IT​/Tech Intern, Data Analyst

Position: IS Intern
Job Summary:

We are seeking a highly motivated Analytics & AI Intern to join our Data & Analytics team and support strategic initiatives to transform business processes through advanced analytics and artificial intelligence. This internship offers a unique opportunity to work on a high-impact project to enhance the pre-allocation decision-making process through AI-driven recommendations.

Job Responsibilities:

• Study and document selected workflows, including business rules, data input, and decision-making criteria.
• Assist in gathering, cleaning, and structuring datasets required for analytics and machine learning use cases, ensuring data quality and consistency.
• Collaborate with subject matter experts to capture and translate business decision rules into structured formats for analytics and recommendation systems.
• Contribute to building and testing rule-based or machine learning models that assist in optimizing pre-allocation decisions.
• Analyze model outputs and compare them with real-world decisions to assess accuracy, identify gaps, and suggest improvements.
• Summarize findings, insights, and recommendations in a clear, structured format for stakeholders, including presentations and documentation.

Learning Objectives:

• Gain hands-on exposure to how decisions are made when inventory is limited
• Learn how business rules, operational knowledge, and constraints drive decisions
• Understand key trade-offs such as inventory utilization, waste reduction, and delivery priorities
• Ability to translate complex business workflows into structured analytical problems

Qualifications:

Required

• Current college/High school student pursuing or planning for a degree in Computer Science, Information Technology, Mathematics, or a related field.
• Basic understanding of computer hardware and software.
• Interpret data and derive meaningful insights
• Experience (academic or project-based) in:
  • Data cleaning, preparation, or transformation
  • Working with structured /unstructured datasets
• Strong attention to accuracy and data quality
• Break down complex business problems into structured analytical components
• Basic machine learning concepts (regression, classification, clustering)

Working Conditions:

• Sitting for extended periods of time.
• Dexterity of hands and fingers to operate a computer keyboard, mouse, and other devices.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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