Data Analyst and Process Optimization Lead

About the Role

Lead process improvement and data-analysis initiatives to optimize manufacturing operations, supervise master data and costing principles, and act as a super user for the Product Lifecycle Management (PLM) system.

Responsibilities

• Lead Process Improvement Initiatives: manage and oversee the implementation of process improvement projects, ensuring they are completed on time and within scope
• Data Analysis and Reporting: analyze data to identify trends, inefficiencies, and opportunities for process optimization; generate comprehensive reports to support decision-making
• Master Data Management and Costing Principles Update: supervise the integrity of master data, update costing principles in alignment with group requirements and business needs, and serve as a super user for the Product Lifecycle Management system
• Continuous Improvement: drive a culture of continuous improvement by promoting best practices, training team members, and implementing feedback loops
• Stakeholder Collaboration: work closely with internal stakeholders to align process improvements with business objectives and ensure seamless integration of changes
• Documentation, Compliance and Ad Hoc Evaluations: maintain accurate documentation of processes, changes, and outcomes, ensuring compliance with industry standards and company policies; conduct ad hoc evaluations as required

Qualifications

• Bachelor's or Master's degree in Business, Engineering, Data Science, or a related field
• Minimum of 5–10 years of experience in data analysis and project management
• Experience in a manufacturing or production environment is preferred
• Excellent analytical and problem-solving skills; ability to interpret complex data and provide actionable insights
• Strong verbal and written communication skills and ability to collaborate effectively with cross-functional teams and stakeholders
• Strong project management skills with the ability to lead cross-functional teams and manage multiple tasks, prioritizing effectively to meet deadlines
• Attention to detail and accuracy
• Proficiency in Excel and other data analysis tools
• Familiarity with Lean, Six Sigma, or other process improvement methodologies is an advantage
• Familiarity with ERP systems and costing software is an advantage

Skills

• Proficiency in Excel and data analysis tools
• Experience with Lean / Six Sigma methodologies
• Master data and costing principles knowledge; PLM super user experience
• Project management and cross-functional stakeholder alignment