Supply Chain Analytics Manager

INFICON is seeking a strategic and forward‑thinking Supply Chain Analytics Manager to lead the ISS Division’s supply chain analytics strategy, data architecture, KPI design, reporting, and decision-support capabilities. In this high-impact role, you will transform complex operational data into actionable insight that improves planning accuracy, optimizes inventory and working capital, enhances supplier performance, and drives operational excellence across a global high-tech manufacturing environment.

Partnering closely with cross-functional leaders across planning, procurement, operations, and finance, you will build the visibility, discipline, and predictive capability needed to support faster, smarter decisions across the end-to-end supply chain. This is an opportunity to make a visible impact within an innovation-led organization where analytics is a critical driver of growth, efficiency, and customer success.

Key Responsibilities:

 

• Lead the ISS Division’s end-to-end supply chain analytics strategy, including KPI architecture, reporting governance, and performance measurement across planning, procurement, inventory, and logistics.

• Develop and maintain executive-ready dashboards and reporting that provide visibility into on-time delivery, material availability, inventory turns, forecast accuracy, supplier performance, and procurement cost trends.

• Serve as the analytical lead for the monthly SIOP process, supporting demand planning, consensus forecasting, supply-demand balancing, risk assessment, and leadership decision-making.

• Build models and decision-support tools to evaluate forecast accuracy, revenue at risk, supply constraints, capacity exposure, and scenario outcomes.

• Deliver procurement and supplier analytics, including spend analysis, PPV tracking, lead-time performance, supplier scorecards, and cost-reduction measurement to support sourcing and QBRs.

• Build and manage data pipelines and reporting structures from SAP (MM, PP, SD, WM) and related systems, enabling scalable, automated analytics and self-service reporting through Power BI, Tableau, or SAP Analytics Cloud.

• Establish and enforce data governance standards to ensure accuracy, consistency, and integrity across supply chain data sources.

• Identify operational inefficiencies and drive cross-functional continuous improvement initiatives through predictive analytics, leading indicators, and digital supply chain tools.