Method Engineer

Start date: Immediate availability.

Job Type: Contract Interview: Phone/Skype The objective of the project is to establish robust performance tracking for the 3 robotic stations, identify recurring operational issues (ALEAs), and drive data-based actions to improve efficiency and reduce production.

Key Responsibilities: Monitor and analyze operational performance metrics, process cycle times, lead times, and productivity indicators against defined targets. - Collect, record, and analyze operational disruptions, incidents, exceptions, and performance deviations. - Track issue resolution activities and analyze resolution effectiveness and turnaround times. - Identify recurring trends, patterns, bottlenecks, and root causes impacting operational performance. - Develop, implement, and track corrective and preventive action plans to improve process reliability and efficiency. - Measure and evaluate the effectiveness of improvement initiatives through performance dashboards and reporting tools. - Escalate risks, issues, and unresolved concerns to relevant stakeholders as required. - Analyze manual and automated process activities to identify opportunities for cycle time reduction and productivity improvement. - Provide recommendations to optimize workflows, reduce inefficiencies, and enhance operational performance. - Collaborate with cross-functional teams to support continuous improvement and operational excellence initiatives. - Develop and maintain performance dashboards and reports to communicate key performance indicators (KPIs) and project progress. Key Performance Indicators (KPIs): -Process cycle time and throughput performance -Operational lead time tracking -Manual activity and productivity analysis -Incident/disruption occurrence and resolution metrics -Corrective and preventive action plan progress -Process efficiency, utilization, and performance trends -Continuous improvement initiative effectiveness and closure rates Mandatory Skills: Minimum 3-5 years of experience in data analytics, manufacturing operations, or industrial performance analysis. Strong knowledge of: Excel Data visualization tools Statistical analysis Strong problem-solving and stakeholder management skills. An optional requirement to have a past experience working with robotic or automated manufacturing environments.

Skills: Excel, Data Visualization, Statistical Analysis Plans, Data Analytics, Robotics