Senior Engineer, Data Analytics at Western Digital

Kuching, Sarawak, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistics, Engineering Systems, Data Science, Machine Learning, Signal Processing, Python, R, MATLAB, Excel, SQL, Tableau, Power BI, Electrical Systems, Mechanical Systems, Problem Solving, Communication

Industry

Computer Hardware Manufacturing

Description

Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon. We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future. Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too. We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands. Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data. Job Description The Senior Engineer, Data Analytics plays a crucial role in leveraging advanced analytics to drive engineering excellence and innovation. This position requires a strategic mindset and technical expertise to transform complex data into actionable insights. Conduct comprehensive analyses of problem statements and business opportunities to identify and implement Fourth Industrial Revolution (4IR) solutions, ensuring alignment with organizational objectives. Rigorously collect, cleanse, and analyze data from engineering systems, including sensors, machinery, and control systems, to uncover critical trends, anomalies, and areas for operational improvement. Develop and maintain sophisticated dashboards, visualizations, and reports to effectively communicate data-driven insights to engineering teams and executive leadership, facilitating informed decision-making. Contribute to the development and refinement of advanced data models designed to predict system behavior, optimize performance metrics, and minimize downtime across engineering operations. Foster cross-functional collaboration to seamlessly integrate data analytics methodologies into key engineering workflows, encompassing automation, manufacturing processes, and product development cycles. Spearhead the design and execution of rigorous experiments to validate hypotheses and enhance system efficiency through data-driven methodologies, ensuring scientific rigor and statistical validity. Continuously evaluate and implement emerging tools and techniques in the field of data analytics to drive innovation and maintain a competitive edge in engineering processes. Qualifications Master in Mechatronic, Computer Engineering, Electronics and Electrical Engineering or Data Science. Strong academic background in data analysis, statistics, or engineering systems (coursework or projects in data science, machine learning, or signal processing is a plus). Proficiency with data analysis tools such as Python (e.g., Pandas, NumPy), R, MATLAB, or Excel; familiarity with SQL or visualization tools (e.g., Tableau, Power BI) is an advantage. Basic understanding of electrical or mechanical systems, such as circuits, sensors, or machinery, and how they generate data. Analytical mindset with a curiosity for uncovering insights from complex datasets. Strong problem-solving skills and eagerness to learn new technologies and methods. Effective communication skills to present findings to technical and non-technical audiences. Additional Information Western Digital 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. Western Digital 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 [email protected] 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 Western Digital 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 to Western Digital Ethics Helpline or email [email protected].

Responsibilities

The Senior Engineer, Data Analytics is responsible for leveraging advanced analytics to drive engineering excellence and innovation. This includes conducting analyses of problem statements, collecting and analyzing data, and developing dashboards to communicate insights.