Supply Chain Data Analysis Intern at Jabil in St. Petersburg/Tampa, FL

Summary: Jabil is a trusted partner for the world's top brands, providing engineering, supply chain, and manufacturing solutions. The Partner Lifecycle Supply Chain Intern will support initiatives leveraging data and analytics to improve supply chain visibility and efficiency, while collaborating with various stakeholders to analyze data and develop automation solutions. 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 Required Qualifications: - 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 - Comfortable engaging with cross-functional stakeholders and asking clarifying questions - 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 Qualifications: - 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 Required Skills: Data Analysis, Excel, SQL, Python, R, Data Visualization, Power BI, Tableau, Automation Tools, Power Automate, VBA, APIs, Data Structures, Data Quality Principles, Analytical Workflows, Artificial Intelligence, Machine Learning, Supply Chain Concepts, Leadership Skills