Data Analytics Engineer
Corning Incorporated4 days ago
Haikou, ChinaSenior
Responsibilities
- Collect, clean, validate, and preprocess structured and unstructured data from plant, operational, and business sources.
- 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 plant improvement opportunities.
- Translate business questions into analytical approaches and communicate findings and recommended actions to stakeholders.
- Develop, train, evaluate, deploy, optimize, and monitor machine-learning models supporting plant performance improvement.
- Design, build, test, and improve AI-powered agents for data analysis, automated reporting, and decision support.
- Apply LLMs for data understanding, code generation, summarization, and insight generation through prompt design and evaluation.
- Integrate AI agents with approved data sources and workflows while assessing privacy, compliance, and other risks.
- Lead end-to-end data analytics, automation, and AI projects, including scope, requirements, delivery, and benefit tracking.
- Partner with plant teams, Digital, IT, and other stakeholders to prioritize use cases and deliver scalable solutions.
- Manage project plans, milestones, risks, communications, and issue resolution.
- Document data definitions, pipelines, analytical methods, model and agent logic, technical designs, and project outcomes.
- Promote knowledge sharing, user adoption, and continuous improvement across plants.
Requirements
- Bachelor’s degree or above in Computer Science, Data Science, Statistics, Industrial Engineering, Automation, or a related discipline.
- At least 5 years of relevant experience in data analytics, data engineering, business intelligence, or digital/manufacturing analytics; candidates with relevant project experience may also be considered.
- Proficiency in Python and SQL, with hands-on experience using Pandas, NumPy, Excel, and Power BI.
- 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, including tool use, workflow orchestration, and prompt-based reasoning.
- Ability to apply AI responsibly to analytics, coding assistance, or reporting, with awareness of data privacy, cybersecurity, and responsible-AI principles.
- Strong problem-solving, stakeholder communication, and documentation skills.
- Professional working proficiency in English and Chinese.
- Manufacturing, operational, or supply-chain data experience is preferred.
- Experience with AWS or other cloud data and AI platforms, APIs, Git, databases, data warehouses, data orchestration, MLOps, dashboard development, or analytics deployment is preferred.
- Experience with manufacturing systems and data such as MES, ERP, or SCADA/historian systems, and Lean or continuous-improvement practices, is preferred.
- Experience evaluating LLM applications or building AI-agent workflows is a plus.
Categories
About Corning Incorporated
Corning Incorporated designs and manufactures specialty glass, ceramics, and optical materials for consumer electronics, communications networks, automotive emissions control, advanced displays, and life-science research. Core lines include Gorilla Glass and other specialty materials, display glass substrates, optical fiber and connectivity, emissions-control substrates, and laboratory vessels sold to device makers, network builders, automakers, and researchers. Founded in 1851 and headquartered in Corning, New York, it is a public company traded on the NYSE (ticker: GLW).