
Fresh Grads ONLY - July Onwards Intake] - Engineer, Data Analyst Equipment Engineering
- Bayan Lepas, Pulau Pinang
- Training
- Full-time
- Collect, clean, and analyze large sets of equipment data (e.g., vacuum pressure logs, PM intervals, chamber parameters, uptime/downtime logs).
- Develop dashboards and visualizations (Power BI, Tableau, etc.) for monitoring KPIs such as OEE (Overall Equipment Efficiency), MTBF (Mean Time Between Failures), PM Compliance and Chamber Performance.
- Detect anomalies and trends that may indicate impending machine failures or deviations from process and yield specifications.
- Build predictive models for failure forecasting or maintenance scheduling using machine learning/statistical techniques.
- Perform root cause analysis using data-driven approaches and support improvement projects.
- Develop automated reporting scripts (e.g., using Python, SQL) to streamline routine tasks.
- Assist in integration of smart factory tools (IoT sensors, real-time alerts, MES/SPC systems).
- Documents (FMEA/Training material /SOP/WI) generation ,update and maintenance.
- Lead KPI projects on machine performance improvement , cost reduction, yield, quality, capacity and productivity improvements.
- Work with Process, Yield and R&D on new material and package development for machine related items.
- Machine/tooling buy-off and standardization.
- Support other function teams for key projects.
- Bachelor's Degree or higher in Data Science, Engineering, or a related field.
- Fresh graduates are encouraged to apply.
- Ability to work effectively with multi-functional team member, with good communication skills.
- Machine/ mechanical knowledge in design and optimization.
- Expertized in data analysis, and problem solving
- Be good at QC skill, such as 7QC tools, MSA, SPC, 8D report, DOE etc.
- Familiar with reporting/data analysis software.(PPT, excel, JMP, AUTOCAD…)
- Good verbal and written in English.
- Good communication and collaboration skills.