data
Posted 12 hours agoEngineer, Data Analytics Engineering
United StatesOn-site
Requirements
- Company Description WD is building the infrastructure behind the AI-driven data economy.
- As AI scales, so does data.
- 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.
- Job Description The Early Career Talent (ECT) -- Data Analytics / Computer Science will join Western Digital's Head Backend Business Unit under the BEST Program.
- 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.
- Responsibilities: 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
- 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
- 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.
Contact
- Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request.
- Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com .
Additional details
- Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time.
- 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.
- This role sits within the Engineering organization and is designed to bridge the gap between manufacturing operations and data-driven decision-making.
- The role is based in the Philippines (PHO) and reports to the Head Backend Engineering organization. Key
- 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.
- WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process.
- 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.