Be a domain expert in data usage availability and structure. Set up product performance tracking and reporting. Improve and enhance the database data pipeline and develop and enhance dashboards to visualize and provide insights. Provide analysis and insights of the semiconductor product with semiconductor product and test engineering teams to understand data needs and develop data delivery solutions. Work with infrastructure teams including database administrators and database developers to ensure the proper functioning of all data pipelines and the health of the data warehouse.
- Bachelors Degree plus 3 years of relevant experience
- (Degree in EE MSE ChemE Statistic Physics or related)
- Strong proficiency in large datasets processing extraction analysis and reporting
- Experience in yield analysis defect reduction and process improvement
- Proficiency in SQL database query and creating curated datasets
- Proficiency in Python programming language
- Strong proficiency in creating Tableau dashboards and workflows
- Proven track record of taking ownership and successfully delivering results
- Ability to learn new technologies and approaches
- Strong analytical and problem-solving skills
- Experience with Linux operating systems
- In-depth knowledge of the semiconductor process test and manufacturing flow
- Strong proficiency in statistical and machine learning analysis and model development within the high-tech manufacturing and test environment
- Experience in Yield Management System administration
- Experience with STDF (Standard Test Data Format) handling and analysis
- Experience with version control systems (Git) and software development best practices
- Background in Six Sigma or other process improvement methodologies
Be a domain expert in data usage availability and structure. Set up product performance tracking and reporting. Improve and enhance the database data pipeline and develop and enhance dashboards to visualize and provide insights. Provide analysis and insights of the semiconductor product with semico...
Be a domain expert in data usage availability and structure. Set up product performance tracking and reporting. Improve and enhance the database data pipeline and develop and enhance dashboards to visualize and provide insights. Provide analysis and insights of the semiconductor product with semiconductor product and test engineering teams to understand data needs and develop data delivery solutions. Work with infrastructure teams including database administrators and database developers to ensure the proper functioning of all data pipelines and the health of the data warehouse.
- Bachelors Degree plus 3 years of relevant experience
- (Degree in EE MSE ChemE Statistic Physics or related)
- Strong proficiency in large datasets processing extraction analysis and reporting
- Experience in yield analysis defect reduction and process improvement
- Proficiency in SQL database query and creating curated datasets
- Proficiency in Python programming language
- Strong proficiency in creating Tableau dashboards and workflows
- Proven track record of taking ownership and successfully delivering results
- Ability to learn new technologies and approaches
- Strong analytical and problem-solving skills
- Experience with Linux operating systems
- In-depth knowledge of the semiconductor process test and manufacturing flow
- Strong proficiency in statistical and machine learning analysis and model development within the high-tech manufacturing and test environment
- Experience in Yield Management System administration
- Experience with STDF (Standard Test Data Format) handling and analysis
- Experience with version control systems (Git) and software development best practices
- Background in Six Sigma or other process improvement methodologies
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