Data Systems Specialist

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

At Qnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible.

We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Position Overview

Qnity is seeking a motivated and technically skilled Data Analyst to support the Semiconductor Technologies Kalrez® organization. This role bridges data systems, front-end development, and manufacturing operations, enabling reliable, data-driven decision-making across Quality, Engineering, and Production.

The ideal candidate combines strong development and data management expertise with the ability to design practical, user-friendly data interfaces that support shop floor, lab, and quality processes.

Key Responsibilities

• Develop and enhance front-end applications and data visualization tools (Power Apps, dashboards, user interfaces). Design and implement user-friendly input/output interfaces for data collection, tracking, and reporting.
• Design and maintain integrations with ERP and lab systems (SAP, LIMS, MES, data historians). Enable and support SPC, SQC, and MRB systems through data architecture and digital solutions.
• Ensure data integrity, accuracy, and traceability aligned with QMS, audit, and compliance requirements.
• Collaborate cross-functionally with Quality, Engineering, Operations, and IT to translate business needs into technical solutions.

Required Qualifications

• Bachelor’s degree in software dev, Engineering, Data Analytics, or equivalent experience. 2–5 years of experience in database management (preferably in manufacturing or industrial). Proficiency in C# / Microsoft .NET,
• SQL & database technologies, Python, PowerShell, or similar.
• Proven analytical, troubleshooting, and problem-solving skills in production environments.
• Strong communication skills with ability to work across cross-functional teams.
• High attention to detail with emphasis on data quality and system reliability.

Preferred Qualifications

• Experience developing Power BI dashboards and Power Platforms (Power Apps, Copilot Studio). Familiarity with UX/UI design principles for user-friendly interface development.
• Experience integrating with SAP, LIMS, MES, or process historians.
• Understanding of industrial communication protocols (OPC, TCP/IP, Serial). Knowledge of statistical methods for process and quality control (SPC/SQC).
• Key Competencies Strong ownership and accountability Data-driven mindset with focus on system reliability and accuracy Continuous learning and improvement mindset Commitment to quality, innovation, and operational excellence
• Role Value Enables digital quality infrastructure across Kalrez (SAP, SPC, MRB systems) Provides practical, user-friendly data entry and reporting tools (including Access-based interfaces) for shop floor and lab use Reduces manual reporting effort through automation and dashboarding Strengthens audit readiness, traceability, and data integrity Drives continuous improvement through actionable analytics
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• Qnity is an equal opportunity employer.
• Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class.
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• Qnity offers a comprehensive pay and benefits package.
• To learn more visit the Compensation and Benefits page.
• We use Artificial Intelligence (AI) to enhance our recruitment process.