Experience scope
Categories
Data visualization Data analysis Data modelling OperationsSkills
ethical standards and conduct data analysis analytical thinking machine learning methods statistical analysis business communication project management software operations analyticsThis internship offers UNF MDA students an opportunity to apply their technical and analytical expertise to real-world operations and supply chain challenges. Interns will support the organization’s operations or business intelligence teams in optimizing processes, identifying inefficiencies, and delivering actionable insights from operational data. This role is ideal for companies looking to improve resource utilization, forecasting, inventory management, or service delivery through data-informed decision-making.
Why Host a UNF MDA Intern?
- Gain temporary support for data-intensive operational challenges
- Receive fresh insights backed by advanced analytics training
- Build a pipeline for future data talent in operations and logistics
- Support emerging professionals in applying their knowledge to your business context
Interns will be assigned a supervisor within the host organization and will receive academic mentorship from a UNF Faculty Advisor. Regular check-ins will be coordinated with the Work-Integrated Learning (WIL) Manager to support the student's progress and development.
Learners
Upon completion of this internship, students will:
1. Apply modern data analytics practices to solve real operational problems.
2. Utilize advanced analytics tools (e.g., SQL, Tableau, Excel) in a practical setting.
3. Gain professional exposure to workplace expectations, collaboration, and ethical responsibilities.
4. Understand how data solutions influence global, economic, and environmental decisions.
5. Work collaboratively with multi-disciplinary teams and communicate complex data effectively.
Project Examples
Requirements
Key Responsibilities
- Analyze historical operations or supply chain data to identify trends and improvement opportunities.
- Create and maintain dashboards to track key operational KPIs (e.g., cycle time, throughput, inventory turnover).
- Assist with demand forecasting and predictive modeling to inform logistics or capacity planning.
- Collaborate with cross-functional teams to streamline processes using data insights.
- Extract and transform data from ERP systems (e.g., SAP, Oracle) using SQL or Excel.
- Evaluate process performance, detect bottlenecks, and simulate optimization scenarios.
- Present findings in written reports and stakeholder presentations with visualized insights.
Sample Projects
- Warehouse Optimization: Analyze logistics and storage data to reduce idle inventory and improve picking efficiency.
- Service Process Efficiency: Evaluate and streamline customer service workflows using process mining and root cause analysis.
- Forecasting Model: Build a demand forecasting model using time-series data and assess its impact on procurement planning.
- Operations Dashboard: Develop a real-time dashboard tracking performance against operational benchmarks.
Additional company criteria
Companies must answer the following questions to submit a match request to this experience: