Data Analytics Internship Fall 2025

Open Closing on August 2, 2025
University of Niagara Falls Canada
Niagara Falls, Ontario, Canada
Work Integrated Learning Manager
4
Experience
80 projects wanted
Dates set by projects
Agreements required
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Data visualization Data analysis Data modelling Data science
Skills
ethical standards and conduct data analysis analytical thinking machine learning methods statistical analysis business communication project management software operations analytics
Learner goals and capabilities

This 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

Learners
Diploma
Advanced levels
80 learners
Project
350-480 hours per learner
Learners apply to projects
Individual projects
Expected outcomes and deliverables

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:

  • Q2 - Text long
    What business challenges or opportunities will the intern help address? List the key responsibilities, tasks, or projects the intern will undertake  *
  • Q3 - Multiple choice
    What tools, platforms, or datasets will the intern work with?  *
    • Python
    • SQL
    • Tableau
    • Power BI
    • + 2 options
  • Q4 - Multiple choice
    List any expected deliverables or outcomes:  *
    • Dashboard(s)
    • Forecasting model
    • Data reports
    • Insights presentations
    • + 1 options
  • Q5 - Multiple choice
    Which of the following learning outcomes will this internship support? (Check all that apply)  *
    • Apply contemporary data analytics practices
    • Use advanced tools for data analysis and modeling
    • Practice ethical data handling and responsible AI principles
    • Understand the social and business impact of data decisions
    • + 2 options
  • Q6 - Multiple choice
    Is the internship position:  *
    • Paid
    • Unpaid
  • Q7 - Number
    Estimated Weekly Hours  *
  • Q8 - Text short
    Who will be supervising the intern? Please provide the name and role of the designated supervisor  *
  • Q9 - Text long
    Describe how the intern will be onboarded and supported throughout the internship  *
  • Q10 - Checkbox
     *
  • Q11 - Checkbox
     *