Finance Data Analyst Student Winter 2027

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.