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: $69,000 - $104,000 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

• Expert-level skills in Microsoft Excel, Power Query, and Power BI for data analysis and visualization.
• Proficiency in Microsoft Fabric for data integration, analytics, and reporting.
• Strong programming abilities in SQL, M-Script, and DAX for data modeling and automation.
• Proven experience as a tool builder—designing, developing, and maintaining analytical tools and dashboards.
• Demonstrated ability to update and optimize business processes for efficiency and scalability.
• Bonus:
  Proficiency in Python for advanced analytics and automation.

Educational Background

• Post-secondary degree in Statistics, Business Analytics, Data Science, Economics, Mathematics or related technical disciplines, MSc preferred but not required.
• Preferred:
  Data analytics certificate or degree (Statistics, Business Analytics, Data Science, Economics, Mathematics, or related technical discipline).

Commercial Skills

• Ability to facilitate discussions and validate solutions with end users .
• Strong commercial acumen with awareness of P&L drivers.
• Preferred:
  Experience with NIQ data and methodologies.
• Ability to collaborate with Sales, Marketing, Finance, and Business Analytics teams.

What We Offer at Maple Leaf Foods:

• Being part of a high-performance, people-focused company that has an inspiring and unique vision to become the most sustainable protein company on earth, and a deep commitment to sustainable protein across North America.
• An inclusive company culture and a work environment that keeps our people safe, rewards excellence, and empowers everyone to learn and contribute their best.
• Competitive Health and Wellness benefits that offer flexibility to meet your individual or family needs, including programs focused on improving mental health and wellbeing. These benefits start on your first day of employment.
• Defined Contribution Pension Plan with company matching that starts on your first day of employment.
• Learning and development opportunities, including workshops, ‘speaker series’ events, and resources that allow you to develop your skills and…