Jr. Data Analyst to support the enterprise labour management team to identify operational efficiencies in scheduling and labour data using Microsoft Excel

Our client, Canada's largest retailer, is seeking a Jr. Data Analyst to support crucial initiatives to streamline and identify operational efficiencies in their store processes and labour management.

Start Date: ASAP

Duration: To December 2026, with possibility of extension

Location: Brampton, ON - 3x a week in office is ideal, but remote is a possibility for strong candidates; Interview will take place in person at the Brampton location

What You’ll Do

• Support the development, validation, and ongoing maintenance of engineered labour standards.
• Assist in the creation and maintenance of labour models and scheduling tools within the Workforce Management System, ensuring updates are made as processes evolve.
• Contribute to labour impact assessments for new programs, initiatives, or process changes by gathering and preparing relevant data.
• Perform analysis of operational and labour data using tools like Microsoft Excel and other analytical software to identify trends, support decision-making, and highlight potential areas for improvement.
• Prepare reports, presentations, and documentation to communicate findings to internal teams.
• Work collaboratively with team members and cross-functional partners to support the successful execution of projects.
• Ensure timely onboarding of new stores to the model as well as availability of their labour hours on the labour management dashboards.
• Validate store linears through analysis and deep dive on fixture drawings.
• Participate in continuous improvement initiatives and contribute to enhancing team processes and tools.

Must Haves:

• 0-2 years of experience in data analysis in a professional or academic setting
• Strong proficiency with Microsoft Excel; familiarity with PowerPoint, Word, and Teams
• A strong communicator who can present data and insights clearly to both technical and non-technical audiences

Nice to Have:

• Exposure to data analysis techniques; experience with SQL or similar tools is considered an asset but not required
• Knowledge of grocery store operations considered an asset
• Interest in workforce management, productivity analysis, and process improvement
• Experience using Labour Pro workforce management tool or other workforce management tool