INFICON

high-tech manufacturing

SupplyChainAnalyticsManager

$90–130k East Syracuse, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Supply Chain Analytics Manager at INFICON. Skills: Supply Chain Analytics, Data Architecture, KPI Design, Reporting, Decision Support, SAP, Power BI, Tableau, SQL. Lead the ISS Division’s supply chain analytics strategy, data architecture, KPI design, reporting, and decision-support capabilities.. Transform complex operational data into actionable insight.”

What You'll Achieve.

improves planning accuracy; optimizes inventory and working capital; enhances supplier performance; drives operational excellence; build the visibility, discipline, and predictive capability needed to support faster, smarter decisions across the end-to-end supply chain.; on-time delivery; material availability; inventory turns; forecast accuracy; supplier performance; procurement cost trends; revenue at risk; supply constraints; capacity exposure; scenario outcomes; cost-reduction measurement

Industry & Context.

high tech manufacturing
Problems you'll solve

transform complex operational data into actionable insight; identify operational inefficiencies; drive cross-functional continuous improvement initiatives

Eligibility Requirements

Relocation package may be available for qualified candidates.

What They're Looking For.

Must Have

7+ years of experience in supply chain analytics, operations analytics, or business intelligence within complex manufacturing environments., Proven success building KPI frameworks, data models, and analytics tools in multi‑product, global supply chain settings., SAP expertise across PP, MM, SD, and capable of interpreting MRP logic and ERP data structures., Advanced proficiency in data visualization (Power BI or Tableau), including data modeling and executive dashboard design., SQL and data transformation skills., Familiarity with forecasting methods, SIOP/S&OP analytics, capacity modeling, and inventory optimization., Advanced Excel capability for analytical modeling and automation.

Nice to Have

Experience in semiconductor equipment, precision instruments, medical devices, aerospace/defense, or industrial technology., Experience with Python or R., Master’s degree (MBA, MS in Supply Chain, Data Science, or Engineering)., Certifications such as APICS CPIM/CSCP, SAP SCM certification, or Lean Six Sigma.

What You'll Do.

Lead the ISS Division’s supply chain analytics strategy

and decision-support capabilities.

Transform complex operational data into actionable insight.

and predictive capability needed to support faster

smarter decisions across the end-to-end supply chain.

Lead the ISS Division’s end-to-end supply chain analytics strategy

including KPI architecture

and performance measurement across planning

Develop and maintain executive-ready dashboards and reporting that provide visibility into on-time delivery

material availability

and procurement cost trends.

Serve as the analytical lead for the monthly SIOP process

supporting demand planning

consensus forecasting

supply-demand balancing

and leadership decision-making.

Build models and decision-support tools to evaluate forecast accuracy

and scenario outcomes.

Deliver procurement and supplier analytics

including spend analysis

lead-time performance

and cost-reduction measurement to support sourcing and QBRs.

Build and manage data pipelines and reporting structures from SAP (MM

WM) and related systems

automated analytics and self-service reporting through Power BI

or SAP Analytics Cloud.

Establish and enforce data governance standards to ensure accuracy

and integrity across supply chain data sources.

Identify operational inefficiencies and drive cross-functional continuous improvement initiatives through predictive analytics

and digital supply chain tools.

How You'll Work.

Team & Collaboration

Partnering closely with cross-functional leaders across planning, procurement, operations, and finance.

Full Job Description

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 governa

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