Manufacturing Data Analyst

About the role

The Manufacturing Data Analyst plays a key role within ResMed's Manufacturing Excellence Program. The role runs analysis, reporting and dashboard activities that improve visibility of manufacturing performance and support measurable operational and financial outcomes, working across equipment, process, quality, labour and material-flow data alongside data science and engineering specialists.

Key responsibilities

• Analyse agreed business questions, success measures and data requirements, extracting and validating production, process, quality, downtime, cycle-time, labour, material-flow and cost data.
• Produce recurring and ad hoc analysis to find loss drivers, trends, constraints, process variation and improvement opportunities, using methods such as data profiling, descriptive statistics, segmentation, root-cause analysis, statistical process control and time-series analysis.
• Build and maintain dashboards, reports and visualisations, and carry out data reconciliation, quality checks and documentation of assumptions and limitations.
• Capture user feedback, monitor solution usage, implement improvements and create user guidance and training materials.
• Take part in working sessions, plan and deliver analysis and dashboards within cross-functional squads, and report progress, risks and escalations to the delivery lead.

Required profile

• 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 delivering complex, cross-functional analytics, automation or AI-enabled solutions in manufacturing or supply chain environments.
• Understanding of manufacturing processes, value streams and operational improvement opportunities.
• Ability to assess solution feasibility, data readiness, systems integration, scalability and delivery risk, and to work with technical specialists.
• Experience in cross-functional agile or project delivery teams, covering requirements, testing, deployment and adoption.

Required skills

• Experience with manufacturing data environments such as ERP, MES, equipment or IoT data, historians or similar OT platforms.
• Preferred: Industry 4.0, smart manufacturing or large-scale transformation experience, and exposure to predictive or prescriptive analytics and AI/data science solutions.
• Preferred: experience supporting manufacturing excellence, Lean, Six Sigma or similar continuous-improvement programmes.