics Intern at Tyson Foods in Springdale, AR supports the Warehousing Analytics team by developing data, automation, AI, and operational technology solutions for Logistics and warehouse operations. The role emphasizes practical development and experimentation over traditional dashboards, offering hands-on experience solving real business problems.

You will collaborate with analysts, engineers, and business users, apply AI-assisted coding, and help deliver lightweight web applications

Qualifications

  • Education: Data Analytics, Information Systems, Supply Chain, Computer Science or related majors preferred; applicants must have at least one year remaining.

Responsibilities

  • Support analytics, automation, and AI-enabled tools to drive operational efficiency.
  • Use AI-assisted development tools to accelerate coding, research, analysis, and documentation.
  • Apply rapid prototyping and AI-assisted coding to turn ideas into proofs of concept.
  • Assist in developing lightweight web applications and analytical tools.
  • Support SQL development, data validation, exploratory analysis, and basic data modeling.
  • Identify opportunities to automate repetitive reporting and processes.
  • Collaborate with analysts, engineers, and business users to understand problems and requirements.
  • Complete an end-to-end internship project and present results to stakeholders.

Skills

SQL
Python
Web apps
APIs
AI-assisted coding
Generative AI
Cloud platforms
Automation tools
Git
Data visualization
Power BI

Education

Data Analytics
Information Systems
Supply Chain
Computer Science

Job description

The Analytics Intern at Tyson Foods in Springdale, AR supports the Warehousing Analytics team by developing data, automation, AI, and operational technology solutions for Logistics and warehouse operations. The role emphasizes practical development and experimentation over traditional dashboards, offering hands-on experience solving real business problems.

You will collaborate with analysts, engineers, and business users, apply AI-assisted coding, and help deliver lightweight web applications

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