Manufacturing Data Analyst: AI-Driven Insights for Ops

ResMed (Malaysia) Sdn Bhd (MY); Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

ResMed (Malaysia) Sdn Bhd (MY) is seeking a Manufacturing Data Analyst to drive analytics, dashboards and insights across manufacturing operations. You will work with data from production, process, quality, downtime, labour and material-flow to improve visibility of performance and enable measurable improvements.

The role partners with data science and engineering to apply descriptive, predictive and prescriptive analytics, building governance and standard work to support adoption across value

Qualifications

• Bachelor’s degree in Engineering, Manufacturing, Supply Chain Management, Computer Science, Data Science, Information Systems, Business or a related field; advanced degree preferred.
• 3+ years developing complex, cross-functional delivery of analytics, automation or AI-enabled solutions in manufacturing or supply chain environments.
• Understanding of manufacturing processes, value streams and operational improvement opportunities.
• Sufficient technical depth to assess solution feasibility, data readiness, systems integration, scalability and delivery risk, and to work effectively with technical specialists.
• Experience with manufacturing data and technology environments such as ERP, MES, equipment or IoT data, historians or similar operational technology platforms.
• Experience working in cross-functional agile or project delivery teams and supporting solutions through requirements, testing, deployment and adoption.

Responsibilities

• Execute analysis against agreed business questions, measures of success, data requirements and delivery priorities.
• Extract, prepare, combine and validate production, process, quality, downtime, cycle-time, labour, material-flow and cost data using approved sources and methods.
• Produce recurring and ad hoc analysis to identify loss drivers, trends, constraints, process variation and improvement opportunities.
• Apply established analytical methods, including data profiling, descriptive statistics, segmentation, root-cause analysis, statistical process control and time-series analysis.
• Build and maintain assigned dashboards, reports and visualisations using agreed metric definitions, calculation logic and design standards.
• Complete data reconciliation, quality checks and test evidence; document assumptions, exceptions and limitations before outputs are released.
• Present findings clearly and factually, distinguishing evidence from assumptions and escalating results that require deeper investigation or specialist review.
• Capture user feedback, monitor assigned solution usage and identify data, process or usability barriers to sustained adoption.
• Implement agreed improvements within the solution scope and elevate broader process, role or capability changes to the delivery lead.
• Create and maintain user guidance, training materials and standard work to support consistent use of deployed solutions.
• Contribute reusable analysis, documentation and lessons learned to support deployment of proven solutions in other value streams or sites.
• Participate in working sessions that connect operational knowledge with data evidence and translate agreed requirements into practical analytical outputs.
• Plan and complete assigned analysis, dashboard, testing and release-readiness activities within cross-functional delivery squads.
• Provide clear updates on assigned deliverables, data limitations, dependencies and risks to the delivery lead and relevant stakeholders.
• Communicate issues early, coordinate assigned actions and escalates decisions involving significant ambiguity, technical complexity or cross-site impact.

Education

Bachelor’s degree in Engineering, Manufacturing, Supply Chain Management, Computer Science, Data Science, Information Systems, Business or a related field; advanced degree preferred.

Job description

ResMed (Malaysia) Sdn Bhd (MY) is seeking a Manufacturing Data Analyst to drive analytics, dashboards and insights across manufacturing operations. You will work with data from production, process, quality, downtime, labour and material-flow to improve visibility of performance and enable measurable improvements.

The role partners with data science and engineering to apply descriptive, predictive and prescriptive analytics, building governance and standard work to support adoption across value