Data Product Analyst

The Opportunity :

We’re looking for a creative, self-motivated Data Product Analyst to power the analytics behind our Revenue Growth Management strategy. Join us and help build the analytical tools that shape pricing, promotions, and commercial strategy at Maple Leaf Foods. You’ll design and deliver data products using Microsoft Fabric, Power BI, SQL, M Script, DAX, and more—turning complex data into actionable insights and improved business processes.

Any MLF team member interested in being considered for this role are encouraged to apply online by February 26. Applications received beyond that date are not guaranteed consideration.

Reason for vacancy : Existing Headcount

Compensation : $69, - $, CAD base pay annually plus annual short-term incentive

Snapshot of a Day-in-the-Life :

• Manage Pricing Guardrails : Own the monthly refresh process for Revenue Growth Management tools. Integrate data from multiple sources, prepare standardized files, and troubleshoot issues to ensure accurate, timely updates.
• Develop Fabric Data Models : Build and maintain Microsoft Fabric models to streamline data integration. Define ETL using Power Query / M and SQL, work with Business Analytics team to create semantic layers.
• Enhance Dashboards and Interfaces : Develop self-service tools to improve integration, usability and efficiency of data sources. Collaborate with end users to simplify navigation, optimize performance, and incorporate guided analytics features that enable faster, more confident decision-making.
• Advance Commercial Analytics : Expand analytical capabilities by creating reusable data volume causal decomposition and promotional return on investment. Apply advanced analytics and Python-based techniques for forecasting and anomaly detection, translating insights into actionable recommendations.
• Ensure Data Quality and Governance : Partner with the Business Analytics team to maintain clean, governed data and accurate hierarchies. Implement checks, alerts, and reconciliation routines, and contribute to governance policies to ensure consistency across datasets, models, and reports.

What You’ll Bring : Technical Skills

Educational Background

Commercial Skills

What We Offer at Maple Leaf Foods :