Engineer, Data Analyst Equipment Engineering

ESSENTIAL DUTIES AND RESPONSIBILITIES

• 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. 

REQUIRED

• Bachelor’s Degree or higher in Data Science, Engineering, or a related field.
• Fresh graduates are encouraged to apply.
  (Candidates with relevant internship or project experience will have an added advantage.)
• Detail and action oriented, self-started, ability to work independently and to deliver high quality solutions.
• Ability to work effectively with multi-functional team member, with good communication skills.

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.

Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

NOTICE TO CANDIDATES: Western Digital has received reports of scams where a payment is requested on Western Digital’s behalf as a condition for receiving an offer of employment. Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digitals Ethics Helpline or email compliance@wdc.com