Process Data Analytics Engineer

Work Your Magic with us! Start your next chapter and join EMD Electronics.

Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Everything we do in EMD Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency. Together, we push the boundaries of science to make more possible for our customers.

This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.

Location: The Process Data Analytics Engineer is an onsite position based in Dallas, TX, with approximately 10% travel required to meet business needs.

Your Role

The Formulations business unit is dedicated to enabling digital transformation to enhance quality, efficiency, and decision-making processes. As a Process Data Analytics Engineer, you will play a pivotal role in advancing our digital transformation strategy by driving innovative digital solutions to optimize manufacturing processes and ensure the highest levels of quality for our customers. You will be instrumental in enhancing our operational efficiency and productivity through data-driven insights, developing, and implementing solutions that address complex business challenges, enhancing quality, and reducing costs. You will support high-impact projects and initiatives, including new product introductions, product transfers, and process change notifications.

Key responsibilities include:

• Leverage chemical engineering principles and domain expertise to drive process optimization, reduce scrap, and improve quality and efficiency.
• Utilize statistics and machine learning to extract valuable insights from complex manufacturing and quality data and drive process improvement initiatives.
• Develop automated, end-to-end data pipelines that enable seamless downstream analytics, reporting, and visualizations.
• Lead the design and implementation of data analytics projects-including data collection, analysis, and interpretation-while standardizing digital solutions to enhance planning, process monitoring, and root-cause investigation.
• Collaborate with cross-functional teams to ensure alignment of analytics initiatives with business objectives and best practices.
• Serve as the first line of defense for advanced data analytics within Formulations operations, effectively addressing quality issues and customer complaints.
• Own and enhance digital solutions, acting as the primary technical point of contact for users.
• Facilitate the adoption of digital tools through upskilling, training, and engagement initiatives.

Who You Are

Minimum Qualifications:

• Bachelor's degree in Chemical Engineering or a related field with 5+ years of experience using data engineering, data science, and/or data analytics to drive improvements in quality and productivity for manufacturing operations.

OR

• Master's degree in Chemical Engineering or a related field with 3+ years of experience using data engineering, data science, and/or data analytics to drive improvements in quality and productivity for manufacturing operations.
• Demonstrated proficiency with Python and SQL.
• Working knowledge of multivariate statistical analysis and applied machine learning concepts.
• Excellent written and spoken communication skills in English, with the ability to convey data-driven solutions to non-technical users.

Preferred Qualifications:

• PhD in Chemical Engineering or a related field with 3+ years of experience using data engineering, data science, and/or data analytics to drive improvements in quality and productivity for manufacturing operations.
• Demonstrated experience building end-to-end data pipelines, dashboards, and custom applications using analytics and business intelligence platforms such as Palantir Foundry, AWS, and Tableau.
• Ability to quickly understand complex data architectures and use data and analytics to drive effective decision-making.
• Strong organizational, planning, and project management skills, with a keen attention to detail.
• Strong problem-solving skills with a proactive mindset, capable of working collaboratively in a team environment as well as independently.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of our diverse team!

If you would like to know more about what diversity, equity, and inclusion means to us, please visit https://www.emdgroup.com/en/company/press-positions.html