Data Analyst Student, Corporate HR Winter 2027

The Corporate Human Resources Data Analyst position offers an excellent opportunity to gain data exposure in the field of Human Resources within a large and diversified organization. The successful candidate will work closely with experienced professionals gaining hands-on experience in a fast-paced and collaborative environment while contributing to meaningful projects that drive business insights. The hourly range for this role is between $19.89 - $22.09.

• Collaborate with a team focused on HR data analysis reporting and visualization that supports strategic workforce decisions.
• Gain hands-on experience with tools such as SQL Power BI and the Microsoft Power Platform.
• Assist in the development implementation and enhancement of dashboards reports and data products that improve visibility and inform business decision making with key HR metrics.
• Analyze workforce and operational data to identify trends generate insights and highlight opportunities for continuous improvement.
• Support reporting analytics and process improvement initiatives aimed at enhancing efficiency and data quality.

• Please include your transcript along with your resume in your application.
• University student enrolled in a Business Commerce Information Technology Data Analytics Information Systems or related program and in good academic standing.
• Available for the Winter 2027 Work Term.
• Proficiency with the Microsoft Office Suite particularly Excel.
• Experience with SQL Power BI Power Platform or data-focused projects through coursework co-ops personal projects or extracurricular activities is considered an asset.
• Strong analytical problem-solving and critical-thinking skills.
• Strong communication skills with both technical and non-technical stakeholders and ability to work collaboratively.
• Curious and detail-oriented with a process improvement mindset.
• Interest in data analytics reporting visualization and business intelligence.
• Demonstrated interest in pursuing a career in Data Analytics Business Intelligence or a related field.