Data Analytics Engineer
Date: 21 Oct 2026
Location: Haikou City, HI, CN, 570216
Company: Corning
Requisition Number: 79286
The company built on breakthroughs.
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Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.
How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.
Education & Experience
• 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; strong candidates with relevant project experience may be considered.
• Experience working with manufacturing, operational or supply-chain data is preferred.
Day to Day Responsibilities
1. Data engineering & analytics
o Collect, clean, validate and pre-process structured and unstructured data (text, image, video, and audio) from plant, operational and business sources.
o Build and maintain scalable data models, datasets, ETL/ELT pipelines and data-quality checks; ensure timely, accurate and traceable data availability.
o Conduct statistical analysis and develop visualizations, dashboards and recurring reports to identify operational improvement opportunities in CHOCC plant.
o Translate business questions into analytical approaches and clearly communicate findings and recommended actions to stakeholders.
2. Machine learning & advanced analytics
o Develop, train, evaluate and deploy fit-for-purpose machine-learning models to identify patterns, predict outcomes and support plant performance improvement.
o Optimize model accuracy, robustness and performance; monitor model results and iterate based on business feedback.
3. AI & intelligent agents
o Design, build, test and improve AI-powered agents for data analysis, automated reporting and decision support.
o Apply LLMs for data understanding, code generation, summarization and insight generation, including prompt design, evaluation and iteration.
o Integrate AI agents with approved data sources and workflows (e.g., Python scripts, APIs and databases), while assessing limitations, risks, privacy and compliance requirements.
4. Project Leadership, Collaboration & Documentation
o Lead end-to-end data analytics, automation and AI-enabled projects, from opportunity identification and requirements gathering through solution design, development, deployment and benefit tracking.
o Partner with plant teams, Digital/IT and other cross-functional stakeholders to define project scope, prioritize use cases, align resources and deliver practical, scalable solutions.
o Drive project plans, milestones, risks, stakeholder communications and issue resolution to ensure timely delivery and realization of targeted business benefits and cost reductions.
o Establish and maintain clear documentation for data definitions, pipelines, analytical methodologies, model/agent logic, technical designs and project outcomes.
o Promote knowledge sharing, user adoption and continuous improvement of data, analytics and AI solutions across the plants.
Required Skills
• Proficiency in Python and SQL; hands-on experience with data analysis libraries and tools such as Pandas, NumPy, Excel and Power BI.
• 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 (e.g., tool use, workflow orchestration and prompt-based reasoning), and the ability to apply them responsibly to analytics, coding assistance or reporting.
• Awareness of data privacy, cybersecurity and responsible-AI principles.
• Strong problem-solving, stakeholder communication and documentation skills; able to work effectively across functions.
• Professional working proficiency in English and Chinese.
Desired Skills
• Experience with cloud data/AI platforms (e.g., AWS), APIs, version control (Git) and databases/data warehouses.
• Familiarity with data orchestration, MLOps, dashboard development or deployment of analytics solutions.
• Experience with manufacturing systems/data (e.g., MES, ERP, SCADA/historian) and Lean/continuous-improvement practices.
• Experience evaluating LLM applications or building AI-agent workflows is a plus.
Travel Requirements: up to 30%, based on business needs.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.