Senior Manager, Data Analytics & AI Strategy

Skillhub Solutions Inc.; Mississauga; On-site; CAD 109,000 - 150,000; Full time

Job summary

Walmart Canada in Mississauga, ON is hiring a Senior Manager, Data Analytics to lead an analytics team and partner with business leaders to turn data into decisions and measurable improvements in retail performance.

You will oversee analytics and reporting for sales, margin, customer experience and operations, drive AI-enabled insights, translate priorities into questions, and mentor analysts while maintaining data governance.

Qualifications

• 7+ years in data analytics or related field; retail/consumer experience preferred.
• Proficient with SQL, Tableau, Power BI, BigQuery or Python.
• Experience leading AI implementation delivering measurable business value.
• Strong communication and stakeholder management.
• People leadership experience.

Responsibilities

• Lead analytics, reporting and decision-support products for sales, margin, customer experience and operational performance.
• Identify retail use cases for AI-enabled analytics and lead responsible implementation and adoption.
• Translate business priorities into analytical questions, requirements and measurable outcomes.
• Interpret performance trends, identify root causes and recommend practical actions to stakeholders.
• Lead and develop analysts; establish standards for data quality, insight communication and delivery.
• Define and monitor retail KPIs, and promote self-service reporting and trusted data assets.
• Champion data governance and communicate insights to executive audiences.

Skills

SQL

Tableau

Power BI

BigQuery

Python

AI adoption

People leadership

Stakeholder management

Data governance

Analytical mindset

Tools

BigQuery

Job description

Walmart Canada in Mississauga, ON is hiring a Senior Manager, Data Analytics to lead an analytics team and partner with business leaders to turn data into decisions and measurable improvements in retail performance.

You will oversee analytics and reporting for sales, margin, customer experience and operations, drive AI-enabled insights, translate priorities into questions, and mentor analysts while maintaining data governance.