Data Analytics & Engineering INTERN at Western Digital

Biñan, Laguna, Philippines -

Full Time

Start Date

Immediate

Expiry Date

13 Sep, 26

Salary

0.0

Posted On

15 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Process Optimization, Python, R, SQL, Power BI, Tableau, Design of Experiments, Statistical Process Control, ETL Processes, Root Cause Analysis, Statistical Modeling, Machine Learning, Data Visualization, Technical Documentation, Failure Analysis

Industry

Computer Hardware Manufacturing

Description

Company Description At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description 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. Key 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 Qualifications 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 Additional Information 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. WD 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. WD 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 [email protected] 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: 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 [email protected]. Business Function: Engineering Support Work Location: Biñan HICAP Office--LOC_HGST_PHL01

Responsibilities

Assist in analyzing engineering and manufacturing data to identify trends and support process optimization. Develop dashboards and reports while contributing to statistical studies and root cause analysis activities.