Engineering Analyst (Manufacturing)

People Profilers Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

People Profilers Pte Ltd is seeking a data-driven Manufacturing Analytics Specialist to analyze production data, drive continuous improvement, and establish standard performance measures in a high-volume manufacturing setting.

You will develop dashboards, perform time studies, and support capacity planning to optimize throughput and efficiency. The role requires 2–4 years of relevant experience and a strong background in data visualization tools.

Qualifications

• Diploma or Bachelor's degree in Engineering, Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Electrical Engineering, or 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.

Responsibilities

• Analyze production, quality, yield, downtime, and performance data to identify gaps 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 issues and develop corrective actions.
• Implement, validate, and monitor process improvements for measurable performance gains.
• Establish and standardize best practices, procedures, and performance measurement methods.
• Conduct capacity analyses, workload assessments, line balancing, and resource utilization reviews.

Skills

Data analysis

KPI reporting

Dashboards

Power BI

Grafana

Education

Bachelor's degree in Engineering

Tools

Power BI

Grafana

Job description

Working Arrangement: 1 Yr contract with full benefits

Key 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

Key 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
• JOB-01439

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.