Carlisle Weatherproofing Technologies (CWT) is looking for a Supply Chain Data Analyst to ensure the accuracy, reliability, and usability of supply chain data to support efficient business operations and enhance planning, procurement, and forecasting functions.
Requirements
- Advanced proficiency in Microsoft Excel, Power BI, SharePoint, and SQL.
- Working knowledge of ERP and SCM systems (JDE and/or SAP).
- Strong understanding of data management principles, governance, and architecture.
- Minimum 3+ years supporting ERP/SCM platforms and performing data analysis in a manufacturing or supply chain environment.
- Experience with master data management (MDM), data governance, and forecast modeling for raw materials.
Responsibilities
- Ensure supply chain data sets are accurate, consistent, and properly maintained across systems and platforms.
- Conduct root cause analysis and data profiling to identify, document, and resolve data quality issues.
- Develop, execute, and monitor validation protocols and unit tests for master data integrity.
- Support ERP and SCM systems (JDE, SAP) to optimize supply chain planning, procurement, and forecasting accuracy.
- Build and maintain reports and dashboards using Power BI, Excel, and SQL to deliver actionable insights.
- Maintain documentation for data management processes, governance policies, and user procedures.
- Identify and implement continuous improvement opportunities in data architecture, systems, and workflows.
Other
- Hybrid work model out of Dallas, TX or Carlisle, PA office.
- Collaborate across functions—including Product Management, Finance, R&D, Engineering, and Operations.
- Educate stakeholders on data standards, tools, and best practices to promote data-driven decision-making.
- Strong analytical and problem-solving skills with a data-driven mindset.
- Excellent communication and collaboration skills across business and technical teams.
- Ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.
- Bachelor's degree in Supply Chain Management, Data Analytics, Computer Science, or a related field.
