
Student, Data Analyst (Winter 2026, 4 Months)
- Toronto, ON
- Permanent
- Full-time
- Data Collection: Gather data from various sources, including databases, spreadsheets, and external sources.
- Data Cleaning: Review and clean data to ensure accuracy and completeness.
- Data Analysis: Use statistical techniques to analyze data and identify trends or patterns.
- Reporting: Create reports and visualizations (e.g., charts, graphs, dashboards) to present findings to stakeholders.
- Collaboration: Work with cross-functional teams to understand data needs and provide insights.
- Database Management: Assist in maintaining and updating databases and data systems.
- Process Improvement: Identify opportunities to improve data collection and analysis processes.
- Proficiency in data analysis tools (e.g., Excel, SQL, Python, R).
- Strong analytical and problem-solving skills.
- Ability to interpret and present data clearly.
- Basic programming skills.
- Attention to detail and accuracy.
- Experience: Previous experience in a similar role is beneficial but not always required.
- Collecting and organizing data from various sources.
- Cleaning and preprocessing data to ensure quality.
- Analyzing data to identify trends and patterns.
- Creating visualizations to communicate findings.
- Supporting senior analysts and data scientists in more complex analyses.
- Current enrollment in an undergraduate degree specializing in Accounting/Finance, Computer Science, or Data Analytics
- Strong interest in pursuing a career in Capital Markets or FinTech
- An understanding of investment products including bonds, equities, derivatives, and alternative investments
- Excellent communication skills (verbal and written)
- Analytical, organized, and great attention to detail
- Demonstrated ability to work well with others
- Proficiency with Microsoft Excel and Microsoft PowerPoint
- Experience with data engineering tools (e.g., SQL, PowerBI) is an asset
- CSS with pre-processors like Sass being an asset
- Object-oriented and functional programming experience
- ReactJS, with associated testing and state libraries as an
- Web services experience; building and consuming: especially RESTful APIs
- AWS, Google GCP, Azure, Heroku and other cloud platform experience is an asset.
- Docker, Kubernetes experience is an asset
- Git and Github/Gitlab workflow, git command line is an asset.