Engineering Analyst

U3 INFOTECH PTE. LTD.; Singapore; On-site; SGD 55,000 - 90,000; Full time

Job summary

U3 INFOTECH PTE. LTD. is seeking an Engineering Analyst on a 1-year contract in Singapore to drive manufacturing performance through data analytics, process optimization, and digitalization initiatives.

You will build dashboards, monitor KPIs, and support capacity planning while standardizing processes and enabling data-driven decision-making across the factory.

Candidates should have an engineering degree and 2–4 years in high-volume manufacturing with Power BI or Grafana experience.

Qualifications

• Bachelor's or diploma in Engineering or related discipline.
• 2–4 years in high-volume manufacturing with performance improvement focus.
• Ability to build clear data-driven dashboards and tell stories.
• Experience with Power BI or Grafana is preferred.

Responsibilities

• Analyze production, quality, yield, downtime, and performance data.
• Lead or support continuous improvement initiatives.
• Apply structured problem-solving to root causes and actions.
• Develop and monitor dashboards and KPIs for manufacturing performance.
• Conduct capacity analysis and line balancing studies.
• Support production planning and capacity expansion through data.
• Standardize procedures and performance measurement methods.

Skills

Data analytics

Dashboard storytelling

Performance improvement

Industrial engineering knowledge

Education

Diploma or Bachelor's degree in Engineering or related discipline

Industrial Engineering/ Manufacturing Engineering background

Tools

Power BI

Grafana

Job description

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.
• Utilise 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.