Engineer, Data Analytics Engineering

Western Digital; Laguna; On-site; PHP 180,000 - 300,000; Full time

Benefits offered by this job

Free medical examination

Job summary

Western Digital is seeking an Early Career Talent in Data Analytics/Computer Science in the Philippines (PHO) to join the BEST Program. The role will bridge manufacturing operations and data-driven decision making within the Head Backend BU.

You will work with engineering and operations teams to collect, process, and visualize data for KPIs such as yield and throughput. The position targets fresh graduates (or up to 1 year of experience) with programming skills in Python/SQL and experience in

Qualifications

• Bachelor's degree with strong programming/analytics specialization.
• Fresh graduate or up to 1 year of work experience.
• Proficiency in Python, SQL, or R.
• Experience with data visualization tools (Power BI, Tableau).
• Strong quantitative and analytical background.

Responsibilities

• Support development of operational dashboards and data visualization for manufacturing KPIs.
• Assist in data collection, cleaning and analysis of process data.
• Build and maintain reports using Python, SQL and Power BI.
• Collaborate with engineers to translate data insights into process improvements.
• Participate in BEST Program milestones and applied analytics projects.
• Automate manual reporting processes across engineering functions.

Skills

Python

SQL

Power BI

Tableau

Data wrangling

English communication

Education

Bachelor's degree in Computer Science, Data Science, IT, Statistics, or Engineering

Tools

SQL Server

MySQL

Job description

Company Description

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 peoplewho want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Job Description

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:

• 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

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.

Qualifications

REQUIRED:

• 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

PREFERRED:

• 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

SKILLS:

• 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

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.

Additional Information

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[emailprotected]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 toWD Ethics Helplineor email [emailprotected].