Data Analytics & Engineering INTERN

Responsibilities

• Assist in analyzing engineering and manufacturing data to identify trends, issues, and improvement opportunities
• Support process monitoring, optimization, and documentation activities
• Work with engineers on experiments, tests, and technical evaluations
• Help develop dashboards and reports for operational and process metrics
• Participate in problem-solving and root cause analysis activities
• Contribute to design of experiments (DOE) and statistical studies
• Support data cleaning, validation, and ETL-related tasks
• Prepare technical summaries and presentations of findings
• Collaborate with cross-functional teams on assigned projects
• This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum
• Currently pursuing a Bachelor's degree or has equivalent experience in any of the following majors or related programs: Computer Science
• Data Science
• Industrial Engineering
• Statistics
• Physics
• Mechanical Engineering / Mechatronics
• Materials Science
• Manufacturing Engineering
• Strong analytical and problem-solving skills
• Good written and verbal communication skills
• Ability to work with large datasets and technical information
• Detail-oriented with a structured and organized approach to tasks
• Able to work both independently and collaboratively in a team environment
• Technical Skills (Preferred - not all required)
• Basic knowledge of precision mechanics and manufacturing processes
• Familiarity with thin-film processes and contamination control concepts
• Understanding of metrology tools (e.g., AFM, profilometry) is a plus
• Exposure to:
• Design of Experiments (DOE)
• Statistical Process Control (SPC)
• Failure analysis methods
• Programming / Analytics Tools:
• Python or R
• SQL
• Data & Reporting Tools:
• Power BI or Tableau
• Data visualization techniques
• Fundamentals of:
• Statistical modeling
• Machine learning basics
• ETL processes
• What Interns Will Gain
• Hands-on experience with real engineering and data projects
• Exposure to advanced manufacturing and process technologies
• Mentorship from experienced engineers and technical leaders
• Practical experience with industry tools and analytics platforms
• Opportunity to present project results to stakeholders
• Important Reminders:
• We provide free medical examination.
• We do not collect any original requirements.
• We do not collect any fees at any stage of the hiring process.
• Notice To Candidates: Please be aware that WD 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 WD Ethics Helpline or email compliance@wdc.com .

Additional Information

Program: Internship Program Department: Engineering / Manufacturing / Process / Data Analytics (varies by team) Duration: 2-6 months (typical) Target Onboarding: August/September 2026 Role Overview We are seeking motivated and detail-oriented interns from Data Analytics and Engineering-related disciplines to join our technical teams. This internship provides hands-on exposure to real-world engineering, manufacturing, and data analytics projects. Interns will support process improvement, data analysis, and technical investigations while working closely with engineers and cross-functional partners. This role is ideal for students who want practical experience in advanced manufacturing, process engineering, and data-driven problem solving.

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