Experience scope
Categories
Data visualization Data analysis Data modelling Data scienceSkills
ethical standards and conduct data analysis analytical thinking machine learning methods statistical analysis business communication project management software operations analyticsThis internship offers students in the Master of Data Analytics (MDA) program at the University of Niagara Falls, Canada, the opportunity to apply advanced analytics skills in a cross-functional, real-world setting. Whether in healthcare, finance, technology, retail, or the public sector, interns are trained to gather, analyze, model, and interpret data to uncover business insights and enable evidence-based decision-making.
Organizations benefit from temporary but impactful support in building dashboards, forecasting, automating reporting, or improving internal analytics capacity.
Why Host a UNF MDA Intern?
- Gain short-term, high-impact analytics support
- Explore data-driven opportunities without full-time hiring
- Help shape the next generation of Canadian data professionals
- Enhance your team’s capability in applied analytics and dashboarding
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
By the end of the internship, the intern will be able to:
1. Apply contemporary data analytics tools and methodologies in a real-world project
2. Use programming and analytical platforms to solve organizational problems
3. Demonstrate professional conduct and ethical responsibility in handling sensitive data
4. Assess and explain the broader impact of their data work on business and society
5. Collaborate effectively across roles and communicate insights with clarity
Project Examples
Requirements
Interns may support your team with:
- Data wrangling and transformation from multiple sources (CSV, SQL databases, APIs)
- Creating interactive dashboards using Tableau, Power BI, or Excel for reporting purposes
- Building predictive or classification models for forecasting, risk scoring, or behavior prediction
- Performing exploratory data analysis (EDA) to identify trends, outliers, or process bottlenecks
- Automating business intelligence workflows using Python or R
- Presenting findings through concise reports, executive summaries, or stakeholder presentations
- Evaluating the quality and reliability of data and proposing cleaning or governance solutions
Depending on your sector and business needs, interns may:
- Finance: Build a credit scoring or fraud detection model using historical financial data
- Healthcare: Analyze patient flow and wait times to optimize clinical operations
- Retail: Identify purchasing patterns and build customer segmentation models
- Technology: Develop KPIs to monitor SaaS product usage and churn
- Public/Non-Profit: Visualize key community indicators using open data and census sources
Additional company criteria
Companies must answer the following questions to submit a match request to this experience: