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INFICON logo

Supply Chain Analytics Manager

INFICON
Posted Jun 19, 2026, 9:38 PM UTC
📦Relocation support
🇺🇸United States
📁Data & Analytics
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INFICON is a leading provider of innovative instrumentation, critical sensor technologies, and Smart Manufacturing/Industry 4.0 software solutions that enhance productivity and quality of tools, processes, and complete factories. These analysis, measurement and control products are essential for gas leak detection in air conditioning/refrigeration and automotive manufacturing. They are vital to equipment manufacturers and end-users in the complex fabrication of semiconductors and thin film coatings for optics, flat panel displays, solar cells and industrial vacuum coating applications. Other users of our vacuum-based processes include the life sciences, research, aerospace, packaging, heat treatment, laser cutting and many other industrial processes. We also leverage our expertise in vacuum technology to provide unique, toxic chemical analysis products for emergency response, security, and environmental health and safety. 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. Education: Bachelor's degree in Supply Chain, Engineering, Data Analytics, Business Analytics, or related field. Required Qualifications 5–7+ years of experience in supply chain analytics, business intelligence, or operations analytics Experience building dashboards, KPIs, and analytics to support decision-making Strong proficiency with SQL, Excel, and Business Intelligence tools (Power BI, Tableau, etc.) Experience working with ERP/MRP data in a manufacturing environment Strong analytical, communication, and stakeholder management skills Preferred Qualifications SAP experience Experience supporting forecasting, inventory optimization, or SIOP analytics Experience with Python, R, or similar tools Experience in semiconductor equipment, precision instruments, medical devices, analytical technology, aerospace/defense, or other complex manufacturing environments The expected salary range for this position is between $90k and $130k per year. The actual compensation will be determined based on experience, location, and other factors permitted by law. In addition, INFICON employees are eligible for a profit-sharing bonus with a target of 10% as well as 401K match up to 8% (vesting schedule). A relocation package may be available for qualified candidates. INFICON provides a dynamic work environment that promotes diversity, equity, and inclusion. Our employees experience ongoing green initiatives, flexible work hours, and a variety of health and wellness programs. INFICON’s forward-thinking approach offers countless opportunities to design, support, and manufacture a diverse product portfolio that expands globally. Our Lean and Agile work environment offers competitive compensation, relocation assistance, a discretionary bonus, and generous employee benefits; major medical, dental, health, vision, 401K, vacation and sick time, tuition reimbursement, and more! INFICON is committed to ensuring that our online application process provides an equal opportunity to all job seekers that apply without regard to race, religion, ethnicity, national origin, citizenship, gender, age, protected veteran status, disability status, genetic information, sexual orientation, or any other protected characteristic. A notice describing Federal equal employment opportunity laws is available here to reaffirm this commitment. Any contact that would like to request a reasonable accommodation to participate in the application process should contact [email protected] . INFICON, Inc. strictly complies with all aspects of the Export Administration Regulations ('EAR'), including those sections dealing with deemed exports to foreign nationals.

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