Senior Data Analyst - Manufacturing

About the role

The Senior Manufacturing Data Analyst is a key delivery role within ResMed's Manufacturing Excellence Program, analysing manufacturing data and building practical analytics solutions that support measurable operational and financial outcomes. The role works with manufacturing leaders, engineers, technicians, operators and data specialists to turn operational problems into analytical questions, insights, dashboards and decision-support tools, covering equipment, process, quality, labour and material-flow data.

Key responsibilities

• Define manufacturing problems, hypotheses, measures of success and data requirements with value stream owners, site teams and engineers.
• Analyse production, process, quality, downtime, cycle-time, labour, material-flow and cost data to find loss drivers, trends, constraints and improvement opportunities.
• Enable near-real-time visibility of part-level production, OEE, availability and quality losses.
• Apply data profiling, descriptive statistics, correlation, segmentation, root-cause analysis, statistical process control and time-series analysis.
• Develop, test and maintain dashboards, reports, analytical models and decision-support tools, with clear metric definitions and data-quality checks.
• Work with data engineers, solution architects, OT/IT teams and data scientists on data pipelines and integration.
• Support user acceptance testing, training and adoption, and embed solutions in manufacturing workflows.
• Communicate progress, findings and risks to manufacturing leaders and stakeholders, and coach teams on analytical capability.

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.
• 6+ years delivering complex, cross-functional analytics, automation or AI-enabled solutions in manufacturing or supply chain environments.
• Strong understanding of manufacturing processes, value streams and continuous improvement.
• Ability to assess solution feasibility, data readiness, integration and delivery risk with technical specialists.
• Experience in cross-functional agile or project delivery teams.

Required skills

• Manufacturing data environments such as ERP, MES, equipment or IoT data, historians or similar OT platforms.
• Preferred: Industry 4.0, smart manufacturing, predictive or prescriptive analytics, and Lean, Six Sigma or similar continuous-improvement programmes.