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Data Analytics Intern

Vector Institute
Toronto, CAN
Internship
Internship
Onsite
$32 per hour
Discovered 1 months ago
Data analyticsData visualizationGoogle SheetsMicrosoft ExcelMicrosoft Power BITableau

Full Job Posting

Position Overview

The Data Analytics Intern will gain practical experience in data analytics and database management at the Vector Institute.

The role manages and analyzes data from multiple sources and translates large datasets into actionable insights for workforce development and research excellence.

The intern reports to the Program Manager, Research Operations, and supports data-related requests across the Research Operations and Academic Partnerships team.

Internship Schedule

  • The internship runs from January 11, 2027, to April 23, 2027.
  • The posting seeks a full-time intern for this role.
  • Applied internships may operate at 36.25 hours per week full-time or 20 hours per week part-time during the winter academic term, with possible continuation in summer 2027.

Key Responsibilities

  • Clean, upload, and maintain weekly data in Google Sheets and Salesforce.
  • Create data visualizations or an interactive dashboard using Microsoft Power BI or Google Sheets.
  • Assist with Python data-scraping algorithms using GitHub Actions, Scrapy, or BeautifulSoup.
  • Analyze datasets, identify patterns, support Salesforce and Zapier automation, and prepare ad hoc Google Sheets reports.

Success Measures

  • Deliver effective Salesforce ETL through integration with Google Suite or Microsoft Office Suite.
  • Analyze trends in Ontario's AI talent community and provide decision-making support for engagement.
  • Generate reports on high-level insights.
  • Create accessible dashboards and visualizations with highlighted outcomes and well-integrated data inputs.

Candidate Profile

  • Be a second-year or later student at a Canadian university or college, or a recent graduate within one semester of graduation.
  • Have experience with Google Suite, Excel and advanced functions, and data visualization tools such as Power BI or Tableau.
  • Have experience managing Salesforce and performing ETL processes on large datasets.
  • Have basic programming proficiency, especially in Python, and experience translating large datasets into actionable insights.
  • Understand data usage constraints, privacy concerns, and issues with unstructured or unlabeled data.
  • Be organized, efficient, and skilled at problem solving.

Preferred Skills

  • Experience with Zapier and triggered workflows in Salesforce is an asset.
  • Experience with Scrapy or BeautifulSoup is an asset.
  • Continuous learning, creativity, collaboration, and motivation to contribute to the AI ecosystem are valued.

Compensation

  • Compensation is $32 per hour.

Program Context

The applied internship program provides hands-on learning and work experience in machine learning and AI, including access to research, recruitment, and commercialization talks.

Interview Process

  • Interviews are currently being held remotely; the work arrangement for the role is not specified.

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