Associate Supply Chain Analyst

About the Role

Analog Devices is seeking a motivated Supply Chain Analyst to support global supply chain operations through data analysis, planning, process improvement, and cross-functional collaboration. This role will help address complex supply chain challenges across demand and supply planning, inventory optimization, logistics, customer delivery, capacity planning, and operational performance.

Key Responsibilities

• Analyze supply chain data to identify trends, risks, root causes, and improvement opportunities across planning, logistics, inventory, customer delivery, and operations.
• Support demand planning, supply planning, inventory optimization, capacity planning, logistics analysis, or customer delivery activities.
• Define, track, and report key supply chain metrics and KPIs.
• Develop dashboards, reports, analytical models, and business insights.
• Partner with cross-functional teams including planning, procurement, manufacturing, logistics, customer operations, finance, and IT to resolve supply chain issues and improve processes.
• Translate business requirements into analytical outputs, project deliverables, process improvements, or reporting solutions.
• Support continuous improvement initiatives that enhance supply chain visibility, operational efficiency, customer service, and planning accuracy.
• Communicate findings, recommendations, and project updates to stakeholders across geographically distributed teams.

Requirements & Tech Stack

• Strong analytical and problem-solving skills with the ability to interpret data and develop actionable insights.
• Familiarity with supply chain concepts such as demand planning, supply planning, inventory management, logistics, procurement, capacity planning, or customer delivery.
• Experience using Excel or similar tools for data analysis, reporting, and problem solving.
• Strong written and verbal communication skills.
• Ability to manage multiple priorities and collaborate effectively across teams and regions.
• Relevant coursework, projects, internships, or work experience in supply chain, operations, analytics, or related fields.
• Experience with SQL, Power BI, Tableau, QlikView, Python, or other analytics and visualization tools.
• Exposure to ERP, planning, or supply chain systems such as SAP, Oracle, Anaplan, Kinaxis, or similar platforms.
• Familiarity with supply chain metrics such as forecast accuracy, inventory turns, service level, OTIF, lead time, backorders, capacity utilization, or fulfillment performance.
• Exposure to process improvement, root cause analysis, project management, or continuous improvement methodologies.
• Experience supporting dashboards, KPI reporting, data automation, scenario modeling, or operational analytics.
• Interest in semiconductor, high-tech manufacturing, or global supply chain operations.

Qualifications

• Bachelor's degree in Supply Chain, Industrial Engineering, Business Analytics, Operations, Engineering, Data Analytics, or a related discipline.

Travel Required: Yes, 10% of the time.