Senior Manufacturing Analytics Leader

ResMed (UK); Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

ResMed (UK) is seeking a Senior Manufacturing Data Analyst to translate operational data into actionable analytics across manufacturing value streams. You will collaborate with site leaders, engineers and frontline users to define questions, gather data and deliver practical dashboards and decision-support tools.

The role requires hands-on analytics, strong manufacturing knowledge and ability to communicate findings clearly to both operational and technical audiences, supporting predictive and

Qualifications

• Bachelor's degree in Engineering or related field; advanced degree preferred.
• 6+ years delivering analytics, automation or AI-enabled solutions in manufacturing or supply chain.
• Strong understanding of manufacturing value streams and improvement opportunities.
• Experience with ERP, MES, and OT data environments.
• Experience in cross-functional agile/project delivery teams.

Responsibilities

• Partner with value stream owners to define problems, questions and data needs.
• Analyze production, process, quality, downtime, cycle-time, labour data for loss drivers.
• Enable real-time visibility with part-level data, OEE, availability and quality loss diagnostics.
• Develop dashboards, reports and analytical models embedded in workflows.
• Work with data engineers, solution architects and data scientists on data pipelines.
• Support UAT, release readiness, adoption and feedback-driven improvements.

Skills

Analytics delivery

Automation

AI-enabled solutions

Manufacturing knowledge

Cross-functional teams

Education

Bachelor's degree in Engineering, Manufacturing, Supply Chain Management, Computer Science, Data Science, Information Systems, Business or related field

Advanced degree in Engineering, Data Science, Analytics, Manufacturing, Supply Chain or related discipline

Tools

ERP

MES

IoT data platforms

Job description

ResMed (UK) is seeking a Senior Manufacturing Data Analyst to translate operational data into actionable analytics across manufacturing value streams. You will collaborate with site leaders, engineers and frontline users to define questions, gather data and deliver practical dashboards and decision-support tools.

The role requires hands-on analytics, strong manufacturing knowledge and ability to communicate findings clearly to both operational and technical audiences, supporting predictive and