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St. Petersburg, Florida, United States

Internship

Onsite

Intern

Jabil is a recognized leader in manufacturing solutions, and they are seeking a Supply Chain Data Analysis Intern for their Partner Lifecycle Supply Chain Department. The intern will support initiatives leveraging data and AI to improve supply chain visibility and decision-making while collaborating with cross-functional teams to develop dashboards and automation solutions.

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Responsibilities

Analyze supply chain and partner lifecycle data to identify trends, risks, and opportunities for process improvement
Develop and maintain dashboards, reports, and data visualizations to support operational and strategic decision-making
Assist in the design and implementation of data automation solutions to streamline reporting and recurring workflows
Support AI-driven initiatives, including data preparation, model inputs, and use-case exploration for predictive and prescriptive insights
Collaborate with cross-functional teams (Supply Chain, IT, Procurement, Operations, and Partners) to gather requirements and translate business needs into data-driven solutions
Document data processes, assumptions, and insights to ensure clarity, scalability, and repeatability
Participate in continuous improvement projects focused on efficiency, accuracy, and scalability across partner lifecycle supply chain processes

Qualification

Required

Major(s): Supply Chain Management, Data Science, Business Analytics, or related field
Class Year(s): Junior, Senior, and Recent Graduate
GPA: Min 3.0
Strong proficiency in data analysis tools (e.g., Excel, SQL, Python, R, or similar)
Experience with data visualization tools (e.g., Power BI, Tableau, or equivalent)
Familiarity with automation tools or scripting (e.g., Python, Power Automate, VBA, APIs)
Understanding of data structures, data quality principles, and analytical workflows
Ability to clearly communicate data insights and technical concepts to both technical and non-technical audiences
Strong written and verbal communication skills
Demonstrated ability to take initiative, manage time effectively, and work independently
Comfortable navigating ambiguity and learning new tools, datasets, and processes
Strong problem-solving mindset with a curiosity for continuous improvement
Agility: Adapts quickly to changing priorities and evolving business needs
Building Trusting Relationships: Collaborates effectively and professionally with diverse teams
Decision-Making Skills: Uses data and structured thinking to support sound recommendations
Resilience: Maintains focus and momentum when working through complex or unfamiliar challenges
Must be available to work in St. Petersburg, FL from May 18, 2026 – Aug 7, 2026

Preferred

Exposure to Artificial Intelligence or Machine Learning concepts (coursework, projects, or personal learning)
General understanding of supply chain concepts (planning, procurement, logistics, or operations) is a plus
Comfortable engaging with cross-functional stakeholders and asking clarifying questions