Manufacturing Analytics Data Engineer

Manufacturing Analytics Data Engineer Location Fremont, CA : Company Description

The future. It's on you. You & Western Digital.

We've been storing the world's data for more than 50 years. Once, it was the most important thing we could do for data. Now we're helping the world capture, preserve, access and transform data in a way only we can.

The most game-changing companies, consumers, professionals, and governments come to us for the technologies and solutions they need to capture, preserve, access, and transform their data.

But we can't do it alone. Today's exceptional data challenges require your exceptional skills. It's You & Us. Together, we're the next big thing in data. Western Digital® data-centric solutions are found under the G-Technology™, HGST, SanDisk®, Tegile™, Upthere™, and WD® brands.

• Work with manufacturing and engineering teams to analyze production operations data, understand daily KPIs, document daily manufacturing reports.
• Create business requirement documents for data provisioning team and validate data provisioned to meet end user expectations.
• As a Manufacturing Analytics Engineer, you will be providing technical skills to connect to data sources, help build business requirements for data provisioning team to develop solutions that optimize production demand planning and scheduling.
• Team members are embedded with the production and materials control teams and expected to develop a deep understanding of the business processes.
• The Manufacturing Analytics Data Engineer will validate data sources, clarify and translate business requests into business requirement documents to work with data provisioning team to validate, test and develop operations specific visualization.
• Manufacturing Analytics Data Engineers must be able to identify relevant factors that impact manufacturing processes, inventory control policies, production scheduling, and materials and maintenance management.
• Excellent communication and project management skills are required to lead discussions with a diverse group of engineers and operations personal. You are expected to ensure solutions are aligned with business strategies and that technology investments are profitable.
• You will work in a fast-paced environment that requires the ability to learn quickly and understand complex physical and mechanical systems. You will need to blur traditional boundaries between engineering, information systems, software technology, and project management in order to deliver timely solutions.
• Above all you must be passionate about applying your engineering and programming skills and desire to constantly seek manufacturing excellence.
• 24x7 support for wafer manufacturing critical reports to enable leadership team to take best tactical decisions to meet key operational targets.
• Need to be hands on and in person (no Remote employee) and support Camstar MES project.

Qualifications

REQUIRED:

• BS degree in Industrial Engineering and/or Computer Science (BS CS), Software Engineering or related field
• General understanding of Semiconductor and Fabrication processes, CMP process experience/knowledge is a bonus.
• Experience with Statistical Analysis of Cycle Time, Labor Productivity and Equipment Utilization.
• Proficiency with advanced analytics platforms (Spotfire, Tableau, JMP, SAS Visual Analytics).
• Proficiency with relational databases (data modeling, table design, installation and configuration).
• Driven to satisfy the customer, collaborative, embraces diversity, adapts easily, likes to train others and share knowledge.

PREFERRED:

• Familiar with project management methodology, Agile, Scrum, Kanban and LEAN practices.
• Advanced proficiency in programming languages (SAS, Java, PHP, and Python) and Excel Macros.
• Six sigma certified or training is a bonus.

SKILLS:

• Programming language background (C#, Java, Python, etc.)
• Relational data base knowledge (SQL, ODBC, JDBC, DB2, MSSQL, MySQL, Oracle, Data Virtualization)
• Analytics platform experience (SpotFire, Tableau, SAS, etc.)
• Data mining knowledge (requirements, data, modeling, validation, advance SQL server for data analysis)
• Strong written and verbal English communication skills especially in the areas of procedural documentation, knowledgebase articles and technical presentations.

Additional Information

Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster.

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.

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