Lead supply chain analytics with Python and SQL at Tiger Analytics, guiding offshore teams and translating business challenges into scalable solutions. This senior manager role combines hands-on analytics expertise, stakeholder management, and team leadership. You will support Retail and CPG initiatives involving demand planning, supply planning, shipping, inventory management, and data migration. The work connects business analysis, data science, engineering, and executive decision-making. Key Responsibilities:
Lead offshore teams delivering supply chain analytics initiatives Engage Director and VP-level stakeholders on solution approaches Architect scalable data analytics frameworks and solutions Develop predictive and prescriptive production models Maintain data quality, validation, and governance standards Requirements:
Eight to fourteen years of professional experience Five-plus years in business or data analytics Mandatory Retail or CPG domain experience Strong Python and SQL hands-on expertise Experience with Power BI or similar visualization tools Apply supply chain expertise, advanced analytics, Python, and SQL to deliver scalable solutions for Tiger Analytics clients.
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Senior Supply Chain Analytics Manager in Toronto employer: Tiger Analytics
Tiger Analytics is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Toronto. With a strong focus on employee growth, we offer ample opportunities for professional development and skill enhancement, particularly in cutting-edge technologies like Neo4j. Our commitment to work-life balance and a supportive environment makes us an ideal place for those seeking meaningful and rewarding careers in data governance and architecture.
