Senior Data Analyst, Merchandise Procurement

Sportchek; Toronto; Hybrid; CAD 53,000 - 88,000; Full time

Benefits offered by this job

Comprehensive benefits

Retirement programs

Product discounts

Career growth opportunities

Job summary

Sportchek is seeking an analytics professional to partner with procurement to deliver reporting, data management, and analytics across enterprise data sources. You will build data assets, ensure data quality, and enable data-driven vendor negotiations and forecasting.

The role emphasizes SQL proficiency, dimensional modeling, and automated data pipelines, with a focus on modern analytics platforms and stakeholder collaboration.

Qualifications

• Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Data Science, CS, Economics, Business Analytics).
• 3+ years of analytics, business intelligence, marketing analytics, or related field.
• Expert SQL skills with large datasets.
• Experience building reports, data modeling and dashboards.
• Expert in dimensional modeling with fact and dimension tables.
• Experience developing automated data pipelines using SQL, KNIME or similar.
• Experience with Azure Synapse Analytics or similar is highly desirable.
• Excellent communication and stakeholder management skills.

Responsibilities

• Work extensively with enterprise data, indices and stakeholders to provide reporting, analytics, and data management support for procurement.
• Champion data quality, governance standards across procurement datasets.
• Support reporting, forecasting, vendor performance analysis, and decision support models with data.
• Lead EDW to iHub transition and contribute to data architecture, integration, and self-service analytics.
• Support Enterprise Sourcing Management with data migration and ETL efforts.

Skills

SQL

Data analytics

Data visualization

Dimensional modeling

ETL pipelines

Stakeholder management

Communication

Education

Bachelor's degree in a quantitative discipline

Tools

KNIME

Azure Synapse

Job description

**What you’ll do:*** You will work extensively with CTC enterprise data, international commodity indices, and cross-functional stakeholders to provide reporting, analytical, and data management support for merchandise procurement. This includes cost indices and projections, vendor funds analysis, vendor spend analytics, and the integration of multiple internal and external data sources to support strategic decision-making.* You will champion data quality, data integrity, and governance standards across procurement datasets, ensuring information is accurate, reliable, consistent, and actionable. Through effective data stewardship, management practices and PI planning participation, you will help build trusted data assets that support reporting, forecasting, vendor performance analysis, and decision support models.* These reports, data products, and analytical models will enable CTC merchandise teams to negotiate more effectively with vendors through deeper insights into procurement performance and market conditions. Leveraging modern analytics platforms, AI technologies, and fact-based reporting, you will enable more effective vendor negotiations, optimize sourcing decisions, and enhance predictive decision-making capabilities.* You will help lead the Procurement team into the future by adopting and leveraging emerging AI, architect & lead all EDW to iHub transition efforts and applying advanced analytics technologies. You will also contribute to the development of robust data architecture, data integration frameworks, and self-service analytics capabilities that improve business agility and operational efficiency. You will also support Enterprise Sourcing Management (ESM) with data migration and data ETL efforts. **What you bring:*** 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 experience querying, transforming, and validating large datasets.* Extensive experience building & maintaining reports, data modeling and dashboard visualization.* Expert experience of dimensional modeling concepts, fact and dimension tables and star schema design* Expert experience developing automated data pipelines using SQL, Knime or similar technologies.* Experience with Azure Synapse Analytics or similar modern analytics platforms is highly desirable.* Excellent communication and stakeholder management skills with the ability to explain technical concepts to non-technical audiences. We’re always looking for great talent! In addition to competitive pay, we offer:* Comprehensive benefits and retirement programs* Performance incentives, Continuing Education Programs* Other perks to support your well-being* Career growth opportunities and product discounts**Broadband Salary Range:** $53,000 – $88,000. Our typical *hiring range*is between $53,000 and $70,000. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.This posting represents an existing vacancy within our organization.We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.