Senior Data Analyst, Merchandise Procurement

Canadian Tire; Toronto; On-site; CAD 53,000 - 88,000; Full time

Benefits offered by this job

Comprehensive benefits

Retirement programs

Performance incentives

Continuing education programs

Career growth opportunities

Product discounts

Mental health benefits

Job summary

Canadian Tire Corporation is seeking a Senior Data Analyst, Merchandise Procurement in Toronto to drive data-informed vendor negotiations and procurement strategy. You will build and maintain data infrastructure and analytics that power decision-making across merchandising, spend analytics, and market insights.

Day-to-day, you’ll work with enterprise data assets, develop cost indices, and lead data pipelines and dashboards while championing data quality and governance across procurement datasets.

Qualifications

• Bachelor's degree in a quantitative discipline.
• 3+ years of analytics, BI, or related experience.
• Expert SQL skills with large datasets.
• Experience building reports, data modelling, and dashboard visualization.
• Expert knowledge of dimensional modelling concepts, including fact and dimension tables and star schema design.
• Experience developing automated data pipelines using SQL, Knime, or similar technologies.

Responsibilities

• Develop and maintain reports, data products, and analytical models that support vendor negotiations and procurement performance tracking.
• Build and manage automated data pipelines to ensure reliable, timely data delivery.
• Champion data quality, integrity, and governance across procurement datasets.
• Architect and lead EDW to iHub transition, enhancing data architecture and integration.
• Integrate multiple data sources, including international commodity indices and enterprise data.
• Support Enterprise Sourcing Management (ESM) with data migration and ETL efforts.
• Leverage modern analytics platforms, AI technologies, and self-service analytics to enhance predictive decision-making.
• Participate in PI planning and contribute to forecasting and vendor performance analysis.

Skills

SQL

Data modelling

Dashboard visualization

Automated data pipelines

Data governance

Stakeholder communication

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Economics, or related quantitative discipline

Tools

Knime

Azure Synapse Analytics

Job description

Canadian Tire Corporation is one of Canada's most recognized retail and consumer companies, and their data and analytics team plays a central role in shaping how the business competes. Based in Toronto, Ontario, this Senior Data Analyst, Merchandise Procurement role sits at the intersection of data engineering, business intelligence, and strategic sourcing — a compelling opportunity for an analyst who wants their work to directly influence how a major Canadian retailer negotiates with vendors and manages billions in procurement spend.

Day-to-day, you'll work with enterprise data assets, international commodity indices, and cross-functional stakeholders to deliver reporting, analytics, and data management support for merchandise procurement. You'll play a meaningful part in how CTC's merchandising teams understand costs, vendor performance, and market conditions — and you'll help lead the team's adoption of AI technologies and modern analytics platforms.

About the Role: Senior Data Analyst, Merchandise Procurement

This position centres on building and maintaining the data infrastructure and analytical models that power vendor negotiations and procurement decision-making at Canadian Tire. You'll integrate multiple internal and external data sources, develop cost indices and projections, and produce vendor funds and spend analytics that give CTC's merchandise teams a real edge at the negotiating table. Your work will span reporting, data modelling, dashboard visualization, and automated data pipelines — all aimed at making procurement smarter and more agile.

Beyond individual analysis, you'll champion data quality, data integrity, and governance standards across procurement datasets. You'll participate in PI planning, help architect and lead the transition from EDW to iHub, and support Enterprise Sourcing Management (ESM) with data migration and ETL efforts. This is a role that blends hands-on technical execution with strategic influence over how the organization manages and trusts its data.

Benefits and Salary

Canadian Tire offers a broadband salary range of $53,000 – $88,000, with a typical hiring range between $53,000 and $70,000. Salary decisions consider your experience, internal equity, industry benchmarks, and role-specific requirements. In addition to competitive pay, the company provides comprehensive benefits and retirement programs, performance incentives, continuing education programs, career growth opportunities, and product discounts. As part of the enhanced flex benefits program, employees and their families have access to $5,000 per year in mental health benefits, along with total well-being tools and resources. Canadian Tire Profit Sharing and savings programs are also available for eligible employees.

Job Details

Responsibilities

In this role, you'll touch every layer of the procurement data lifecycle — from raw data ingestion and pipeline automation through to polished dashboards and strategic analytical models. Your outputs will directly inform how Canadian Tire negotiates with vendors and plans its sourcing strategy, making accuracy and reliability non-negotiable in everything you deliver.

• Develop and maintain reports, data products, and analytical models that support vendor negotiations, procurement performance tracking, and market condition analysis
• Build and manage automated data pipelines using SQL, Knime, or similar technologies to support reliable, timely data delivery
• Champion data quality, data integrity, and governance standards across procurement datasets to ensure information is accurate, reliable, and actionable
• Architect and lead EDW to iHub transition efforts, contributing to robust data architecture and integration frameworks
• Integrate multiple internal and external data sources, including international commodity indices and CTC enterprise data, to support strategic decision-making
• Support Enterprise Sourcing Management (ESM) with data migration and ETL efforts
• Leverage modern analytics platforms, AI technologies, and self-service analytics capabilities to enhance predictive decision-making
• Participate in PI planning and contribute to forecasting, vendor performance analysis, and decision support models

Requirements / Skills

The ideal candidate brings a strong quantitative foundation combined with expert-level SQL skills and hands-on experience building data models and visualization tools. Canadian Tire values analysts who can communicate complex technical findings clearly to non-technical stakeholders and who take genuine ownership of data stewardship and quality.

• Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Business Analytics, or a related quantitative discipline
• 3+ years of experience in analytics, business intelligence, marketing analytics, performance measurement, or a related field
• Expert SQL skills with demonstrated experience querying, transforming, and validating large datasets
• Extensive experience building and maintaining reports, data modelling, and dashboard visualization
• Expert knowledge of dimensional modelling concepts, including fact and dimension tables and star schema design
• Expert experience developing automated data pipelines using SQL, Knime, or similar technologies
• Azure Synapse Analytics or similar modern analytics platform experience is highly desirable
• Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences

Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Business Analytics, or a related quantitative discipline. 3+ years of experience in analytics, business intelligence, marketing analytics, performance measurement, or a related field.