Global Data Analyst

Our client is seeking a Global Data Analyst to play a key role in shaping decision-making across their international operations. This position sits at the centre of commercial strategy, global trading, and operational performance—turning complex, multi-region data into clear insights that inform senior leadership.

This role is well suited to a commercially driven analyst who understands how global sales, procurement, trading exposure, and operations connect, and who can convert complexity into practical, performance-driving recommendations.

Global Data Analyst –Details

• Permanent, full-time position based in Mississauga, ON
• On-Site role, Monday - Friday
• $115,000–$140,000, depending on experience
• Comprehensive benefits starting Day 1
• Employer RRSP match up to $750 per year
• Vacation: 3 weeks annually
• International travel required (approximately 20–30%)

Global Data Analyst –Responsibilities

• Analyze global sales, procurement, and trading position data to evaluate margins, performance, and risk exposure across regions.
• Design and maintain dashboards and analytical models tracking KPIs related to revenue, cost drivers, inventory, and operational efficiency.
• Provide data-driven insight and scenario analysis to support pricing strategy, sourcing decisions, and market entry initiatives.
• Partner with operations teams to assess process efficiency, logistics costs, and working capital utilization.
• Identify opportunities to improve global operating performance, reduce costs, and enhance decision-making through better use of data.
• Collaborate with research and innovation teams on forecasting, automation, and AI-driven analytics initiatives.
• Ensure analytical tools and models accurately reflect real-world commercial and operational conditions.
• Work cross-functionally and across regions, aligning stakeholders in multiple global jurisdictions.
• Support global initiatives through on-site engagement and international travel as required.

Global Data Analyst – Qualifications

• Bachelor’s degree in Business, Economics, Finance, Engineering, or a related field; MBA considered an asset.
• 8–10 years of experience in data analysis within global operations, international trade, or multi-regional environments.
• Strong analytical, financial modeling, and data visualization capabilities.
• Proven ability to collaborate effectively with culturally diverse, geographically dispersed teams.

• Background in commodities, agriculture, or global trading environments.
• Exposure to advanced analytics, AI initiatives, or data science projects.
• Strong communication skills with the ability to present insights to executive leadership.
• Commercially astute, detail-oriented, and comfortable operating in a fast-paced global setting.