Configuration Analyst

About the Role

As a Configuration Analyst, you will play a key role in designing, implementing, maintaining, and deploying product variant configuration models for new and existing products using SAP Variant Configuration (VC) Module.

Key Responsibilities

• Design and implement variant configuration models for new products and maintain, enhance, and deploy existing models.
• Utilize best practices and effectively leverage VC objects such as characteristics, classes, configuration profiles, constraints, procedures, selection conditions, super BOMs, super routings/recipes, variant tables, user interfaces, and variant pricing.
• Understand material variants, price linking, sales order costing, and configuration dependencies to ensure accurate and efficient product configurations.
• Conduct regular reviews of existing product configuration models and business requirements, identifying opportunities for standardization, optimization, automation, and continuous improvement.
• Facilitate and lead weekly Configuration Review meetings with cross-functional stakeholders to review configuration changes, resolve issues, align requirements, and drive timely decision-making.
• Maintain and manage the Configuration Review Tracker, ensuring all action items, change requests, approvals, and implementation statuses are accurately documented and followed through to closure.
• Validate and ensure the accuracy of Final Quotations (FQs), Sales Orders (SOs), and configured BOMs by performing configuration reviews, issue analysis, and system verification checks.
• Partner with Product Management, Engineering, Operations, Supply Chain, Planning, and IT teams to evaluate new product introductions (NPI), engineering changes (ECOs), and customer-specific requirements.
• Support troubleshooting and resolution of configuration-related issues impacting quotations, order processing, planning, manufacturing, costing, and customer deliveries.
• Drive governance and change control processes to ensure configuration integrity, traceability, and compliance across product lifecycles.
• Provide user training, coaching, and subject matter expertise on variant configuration processes, tools, and best practices.

Requirements & Tech Stack

• SAP Variant Configuration (VC) Module
• SAP (preferred, basic understanding)
• Oracle (preferred, basic understanding)
• NetSuite (preferred, basic understanding)
• Microsoft Office (proficient, particularly Excel)
• AI-powered tools (demonstrated interest in leveraging)
• Microsoft Copilot (experience is an advantage)
• ChatGPT (experience is an advantage)
• Power BI (experience is an advantage)
• Power Automate (experience is an advantage)

Qualifications

• Bachelor's degree in Engineering, Supply Chain Management, Information Systems, Business Administration, Manufacturing, or a related discipline.
• 0-3 years of relevant experience in product configuration, engineering support, ERP systems, manufacturing operations, supply chain, or related business functions.
• Fresh graduates with strong analytical skills are encouraged to apply.
• Basic understanding of ERP systems and manufacturing business processes is preferred.
• Exposure to SAP Variant Configuration (VC), BOM management, engineering change processes, or product data management is an advantage but not mandatory.
• Strong analytical and problem-solving skills with the ability to learn complex product structures and configuration rules.
• Ability to interpret and analyze Bills of Materials (BOMs), product configurations, engineering documentation, and business requirements.
• Good communication and interpersonal skills with the ability to collaborate effectively across cross-functional teams.
• Detail-oriented with a strong focus on data accuracy, process compliance, and continuous improvement.
• Experience with data analysis and reporting tools is an advantage.
• Self-motivated learner with the ability to manage multiple tasks and adapt to a fast-paced, dynamic environment.
• Willingness to work with global teams across different regions and time zones when required.
• Demonstrated interest in leveraging AI-powered tools and digital technologies to improve productivity, data analysis, and business processes.
• Ability to learn and adopt emerging technologies, including AI-powered assistants (Copilots), workflow automation tools, and data analytics solutions.
• Curiosity and willingness to challenge existing processes, identify automation opportunities, and drive continuous improvement initiatives.
• Ability to effectively combine business knowledge with AI and automation tools to improve efficiency, accuracy, and scalability of operational processes.