Intern - Data Analytics

Job description

The Data Analytics / Computer Science Intern will join Western Digital's Head Backend Business Unit for a structured 3-6 month internship at the Philippines site (PHO). This role sits within the Engineering organization and is designed to introduce data-savvy students to the world of manufacturing analytics in a precision technology environment. The intern will support analytics and digitalization initiatives within slider processing and HGA assembly operations, helping build tools, reports, and visualizations that support engineering and operations decision-making. High-performing interns will be considered for conversion to the ECT -- under the BEST Program. Key responsibilities include: Supporting development of operational dashboards and engineering reports Assisting in data extraction, cleaning, and exploratory analysis of manufacturing datasets Writing scripts or queries to automate manual reporting tasks (Python, SQL, Power BI) Collaborating with engineers to understand data needs and translate them into analytical outputs Completing a defined analytics internship project with a final presentation Participating in structured learning and check-in sessions throughout the program REQUIRED: Currently pursuing a Bachelor’s degree in Computer Science, Data Science, Information Technology, Statistics, Engineering with a strong analytics/programming focus, or a related field. Minimum 3rd-year standing. Proficiency in Python and/or SQL. Demonstrated experience in data analysis or data visualization through academic projects, competitions, personal projects, or similar experience. Available for a 3–6 month internship. The internship is intended for students whose academic program requires or allows an internship for academic credit. PREFERRED : Coursework in machine learning, data mining, or statistical modeling. Portfolio of data-related projects, such as GitHub, Kaggle, or similar platforms. Experience with Power BI, Tableau, or equivalent data visualization tools. Exposure to manufacturing, operations, or engineering data is a plus but not required. SKILLS Hands-on experience with Python and/or SQL programming. Data visualization and dashboard development skills. Analytical curiosity and the ability to ask questions and explore data independently. Good communication skills, with the ability to explain data insights clearly and effectively. Collaborative, proactive, and willing-to-learn mindset. Strong written and verbal English communication skills. TARGET ONBOARDING DATES Candidates should be available to start their internship on one of the following target dates: September 14–15, 2026 November 16, 2026 January 11–12, 2027 April 1, 2027 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 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 . WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data.