Process Analytics Engineer

About Kaneka Americas Holding

Kaneka Americas Holding is part of Kaneka Corporation, a global specialty chemicals and materials company headquartered in Osaka, Japan. With a history spanning more than 75 years, Kaneka is known for developing highquality products that support everyday life across industries such as chemicals, polymers, health care, nutrition, and advanced materials. Our work is guided by a longterm commitment to innovation, safety, and responsible manufacturing.

In North America, Kaneka operates manufacturing and business facilities that play a key role in serving customers across the region and globally. Our teams work collaboratively to produce materials and solutions used in a wide range of applications-from industrial and construction products to health and wellnessfocused innovations. We take pride in maintaining high standards for quality, environmental responsibility, and workplace safety.

At Kaneka Americas Holding, we believe our people make the difference. We strive to create a workplace where employees are supported, encouraged to grow, and empowered to contribute meaningfully. If you're looking for an opportunity to build your career with a company that values teamwork, integrity, and continuous improvement, we invite you to explore a future with Kaneka.

Why Work at Kaneka Americas Holding?

Working at Kaneka Americas Holding means being part of a company with a longterm perspective and a strong sense of purpose. We offer employees the opportunity to contribute to meaningful work while building a stable and rewarding career.

What you can expect:

• A safetyfocused, peoplefirst workplace
• Meaningful work that supports essential industries and products
• Opportunities to learn, grow, and expand your skills
• Collaboration across teams, functions, and regions
• A company that values quality, responsibility, and continuous improvement

Whether you're early in your career or bringing years of experience, Kaneka America Holdings offers an environment where your contributions matter and your growth is supported.

Our Culture & Values:

At Kaneka Americas Holding, our culture is built on respect, collaboration, and a shared commitment to doing things the right way. Safety, quality, and integrity guide how we work every day-whether we're supporting our manufacturing operations, serving customers, or developing new solutions. We value open communication, thoughtful problemsolving, and learning from one another, and we believe strong teams are created when people feel heard, supported, and trusted.

We also recognize that longterm success comes from investing in our people. Kaneka encourages continuous improvement, professional development, and knowledgesharing across teams and disciplines. Our employees are empowered to take ownership of their work, contribute ideas, and grow their skills in an environment that values both accountability and respect.

ESSENTIAL DUTIES & RESPONSIBILITEIS

Analytics and Reporting

• Build and deploy process manufacturing statistical and predictive models. Conduct data exploration to identify areas of opportunity or risk. Provide data investigation, and consultation on how data quality, integrity and/or controls can be improved. Discover trends, draw conclusions and provide actionable insights.
• Research and analyze plant issues and build anomaly detection solutions to provide predictive insights to end users to ensure process safety and safe plant operations.
• This position shall work along with Seeq, DataPARC and other programs and eventually expectation is he/she shall become site in-house expert, identify new use cases and programming the use cases and expanding the use of real-time data use and multivariate models (so-called Artificial Intelligence) in manufacturing.
• Determine value case for potentially seldom used, or lightly used, data streams and advance the use case for these data sources via proof-of-concept projects in line with DX goals and plans. This position will work closely with the DX Technical Project Manager in developing the roadmap for data management practices around data acquisition.
• This position will engage with Business / Production teams to identify, analyze and propose value driven use cases and have the use cases built on the Analytics platform.
• Provide the trainings regarding data analytics technologies for technicians, researchers and engineers in general or in specific areas as required.

Standards

• Lead BI development to provide stable, high quality, and rapid delivery of reports and dashboards that provide business value. Work cross-organizationally to ensure data solutions are secure, efficient, and in alignment with DX Enterprise Standards.
• Ensure a professional and smooth integration of the added value of analytics into successful operations

Consultation

• Work cross-organizationally to drive adoption of analytics tools and improved data integrity. Ensure DX solutions have sound data management practices. Provide subject matter expertise and consultation on data aspects of new and/or changing DX solutions.
• Transfer knowledge to the stakeholders with respect to improvement results and the way the improvement is achieved
• Support teamwork, development and use of data and dashboards in support of business decisions.
• Identify, analyze, prioritize and implement improvement opportunities based on their value to the organization

Capability Maturity

• Champion data solutions to enhance value and fill gaps. Automate and continuously improve core data functions such as collection, extraction, transformation, quality validation, and control. Collaborate with business stakeholders to ensure sound data and BI capabilities as well as understanding of the importance of quality data.
• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Help form data management and governance processes within the data engineering team. Other duties as assigned.

Must demonstrate the following emotional intelligence skills:

• Emotional Empathy
• Positive Attitude
• Excellent Communication Skills
• Flexibility / Adaptability
• Interpersonal Skills

Bachelors of Engineering (required)

Software (Analytics tools (eq. Seeq), Historians (DataParc or OSI PI), Python or Similar) (required)
High-level experience in methodologies and processes for managing large scale databases. (preferred)
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SAC, MATLAB, etc.) (preferred)
Strong knowledge of and experience with reporting packages (Business Objects, Power BI, etc.), databases (SQL etc.), programming (R, Python, or ETL framworks) (preferred)
1 years: Data mining experience (preferred)
3 years: Experience Analyst in an established organization (preferred)