About The Role

The Finance Data Analyst Student position provides an excellent opportunity to gain hands-on experience in analytics, data solutions, and process improvement within a large and diversified organization. Working alongside experienced professionals, students will contribute to meaningful projects that support business decision-making, automation initiatives, and operational efficiency. This role offers exposure to modern analytics tools, data technologies, and emerging AI solutions while developing valuable technical, analytical, and problem-solving skills.

Collaborate with a team focused on data analysis, visualization, and technology solutions that support Finance operations.
Gain hands-on experience with analytical and reporting tools such as Power BI, Tableau, Alteryx, and AI-enabled technologies.
Assist with the design, development, and enhancement of data models, dashboards, reports, and automated workflows.
Support project work and continuous improvement initiatives aimed at improving efficiency, data quality, and business processes.
Analyze financial and operational data to identify trends, generate insights, and uncover opportunities for improvement.
Contribute to analytics, automation, and artificial intelligence initiatives that enhance reporting and decision-making capabilities.
Support the implementation and ongoing enhancement of Finance reporting and data solutions.
Please include your transcript along with your resume in your application.
University student enrolled in Computer Science, Software Engineering, Information Technology, Data Analytics, Information Systems, or a related program and in good academic standing.
Available for the Winter 2027 Work Term.
Experience with data analysis, programming, or technology-focused projects through coursework, co-ops, personal projects, or extracurricular activities is considered an asset.
Experience with Power BI, Tableau, SQL, Python, Alteryx, or similar analytics and automation tools is considered an asset.
Strong analytical, problem-solving, and critical-thinking skills.
Strong communication skills and ability to work collaboratively.
Curious and detail-oriented with a process improvement mindset.
Interest in data analytics, reporting, automation, artificial intelligence, and emerging technologies.
Demonstrated interest in pursuing a career in Data Analytics, Technology, Business Intelligence, or a related field.