Process Data Analytics Engineer

申请编号: 78182

这是一家立足于突破的公司。 加入我们。

康宁是全球领先的玻璃、陶瓷和材料科学创新引领者之一。从海洋深处到浩瀚宇宙，我们的技术不断突破可能性的边界。

我们是如何做到的？依靠我们的员工。在康宁，我们的员工独树一帜、突破常规——这不仅限于职业生涯的某一时刻，而是每一天，都在帮助推动公司及世界的进步。

在康宁，你所做的工作有数之不尽的机会对世界和人类产生积极的影响。你能帮助世界互联互通，驱动汽车的未来，让家庭娱乐更精彩，使救生药品安全送达。你能改变的远不止于此。

加入我们，一同突破。

我们的光通信事业部日前已经从光纤和电缆、硬件与设备制造商发展成为了在更加广泛的通信领域提供行业领先光学解决方案的综合服务供应商。这一领域共分为两种主要的产品分组 – 即载波网络和企业网络。载波网络产品分组主要包括适用于以光学为基础之通信基础设施的产品和解决方案，可用于视频、数据和语音通信等服务。企业网络产品分组则主要包括销售给公司、政府和个人自用并且以光学为基础的通信网络。

Key Responsibilities

• Perform statistical analysis and interpret results to support manufacturing and engineering process improvement.
• Partner closely with process engineers as an embedded analytics resource to investigate process behavior, document performance, and identify opportunities to reduce variability and improve control.
• Prepare, clean, and organize data for analysis, including basic transformation and structuring of data from multiple sources.
• Analyze existing manufacturing and quality datasets, with emphasis on MES data and part quality data from measurement systems.
• Apply appropriate statistical methods to solve process and quality problems and to support hypothesis-driven investigations.
• Develop dashboards, reports, and visualizations to communicate process performance and analytical findings to stakeholders.
• Contribute to advance analytics solutions in machine learning, AI, and computer vision
• Support APAC teams in leveraging data more effectively to monitor processes, identify trends, and enable data-driven decision-making.
• Contribute to the development of standardized reporting and analytics approaches across sites and teams where appropriate.
• Collaborate with cross-functional partners in engineering, manufacturing, quality, and other functions to understand needs and deliver practical analytical solutions.
• Train and coach stakeholders on data usage, reporting tools, and interpretation of analytics results to build organizational capability.
• Deliver value in environments where problems may be loosely defined and data may be incomplete, requiring initiative, sound judgment, and attention to detail.

Required Qualifications

• Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Industrial Engineering, or a related technical discipline.
• Approximately 3+ years of relevant experience in data analytics, statistical analysis, manufacturing analytics, process engineering analytics, or a related field.
• Strong knowledge of statistics, data analysis, and analytical problem solving.
• Strong SQL skills for data extraction, transformation, and analysis.
• Strong Python skills for data analysis, visualization, and related workflows.
• Experience creating data visualizations, dashboards, and reports to support decision making.
• Ability to work effectively with manufacturing and quality data.
• Ability to prepare, clean, and structure data for analysis.
• Basic knowledge of data engineering concepts and data workflows.
• Strong written and verbal communication skills in English.
• Ability to explain analytical findings clearly to technical and non-technical stakeholders.
• High attention to detail and strong organizational skills.

Preferred Skills

• Direct manufacturing experience strongly preferred.
• Experience with Databricks strongly preferred.
• Experience with Power BI for dashboarding and reporting.
• Experience with JMP for statistical analysis and visualization.
• Familiarity with machine learning methods and their practical application in business or manufacturing settings.
• Familiarity with LLMs, AI tools, or emerging analytics technologies.
• Understanding of statistical process control (SPC), variation reduction, and manufacturing performance metrics.
• Experience integrating or analyzing data from MES, quality systems, and measurement equipment.
• Understanding of manufacturing processes and industrial data systems.

Soft Skills

• Strong collaborator who can work closely with process engineers and cross functional teams to solve problems.
• Self-motivated and able to work independently with limited direction.
• Comfortable operating in ambiguous environments and defining a path forward.
• Able to train, coach, and influence others in the use of analytics and data-driven thinking.
• Strong communication and presentation skills, including the ability to work effectively across countries, teams, and cultures within APAC.
• Detail oriented, with a strong focus on accuracy, data integrity, and follow-through.

康宁致力于提供平等就业机会，并根据适用的法律考虑合理便利申请。残障人士或有宗教信仰的人员可申请合理便利，以便参与应聘，工作或享受公司福利和权益。如需申请与残障或宗教相关的合理便利，请通过accommodations@corning.com联系我们。