Senior Logistics & Fulfillment Analyst - AI-Driven Insights

Tapestry (Coach/Kate Spade); Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Tapestry seeks a Senior Analyst, Logistics & Fulfillment to support Southeast Asia and Oceania, partnering with logistics providers, carriers, and fulfillment centers to ensure efficient movement of goods, strong service performance, and cost optimization. The role emphasizes data analytics, AI-driven insights, and continuous improvement through KPI monitoring, forecasting, and cost governance.

You will influence operations with fact-based recommendations and collaborate across cross-functional

Qualifications

• Strong analytical capability with the ability to interpret large operational datasets and translate findings into business recommendations.
• Advanced proficiency in Microsoft Excel, Power BI, and data visualization tools.
• Proficiency in leveraging AI-powered tools, including Microsoft Copilot and approved business AI solutions, to perform data analysis, identify trends, generate insights, and improve productivity.
• Ability to formulate effective prompts and utilize AI tools to accelerate root cause analysis, business reporting, and process improvement, and support decision-support.
• Understanding of transportation, warehousing, and inventory management, and service metrics.

Responsibilities

• Monitor inbound, outbound, inventory, returns, productivity, quality, and service KPIs.
• Drive logistics partners to investigate service gaps, identify root causes, and implement corrective actions.
• Provide early visibility of operational, capacity, cost, compliance, and business continuity risks.
• Analyze transportation, fulfillment, inventory, service, and cost performance using logistics provider and internal data.
• Transform operational data into actionable insights, identifying trends, risks, root causes, and improvement opportunities.
• Leverage AI and analytics tools to accelerate analysis, improve reporting efficiency, and support decision-making.
• Challenge data quality, reporting assumptions, and KPI methodologies to ensure accurate and meaningful performance measurement.
• Partner with logistics providers to enhance dashboards, reporting, and end-to-end supply chain visibility.
• Present clear, fact-based insights and recommendations to management.
• Track forecast accuracy by comparing demand, actual volumes, and available capacity.
• Support peak season planning across labor, space, and throughput requirements.
• Identify potential constraints and recommend mitigation actions.
• Validate warehouse, transportation, customs, and logistics charges against agreed rates and supporting documentation.
• Support accruals, cost reconciliation, invoice dispute resolution, and billing controls.
• Analyze cost drivers and identify optimization opportunities.
• Analyze end-to-end processes and recommend practical improvements.
• Support automation, systems enhancements, SOP development, and logistics projects.
• Track project milestones, risks, actions, and business benefits.
• Prepare operational reviews and performance scorecards for internal and external stakeholders.
• Coordinate issue resolution and follow‑up with logistics partners and cross‑functional teams.
• Communicate risks, insights, and required actions in a timely and effective manner.

Skills

Data analysis

AI tools

Excel

Power BI

Data visualization

Storytelling with data

Stakeholder influence

Supply chain metrics

Education

Bachelor's degree in Supply Chain/Logistics/Business/Analytics

Tools

Power BI

Microsoft Copilot

Job description

Tapestry seeks a Senior Analyst, Logistics & Fulfillment to support Southeast Asia and Oceania, partnering with logistics providers, carriers, and fulfillment centers to ensure efficient movement of goods, strong service performance, and cost optimization. The role emphasizes data analytics, AI-driven insights, and continuous improvement through KPI monitoring, forecasting, and cost governance.

You will influence operations with fact-based recommendations and collaborate across cross-functional