Lead Analyst, Supply Chain Planning

About the role

Analog Devices is seeking a Supply Chain Planning Analytics Lead to turn manufacturing, inventory, demand and operational data into insights, forecasts and capacity plans that support business growth. The role sits between supply chain planning, advanced analytics and executive decision support, building and scaling an analytics capability within Central Planning. It is based in Beaverton, Oregon, with about 10% travel required.

Key responsibilities

• Build and expand the analytics capability in supply chain planning using manufacturing, inventory, demand and operational data to find trends, risks and opportunities.
• Analyze large, complex datasets from multiple sources and turn them into clear business insights and recommendations.
• Identify root causes of supply chain issues such as supply-demand imbalances, inventory risks, capacity constraints and operational disruptions, and drive corrective actions.
• Develop scalable analytical models and frameworks for repeatable decision-making across planning processes.
• Own and improve dashboards, reporting tools, data models and queries used for executive reviews, revenue forecasting and long-range planning.
• Partner with supply chain planners, manufacturing teams, finance and business leaders to turn insights into measurable results.
• Lead the adoption of AI and advanced analytics for forecasting, anomaly detection, scenario modeling and decision support.
• Evaluate emerging technologies and set scalable analytics solutions and best practices.
• Communicate complex analytical concepts to technical and non-technical audiences.

Required profile

• Bachelor's degree in Supply Chain, Engineering, Operations Research, Data Analytics, Business or a related field.
• Experience in supply chain planning, manufacturing operations, analytics, business intelligence or a related discipline.
• Experience with large-scale operational, manufacturing, supply chain or planning datasets.
• Preferred: experience applying AI, machine learning, predictive analytics or data science techniques, and experience building forecasting, optimization, simulation or decision-support models.
• Preferred: knowledge of semiconductor manufacturing, supply chain planning or capacity management processes.

Required skills

• Data analysis, reporting, visualization and analytical tools.
• Strong analytical and problem-solving skills.
• Communication and stakeholder management skills.

What we offer

• Expected wage range of $109,600 to $150,700 for a new hire, with possible variation.
• Discretionary performance-based bonus.
• Medical, vision and dental coverage, 401k, paid vacation, holidays and sick time.