Engineer, Data Analytics Engineering

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. 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. 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 d