Manufacturing Analytics Engineer - 1 Year Contract

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

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.