Apple Silicon is looking for an individual who will deliver data-driven insights to develop the next Apple products. We are looking for an individual to help us create and improve our data infrastructure, including setting up the data pipelines, querying and delivering the curated datasets to the engineering teams, and developing dashboards to visualize the data. In this role, you will provide insight by providing product performance reports and statistical & machine learning analysis and models.
Description
- Be a domain expert in the data usage, availability, and structure.
- Setup the product performance tracking and reporting.
- Develop and enhance dashboards to visualize and provide insights.
- Improve and enhance database and data pipeline.
- Provide analysis and insight of the semiconductor product performance.
- Collaborate with semiconductor product and test engineering teams to understand data needs and develop data delivery solutions.
- Work with infrastructure teams, including DBA & IT, to ensure proper functioning of all data pipelines and health of data warehouse.
Minimum Qualifications
- BS in a relevant field and a minimum of 3 years of relevant industry experience.
Preferred Qualifications
- Strong proficiency with query plans and creating curated datasets.
- Strong proficiency with Python programming language.
- Strong proficiency with Tableau dashboard and workflow.
- Proficiency with large datasets processing, extraction, analysis, and reporting.
- Experience in Yield Management System administration.
- Deep knowledge of the semiconductor process is preferred.
- Experience in yield analysis, defect reduction, and process improvement is preferred.
- Strong proficiency with statistical and machine learning analysis & models in the high-tech manufacturing and test environment is preferred.
- Experience with STDF handling is preferred.
- Experience with Linux operating systems is preferred.
- Experience with underlying technologies of Tableau (Hyper databases, Hyper API, server extracts, prep flows, Python libraries) preferred.
- Proven track record of taking ownership and successfully delivering results.
- Ability to learn new technologies and approaches.
- Focus on customer success and develop team building.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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