Role Overview
The company is a leading innovator in glass, ceramics, and materials science. The Data Analytics Engineer will work with the plant teams, Digital/IT, and other cross-functional stakeholders to define project scope, prioritize use cases, align resources, and deliver practical, scalable solutions.
What You Will Do
The Data Analytics Engineer will collect, clean, validate, and pre-process structured and unstructured data; build and maintain scalable data models, datasets, ETL/ELT pipelines, and data-quality checks; conduct statistical analysis and develop visualizations, dashboards, and recurring reports to identify operational improvement opportunities.
Why It Might Be a Fit
The Data Analytics Engineer will have the opportunity to make a significant impact on the company’s progress and the world’s progress. The role requires strong problem-solving, stakeholder communication, and documentation skills, as well as proficiency in Python, SQL, and data analysis libraries and tools.
Requirements
- Bachelor’s degree or above in Computer Science, Data Science, Statistics, Industrial Engineering, Automation, or a related discipline
- Relevant experience in data analytics, data engineering, business intelligence, or digital/manufacturing analytics
- Proficiency in Python and SQL
- Solid understanding of data cleaning, data modeling, ETL/ELT, statistical analysis, visualization, and data-quality management
- Working knowledge of machine-learning concepts, common algorithms, model evaluation, and performance tuning
- Foundational understanding of generative AI, LLMs, and AI-agent concepts
- Awareness of data privacy, cybersecurity, and responsible-AI principles
- Strong problem-solving, stakeholder communication, and documentation skills
- Professional working proficiency in English and Chinese
Benefits
- Comprehensive benefits package
- Collaborative and dynamic work environment
To apply for this job please visit corningjobs.corning.com.
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