Supply Chain Data Analysis Intern

Jabil

21h • Onsite

About The Position

At Jabil we strive to make ANYTHING POSSIBLE and EVERYTHING BETTER. We are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, manufacturing, and supply chain solutions. With over 50 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe. Summary of Program Jabil’s Summer Internship Program was recognized as one of the Top 100 Internship Programs in the country for 2025 by WayUp. This is the result of a holistic and engaging experience that summer interns at Jabil experience. As a result, interns that are a part of this program for summer 2026 will get to engage with members of Jabil’s leadership team and participate in events related to professional development, networking & socializing, and community engagement. In addition, interns will have the opportunity to work with each other in committees, be assigned a mentor, tour some of Jabil’s facilities and much more! If this sounds like a program you want to be a part of and you want to work for a company that strives to make EVERYTHING BETTER and ANYTHING POSSIBLE, then apply today. Job Summary The Partner Lifecycle Supply Chain Intern will join Jabil’s Partner Lifecycle Supply Chain Department, supporting initiatives that leverage data, analytics, and emerging AI capabilities to improve supply chain visibility, decision-making, and process efficiency. This intern will work closely with supply chain stakeholders, data owners, and business partners to analyze complex datasets, develop dashboards and automation solutions, and explore practical applications of Artificial Intelligence to real-world supply chain challenges. The role offers hands-on exposure to enterprise-scale data, cross-functional collaboration, and innovation at the intersection of supply chain and advanced analytics.

Requirements

• Major(s): Supply Chain Management, Data Science, Business Analytics, or related field
• Class Year(s): Junior, Senior, and Recent Graduate
• GPA: Min 3.0
• Technical Skills: 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
• Effective Communication: 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
• Self-starter: 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
• Leadership Skills:
• 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.
• Availability: Must be available to work in St. Petersburg, FL from May 18, 2026 – Aug 7, 2026.

Nice To Haves

• Exposure to Artificial Intelligence or Machine Learning concepts (coursework, projects, or personal learning) preferred
• General understanding of supply chain concepts (planning, procurement, logistics, or operations) is a plus

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.

What This Job Offers

• Career Level: Intern