Manufacturing Data Analytics & Insights Lead

Medifox DAN GmbH; Singapore; Presencial; SGD 60.000 - 90.000; Jornada completa

Descripción de la vacante

ResMed is seeking a Manufacturing Data Analyst to strengthen the Manufacturing Excellence Program. The role executes analysis, reporting and dashboards to improve visibility of performance and drive measurable outcomes.

It spans data from production, quality, downtime and material flow and partners with data science and engineering specialists. Responsibilities include building dashboards, validating data, and communicating findings to both operational and technical audiences to enable informed

Formación

• Bachelor's degree in Engineering, Manufacturing, or related field; advanced degree preferred.
• 3+ years delivering analytics in manufacturing or supply chain.
• Experience with ERP, MES, IO data and OT platforms.
• Experience in cross-functional Agile/project teams.
• Ability to assess data readiness, system integration, and delivery risk.
• Strong communication to operational and technical audiences.

Responsabilidades

• Execute analysis to answer business questions and priorities.
• Extract and validate production, quality, downtime, and cost data.
• Produce recurring and ad hoc analyses to identify loss drivers and trends.
• Build and maintain dashboards and reports with defined metrics.
• Present findings clearly and escalate where needed.
• Capture feedback and drive adoption of analytics solutions.
• Create user guidance and standard work.
• Collaborate with cross-functional squads on delivery.

Conocimientos

Manufacturing analytics

Cross-functional teamwork

Agile/project delivery

Data storytelling

Educación

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

Herramientas

ERP systems

MES

IoT data

Data integration

Descripción del empleo

ResMed is seeking a Manufacturing Data Analyst to strengthen the Manufacturing Excellence Program. The role executes analysis, reporting and dashboards to improve visibility of performance and drive measurable outcomes.

It spans data from production, quality, downtime and material flow and partners with data science and engineering specialists. Responsibilities include building dashboards, validating data, and communicating findings to both operational and technical audiences to enable informed