Manufacturing Analytics & Insights Specialist

ResMed; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

ResMed in Singapore is seeking a Manufacturing Data Analyst to drive analytics, reporting and dashboards that improve visibility of manufacturing performance, and support operational and financial outcomes.

You will work across equipment, process, quality, labour and material-flow data, partnering with data science and engineering to enable predictive and prescriptive insights, while ensuring adoption and continuous improvement across value streams.

Qualifications

• Bachelor’s degree in Engineering, Manufacturing, or related field; advanced degree preferred.
• 3+ years delivering analytics, automation or AI-enabled solutions in manufacturing or supply chain.
• Experience with manufacturing processes, value streams and continuous improvement.
• Technical depth to assess feasibility, data readiness and systems integration.
• Experience with ERP, MES, IoT data and OT platforms.
• Experience in cross-functional agile/project delivery teams.

Responsibilities

• Execute analysis to answer business questions and priorities.
• Extract, prepare and validate production, quality, downtime, labor, and cost data.
• Build dashboards and visualisations with defined metrics.
• Present findings clearly and escalate when deeper review needed.
• Capture user feedback and support adoption of solutions.
• Create user guidance and training materials.
• Collaborate with data science and engineering for predictive analytics.
• Coordinate delivery across cross-functional squads.

Skills

Analytics delivery

Cross-functional collaboration

Data analysis and dashboards

Statistical methods

Communication of insights

Education

Bachelor’s degree in Engineering / Manufacturing / SCM / CS / DS / IS / Business

Advanced degree preferred

Tools

ERP systems

MES systems

IoT data platforms

Job description

ResMed in Singapore is seeking a Manufacturing Data Analyst to drive analytics, reporting and dashboards that improve visibility of manufacturing performance, and support operational and financial outcomes.

You will work across equipment, process, quality, labour and material-flow data, partnering with data science and engineering to enable predictive and prescriptive insights, while ensuring adoption and continuous improvement across value streams.