Strategic Demand & Supply Planner – SIOP & Analytics

Avtron Power Solutions, LLC; Cleveland (OH); On-site; USD 85,000 - 105,000; Full time

Job summary

Avtron Power Solutions seeks a Demand and Operations Planning Analyst in Cleveland, OH to align operations with supply chain capabilities and optimize inventory. You will support SIOP processes and generate timely KPI reports using SAP, Excel, and Power BI.

The role emphasizes monthly collaborative forecasting with Sales and Operations, data integrity, and development of standardized tools for SCM efficiency.

Qualifications

• BA/BS in Business, Statistics, Industrial Engineering, or Supply Chain Management required.
• 5-7 years’ progressive experience in SIOP and data analysis for SCM, operations, and/or finance; preferably manufacturing operations.
• Advanced user of SAP, Excel, PowerPoint and databases.
• Advanced analytical and presentations skills required.

Responsibilities

• Demand Forecasting: Build and update monthly statistical demand forecasts using past sales data, market trends, and CRM data.
• Operations Alignment: Assess production capacity and capability against forecasted demand.
• SIOP Management: Support data for SIOP meetings and reporting.
• Inventory Control: Monitor stock levels and reorder points in ERP systems.
• KPI Tracking: Measure forecast accuracy, inventory turns, and service levels.
• Monthly forecasting collaboration between Supply Chain, Sales, and Operations.

Skills

multitask

problem solving

interpersonal skills

organization

safety awareness

Education

BA/BS in Business, Statistics, Industrial Engineering, or Supply Chain Management

Tools

SAP

Excel

Power BI

Databases

Job description

Avtron Power Solutions seeks a Demand and Operations Planning Analyst in Cleveland, OH to align operations with supply chain capabilities and optimize inventory. You will support SIOP processes and generate timely KPI reports using SAP, Excel, and Power BI.

The role emphasizes monthly collaborative forecasting with Sales and Operations, data integrity, and development of standardized tools for SCM efficiency.