Engineering Analyst

Role: Engineering Analyst ( 1 years contract) - Extendable

Location: Ayer Rajah Crescent

Engineering Analyst (1-Year FTE) is responsible for driving manufacturing performance improvement through data analytics, process optimization, industrial engineering methodologies, operational analytics, and digitalization initiatives.

The position plays a key role in supporting factory performance management, enabling data-driven decision-making, standardizing manufacturing processes, and implementing continuous improvement initiatives.

Responsibilities:

• Analyze production, quality, yield, downtime, and operational performance data to identify gaps, root causes, and improvement opportunities.
• Lead or support continuous improvement initiatives to enhance productivity, process efficiency, product quality, and cost performance.
• Apply structured problem-solving methodologies to investigate operational issues and develop effective corrective and preventive actions.
• Implement, validate, and monitor process improvements to ensure measurable and sustainable performance gains.
• Establish and standardize best practices, operating procedures, and performance measurement methods across manufacturing operations.
• Conduct capacity analysis, workload assessments, line balancing studies, and resource utilization reviews to identify production constraints and improvement opportunities.
• Perform time studies, work measurement, and productivity assessments to establish performance baselines and identify opportunities for efficiency improvement.
• Evaluate manpower requirements, equipment utilization, and production workflows to optimize resource allocation and manufacturing capacity.
• Identify bottlenecks and constraints within production processes and recommend solutions to improve throughput and operational flow.
• Support production planning and capacity expansion initiatives through data-driven analysis and scenario evaluation.
• Develop, maintain, and enhance dashboards, key performance indicators (KPIs), and management reports to monitor manufacturing performance.
• Consolidate, analyze, and visualize operational data to provide actionable insights and support timely, data-driven decision-making.
• Utilize data analysis and visualization tools to identify performance trends, detect deviations, and track improvement results.
• Support the digitalization and automation of manufacturing reporting, data collection, and performance monitoring processes.

Requirements:

• Diploma or Bachelor's degree in Engineering, Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Electrical Engineering, or a related discipline.
• 2–4 years of relevant experience in a high-volume manufacturing environment, preferably involving manufacturing performance improvement, industrial engineering, process optimization, or operational analytics.
• Ability to structure dashboards and presentations to tell a clear data-driven story, highlighting performance trends, root causes, improvement opportunities, and recommended actions.
• Demonstrated understanding of manufacturing processes, engineering standards, project specifications, and continuous improvement practices.
• Experience in data analysis, KPI development, performance reporting, or manufacturing digitalization is preferred.
• Experience with data visualization and dashboarding tools, such as Microsoft Power BI and Grafana.
• Relevant certifications in Lean Manufacturing, Six Sigma, Industrial Engineering, or data analytics are an advantage.