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

Qualifications

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: November 16, 2026 January 11/12, 2027 April 1, 2027 May 24/25,2027