1 день назад
Supply Chain Analytics Manager
90 000 - 130 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Supply Chain Analytics Manager (Supply Chain Analytics): Building end-to-end analytics strategy, dashboards, data pipelines, and decision-support tools for a global high-tech manufacturing supply chain with an accent on KPI architecture, forecasting, inventory, supplier performance, and SAP data. Focus on supporting SIOP, modeling supply constraints and scenario outcomes, and establishing scalable data governance and self-service reporting.
Location: East Syracuse, NY, USA
Salary: USD 90,000–130,000 per year, plus a target 10% profit-sharing bonus.
Company
provides instrumentation, sensor technologies, and Smart Manufacturing/Industry 4.0 software for semiconductor, industrial, automotive, aerospace, life sciences, and other complex manufacturing applications.
What you will do
- Lead the ISS Division’s end-to-end supply chain analytics strategy, KPI architecture, reporting governance, and performance measurement.
- Develop executive dashboards for delivery, material availability, inventory turns, forecast accuracy, supplier performance, and procurement costs.
- Support the monthly SIOP process through demand planning, consensus forecasting, supply-demand balancing, risk assessment, and leadership decision-making.
- Build models and decision-support tools for revenue at risk, supply constraints, capacity exposure, forecast accuracy, and scenario analysis.
- Deliver procurement and supplier analytics, including spend analysis, PPV tracking, lead-time performance, supplier scorecards, and cost-reduction measurement.
- Build SAP-based data pipelines and reporting structures while driving data governance, predictive analytics, and continuous improvement.
Requirements
- Bachelor’s degree in Supply Chain, Engineering, Data Analytics, Business Analytics, or a related field.
- 5–7+ years of experience in supply chain analytics, business intelligence, or operations analytics.
- Experience building dashboards, KPIs, and analytics for business decision-making.
- Strong proficiency with SQL, Excel, and business intelligence tools such as Power BI or Tableau.
- Experience with ERP/MRP data in a manufacturing environment and strong stakeholder management skills.
Nice to have
- SAP experience, including supply chain-related data.
- Experience with forecasting, inventory optimization, or SIOP analytics.
- Experience with Python, R, or similar tools.
- Background in semiconductor equipment, precision instruments, medical devices, aerospace/defense, or other complex manufacturing environments.
Culture & Benefits
- Full-time position with flexible work hours in a Lean and Agile environment.
- Profit-sharing bonus with a target of 10% and 401(k) matching of up to 8%.
- Health, dental, vision, wellness, vacation, sick time, and tuition reimbursement benefits.
- A relocation package may be available for qualified candidates.
- Workplace initiatives include diversity, equity and inclusion, and green programs.
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