Engineer, Data Analytics Engineering

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.

The Early Career Talent (ECT) -- Data Analytics / Computer Science will join Western Digital's Head Backend Business Unit under the BEST Program. This role sits within the Engineering organization and is designed to bridge the gap between manufacturing operations and data-driven decision-making.

As the Head Backend BU operates in a high-precision, data-intensive manufacturing environment (slider processing and HGA assembly), the ability to collect, process, visualize, and interpret engineering data is increasingly critical to maintaining competitiveness and operational excellence.

The ECT will support analytics initiatives, dashboard development, and process data interpretation alongside engineering and operations teams. The role is based in the Philippines (PHO) and reports to the Head Backend Engineering organization.

Key responsibilities include

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 foundational training through a structured onboarding, mentorship, and development curriculum.

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.

Responsibilities

Supporting development of operational dashboards and data visualization tools for manufacturing KPIs (yield, throughput, defect rates); Assisting in data collection, cleaning, and analysis of process engineering data; Building and maintaining reports using tools such as Python, SQL, Power BI, or equivalent; Collaborating with engineers to translate data insights into actionable process improvements; Participating in all BEST Program milestones including IDP reviews and Phase 2 applied analytics projects; Contributing to automation of manual reporting processes across engineering functions

Requirements

Bachelor's degree in Computer Science, Data Science, Information Technology, Statistics, or Engineering with a strong programming/analytics specialization; Fresh graduate or maximum 1 year of work experience; Demonstrated proficiency in at least one programming language (Python, R, SQL); Experience with data visualization (Power BI, Tableau, matplotlib, or similar); Strong quantitative and analytical academic background; Strong programming skills (Python and/or SQL minimum); Data wrangling, cleaning, and exploratory data analysis; Dashboard and visualization development; Analytical storytelling -- ability to translate data into business-relevant insights; Collaborative and curious mindset, comfortable working in cross-functional engineering teams; Good communication skills -- able to present findings clearly to non-technical stakeholders; Strong written and verbal English communication

Nice to have

Coursework or project work in machine learning, statistical modeling, or process analytics; Exposure to manufacturing data, IoT sensor data, or time-series analysis; Knowledge of database management (SQL Server, MySQL, or similar); Capstone, thesis, or competition experience in data analytics or AI/ML; Basic understanding of engineering or manufacturing concepts