Store Analytics Scientist – FP&A & Automation

Canadian Tire Corporation; Calgary; On-site; CAD 90,000 - 130,000; Full time

Job summary

Canadian Tire Corporation, Limited is seeking a Data Scientist to support store labour planning and provide analytical support for FP&A initiatives across SportChek and Mark’s.

You will analyze large data sets, develop forecasting and budgeting models, present insights to store managers and senior executives, and drive efficiency.

The role involves collaborating with cross‑functional teams, building self‑serve analytics, and applying ML and automation to finance and operations.

Qualifications

• 2+ years in a business, analytics, or finance role.
• CPA/CA/CMA/CGA designation and/or master's in MMA, MBA, or analytics is asset.
• Ability to communicate clearly to technical and non-technical audiences.
• Experience with BI tools such as PowerBI/Tableau is an asset.
• Knowledge of Python/SQL and cloud platforms like Azure Synapse or Databricks.

Responsibilities

• Manage store payroll spend analysis and reporting.
• Identify opportunities for operational efficiencies and revenue growth.
• Lead compensation plan model design and target setting.
• Collaborate with cross-functional teams on strategic initiatives.
• Develop self-serve analytics to drive value across 550+ stores.

Skills

Analytical thinking

Forecasting

Budgeting

Communication

Project management

SQL

Python

Education

CPA/CA/CMA/CGA designation

Master's degree in MMA/MBA/analytics

Tools

PowerBI

Tableau

Knime

Alteryx

SQL

Python

Azure Synapse

Databricks

Job description

Canadian Tire Corporation, Limited is seeking a Data Scientist to support store labour planning and provide analytical support for FP&A initiatives across SportChek and Mark’s.

You will analyze large data sets, develop forecasting and budgeting models, present insights to store managers and senior executives, and drive efficiency.

The role involves collaborating with cross‑functional teams, building self‑serve analytics, and applying ML and automation to finance and operations.