Job Openings Data Analyst and Process Optimization Lead

About the job Data Analyst and Process Optimization Lead

Key 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, in efficiencies, 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 requirement 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 Conduct Ad Hoc Evaluations: Maintain accurate documentation of processes, changes, and outcomes, ensuring compliance with industry standards and company policies.


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
  • Ability to collaborate effectively with cross-functional teams and stakeholders
  • Strong project management skills with the ability to lead cross-functional teams
  • Ability to manage multiple tasks and prioritize 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