Supply Chain Data & Insights Analyst

Constellium Deutschland GmbH; Ravenswood (WV); On-site; USD 70,000 - 90,000; Full time

Job summary

Constellium Ravenswood is seeking a Production Analyst to ensure timely, accurate information for data-driven decisions across Supply Chain, Sales, Finance and Operations. You will distill and interpret data, identify trends and present options for action to leadership.

The role involves collaborating with IT and other departments to enhance tools, lead continuous improvement projects, and support the production planning team in SAP. A strong data analytics background is essential.

Qualifications

• Bachelor’s degree in Industrial Engineering or related field and 2–3 years of experience in operations data analytics.
• Experience simulating and resolving supply chain problems using advanced spreadsheets and data tools.
• Experience with Excel pivot tables, macros and database queries.

Responsibilities

• Analyze order book, demand, production KPIs and quality data to support decisions.
• Maintain and enhance supply chain data collection, display and analysis tools.
• Develop new tools using Excel, PowerBI, SAP for real-time decision making.
• Provide data support for production units and drive continuous improvement projects.
• Document workflows and train backups; back up production planning tasks in SAP.
• Participate in interdepartmental supply chain and operations improvement initiatives.

Skills

Industrial Engineering

Data analytics

Excel

Pivot tables

Macro programming

Database queries

Education

Bachelor's degree in Industrial Engineering

Tools

PowerBI

SAP

Microsoft Excel

Job description

Constellium Ravenswood is seeking a Production Analyst to ensure timely, accurate information for data-driven decisions across Supply Chain, Sales, Finance and Operations. You will distill and interpret data, identify trends and present options for action to leadership.

The role involves collaborating with IT and other departments to enhance tools, lead continuous improvement projects, and support the production planning team in SAP. A strong data analytics background is essential.