Supply Chain Analytics Manager
- Compensation
- Not disclosed
- Location
- East Syracuse, NY, us
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 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
Nice to have
- 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
Full description
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