Broad Functions:
- Factory Product Performance (FPP) Report – work within department and with respective functional departments including Product Engineer and Quality Engineer for report compilation
- Develop, automate, deploy, provide training, maintain and support automated visualization systems for OCCQ department
- Improve overall Quality tasks/monitoring by apply Data Analytics & ML skill
- Provide data extraction and data analysis support to department on OCCQ data
- Support and maintain OCCQ data system
- Generate Supplier Quality Regular and Adhoc reports.
ESSENTIAL DUTIES AND RESPONSIBILITIES: job is responsible for delivering the organization outcome as stated:
- Interacts with OCCQ and service teams to identify questions and issues for data analysis and experiments.
- Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata source.
- Interprets and communicates insights and findings from analysis and experiments to OCCQ owner.
- Generates ad hoc reports and regular datasets or report information for OCCQ-users using system tools and database or data warehouse queries and scripts. Integrates data from multiple sources to produce requested or required data elements.
- Quality Data Analytics & Related Machine Learning Projects
- Improve overall Quality tasks/monitoring by apply Data Analytics & ML skill.
- Visualization automation development and maintenance for OCCQ
- Consolidate requirements
- Develop, automate, deploy, provide training, maintain and support visualization systems for OCCQ department
- Data ingestion onto Database, AMAZON REDSHIFT/ TERADATA etc.
- Integrates data from multiple sources to produce requested or required data elements. Programs and maintains report forms and formats, information dashboards, data generators, canned reports and other end-user information portals or resources.
- Customer Data Package (Factory Product Performance – FPP)
- Work within department and with respective functional departments to compile factory product performance data packages for customers
- To ensure the deadline is met
- Making sure data packages are compiled with necessary information (data and charts) for functional team data input.
- Support CFEs and Factory team on data analysis request on OCCQ Data
- Provide support to CFEs and factory quality data query and data analysis requests
- Support in the areas of running query, analyze data and provide recommendation base on the data analysis objective
- System support and maintenance
- Identify data integrity issues
- Work with owners of source systems to fix root cause of data integrity issues
- Maintaining OCCQ Data and System Team shared folder and website
- Maintain OCCQ server and shared folders
- Structure department server and shared folder for easy information access
- Structure department shared folders and maintain information security
- Supplier Quality Analysis and Reporting
- Generate regular and adhoc reports
- Support in the areas of running query, analyze data and provide recommendation base on the data analysis objective
REQUIRED:
- Bachelor or Master’s Degree, in Computer Science/Data Science/Information Technology/Applied Mathematics, Statistic or related field.
- Minimum 12 years working experience, preferably with statistic background and/or 10 years working experience in data science, data query/analysis and Machine Learning Projects.
- Must possess strong hands-on expertise in developing database and message-oriented applications.
- Data storage industry is beneficial – business environment and challenges, products, competitors, and suppliers.
- Quality Management System
- Responsible for data import, export, and transformation applications and processes
- Creates clear documentation of operating procedures, database object layout, work flow diagrams and specifications for developed databases.
- Experience and expertise in any ML projects related and a data warehousing such as TERADATA, HAWQ, HIVE, IMPALA and HBASE or high-volume manufacturing environment or experience on BI tool (Spotfire or Tableau or equivalent), data ingestion tool (Alteryx or equivalent), analytics tools (JMP and Minitab or equivalent) MYSQL, MSSQL, Python, SQL.
- Experience using Large Language Models and identifying ways to incorporate them into new areas and applications.
- Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch
PREFERRED:
- Data storage industry is beneficial – business environment and challenges, products, competitors and suppliers.
- Flexible and adaptable, Service-minded
- Proactive, accountable and passionate about driving results
- Ability to troubleshoot and analyze complex problems.
- Ability to multi-task and meet deadlines
SKILLS:
- Good interpersonal and communication skill.
- Familiar with MYSQL, MSSQL, or other relational database design
- Familiar with Python, SQL, ML, Data Analytics tools
- Experience on BI tool (Spotfire or Tableau or equivalent), data ingestion tool (Alteryx or equivalent), analytics tools (JMP and Minitab or equivalent) will be added advantage.
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.
#LI-SW1
