Supply Chain Analyst – Analytics & Transformation
Thermo Fisher Scientific
- Location
- Charlotte, North Carolina, United States of America
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 76 approvals (FY2023)
- Posted
- Sep 11, 2026
Skills
About this role
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Supply Chain Analyst – Analytics & Transformation The Opportunity We are seeking a Supply Chain Analyst to join the Filtration and Separation Division and play a key role in strengthening our supply chain analytics capabilities while supporting a significant ERP transformation. This is an opportunity for someone who enjoys working at the intersection of supply chain, manufacturing, data, technology, and continuous improvement. You will turn complex operational data into actionable insights, develop scalable analytics and automation solutions, and partner across the organization to solve meaningful business challenges. A near-term priority for this role will be supporting the E1 implementation, particularly across Quote-to-Cash (QTC), manufacturing, inventory, and related supply chain processes. You will help ensure critical business data is accurate, complete, and implementation-ready while providing the analytics needed to support a successful transition and minimize disruption. Beyond the implementation, you will help build stronger and more sustainable supply chain capabilities—improving visibility, reducing manual work, identifying systemic issues, and enabling better decisions across inventory, forecasting, fulfillment, customer service, and manufacturing. What You’ll Do Support a Critical ERP Transformation Serve as a key supply chain analytics partner for the E1 implementation, with a focus on QTC and manufacturing requirements. Extract and analyze customer, material, order, inventory, manufacturing, and transactional data from existing ERP and business systems. Cleanse, validate, transform, and reconcile complex datasets to ensure data is accurate, complete, consistent, and ready for implementation. Partner with Supply Chain, Manufacturing, IT, Commercial, Finance, and implementation teams to identify data gaps, resolve issues, and reduce implementation risk. Develop repeatable validation controls and reconciliation processes to support data conversion and business continuity. Provide analytical support during cutover, stabilization, and post-implementation issue resolution. Build reporting that provides clear visibility into implementation readiness, data quality, operational risks, and business performance. Build Better Analytics, Automation & Processes Translate supply chain challenges and business requirements into practical data, reporting, automation, and process solutions. Develop dashboards, analytical tools, and automated workflows that make complex information easier to understand and act upon. Use Python, SQL, Power BI, Excel, automation, and emerging AI-enabled tools to improve the speed, quality, and scalability of supply chain analytics. Identify opportunities to replace manual or spreadsheet-intensive processes with sustainable, repeatable solutions. Investigate systemic data and process issues, identify root causes, and partner with stakeholders to implement lasting improvements. Develop business cases that quantify the operational and financial impact of improvement opportunities. Create standard work, process documentation, and training materials that enable successful adoption of new capabilities. Lead analytical and transformation projects from problem definition through implementation and measurable results. Improve Supply Chain Performance Develop reporting and analytics that improve end-to-end visibility and enable faster, more informed decision-making. Identify trends, constraints, risks, and root causes across supply chain and manufacturing performance and translate them into actionable recommendations. Support initiatives focused on inventory optimization and working capital, back-order reduction, fulfillment and customer service improvement, lead-time reduction, forecast accuracy, and manufacturing and operational performance. Establish meaningful KPIs and performance monitoring that enable teams to