Analyst - Continuous Improvement Engineering

Department

Manufacturing Excellence

Shift Scheduling

Not Available

General Summary

Essential Duties and Responsibilities

• Analyze all operations data
• Develop KPI’s for all operations as required to drive operational excellence
• Analyze operational data to identify opportunities for improvement in line with operational excellence practices
• Interpreting data, analyzing results using statistical techniques
• Developing and implementing data analysis, data collection systems and other strategies that optimize statistical efficiency and quality
• Acquiring data from primary or secondary data sources and maintaining databases
• Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
• Identify trends and opportunities for growth through analysis of complex datasets
• Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
• Work directly with managers and users to gather requirements, provide status updates, and build relationships
• Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
• Identify trends and opportunities for growth through analysis of complex datasets
• Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
• Create best-practice reports based on data mining, analysis, and visualization
• Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data

Essential Duties and Responsibilities(Contd)

Additional Duties and Responsibilities

Knowledge, Skills and/or Abilities required

• Analytical thinker with strong problem-solving skills and a proactive, innovative mindset focused on long-term continuous improvement.
• Excellent math abilities and proficiency in data analysis/statistical methods, with experience in tools such as Python and SQL for data analysis.
• Familiarity with data visualization tools like Tableau or Power BI to transform complex data into actionable insights.
• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms such as AWS or Azure is highly beneficial.
• Excellent communication and collaboration skills to work effectively with diverse teams, manage multiple projects, and communicate complex data insights to stakeholders at all levels

Minimum Education Qualification (Education Degree)

Any preferred professional training

Professional Experience (Must haves)

Previous Experience/exposure Recommendations

Key Performance Indicators

• KPI’s development
• Data mining and analytic efficiency
• Opportunities identified
• Financial impact of opportunities
• Accuracy of predictive models and actionable insights provided to enhance manufacturing processes.
• Reduction in downtime and improved efficiency across production lines based on data-driven recommendations.
• Improvement in product quality metrics through advanced analytics and continuous monitoring.
• Successful collaboration with cross-functional teams to deliver impactful data insights that align with business objectives.
• Timeliness and accuracy of data reporting and dashboard maintenance for asset integrity performance.
• Improvement in asset utilization
• Reduction in manufacturing downtime within the first year.

Behavioural Competencies

Technical Competencies

Working Condition Requirement