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Logistics and Compliance Analyst

Longo's
Vaughan, CAN
Mid-Senior
Onsite
Discovered Today
Supply chain planningDemand planning and forecastingInventory managementMicrosoft ExcelSQLArtificial intelligence

Full Job Posting

Role overview

Reports to the Replenishment Manager and supports supply chain performance through demand planning, analytics, continuous improvement, and digital innovation.

Turns data into actionable insights and supports AI-enabled decision-making, operational efficiency, and supply chain transformation.

Planning, analytics, and improvement

  • Analyze forecasts, trends, inventory, service levels, and replenishment performance; develop reporting tools, dashboards, and scorecards.
  • Use SQL, Excel, Python, and other tools to analyze complex datasets, automate reporting, and recommend business improvements.
  • Lead continuous improvement efforts, support root cause analysis and corrective actions, document processes, and contribute to strategic projects.

AI and supplier performance

  • Champion AI and Microsoft Copilot adoption, identify automation opportunities, develop AI-enabled workflows, and support team training and change management.
  • Track supplier OTIF, fill rates, availability, and order compliance; resolve service issues with vendors and internal stakeholders.
  • Develop supplier reporting and scorecards and collaborate across Merchandising, Distribution, Replenishment, and vendors.

Stakeholder and safety responsibilities

  • Partner with Supply Chain, Merchandising, Operations, Finance, IT, vendors, category managers, store management, and warehouse management.
  • Promote safe work practices, identify and address safety risks, support equipment checks, and ensure team members are trained to work safely.

Knowledge, skills, and credentials

  • Post-secondary education in supply chain, business, engineering, analytics, statistics, mathematics, computer science, or a related discipline.
  • At least 1–3 years in supply chain planning, demand planning, inventory management, or business analytics, including practical AI application.
  • Strong knowledge of supply chain planning, forecasting, inventory management, and retail replenishment; advanced Excel and working SQL knowledge.
  • Experience with ERP, forecasting, replenishment, or supply chain planning systems and demonstrated use of Microsoft Copilot and other AI technologies.
  • Business intelligence tools, Python, relevant certifications, and grocery retail, CPG, or distribution experience are assets.

Core competencies

  • Strategic and analytical thinking, continuous improvement, digital and technology acumen, problem solving, and innovation.
  • Clear communication, influencing, planning and organization, learning agility, attention to detail, and relationship management.

Working conditions

  • Work is performed in a standard office environment with meetings and extended computer-based data analysis.
  • The role requires managing multiple priorities and deadlines in a changing retail environment.

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