Manufacturing Data Insights Lead

ResMed Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ResMed Inc. is seeking a Senior Manufacturing Data Analyst to translate manufacturing data into actionable insights and practical analytics solutions.

The role partners with leaders, engineers and data specialists to drive measurable operational and financial outcomes across value streams. Responsibilities include building dashboards, conducting time-series analyses and enabling near-real-time performance visibility.

Qualifications

• Bachelor’s degree in Engineering, Manufacturing, Supply Chain Management, Computer Science, Data Science, Information Systems, Business or related field; advanced degree preferred.
• 6+ years delivering analytics, automation or AI-enabled solutions in manufacturing or supply chain contexts.
• Strong understanding of manufacturing processes, value streams and continuous-improvement opportunities.

Responsibilities

• Collaborate with value stream owners to define problems, hypotheses, and data requirements.
• Develop dashboards, reports, and analytical models to support decision-making.
• Provide near-real-time manufacturing visibility including OEE diagnostics.
• Work with data engineers and OT/IT teams to define data pipelines and integration needs.
• Drive adoption, training and iterative improvement of analytics solutions.

Skills

Data analytics

Manufacturing data

Cross-functional collaboration

Continuous improvement

Statistical methods

Education

Bachelor’s degree in Engineering

Bachelor’s degree in Manufacturing

Bachelor’s degree in Supply Chain Management

Bachelor’s degree in Computer Science

Data Science / Analytics advanced degree (preferred)

Tools

ERP systems

MES systems

IoT data platforms

Industrial historians

Job description

ResMed Inc. is seeking a Senior Manufacturing Data Analyst to translate manufacturing data into actionable insights and practical analytics solutions.

The role partners with leaders, engineers and data specialists to drive measurable operational and financial outcomes across value streams. Responsibilities include building dashboards, conducting time-series analyses and enabling near-real-time performance visibility.