People Analytics Specialist

5195 EKC Advanced Electronics USA, LLC; Delaware; On-site; USD 85,000 - 115,000; Full time

Job summary

Qnity is seeking a data analytics-focused HR data professional to manage HR data, develop Workday reports, and translate workforce data into actionable insights. The role emphasizes Python-driven automation and cross-functional partnership with HR.

Ideal candidates will have a Workday background, strong Python skills, and experience handling large datasets while upholding data privacy and governance standards. Fluent English is required for global collaboration.

Qualifications

• Experience with Workday reporting and HR data structures.
• Strong Python skills for data analysis and automation.
• Experience with medium to large datasets.
• Fluent English (written and spoken).

Responsibilities

• Manage and maintain HR data with accuracy, governance, and privacy.
• Develop and maintain Workday reports and data extracts for HR and business needs.
• Analyze workforce data (headcount, attrition, mobility, diversity) and translate results into insights.
• Use Python to automate data cleaning, validation, and reporting processes.
• Support periodic HR reporting cycles and ad-hoc analytical requests.
• Partner with HR teams to understand data needs and propose analytical solutions.
• Ensure compliance with internal data standards and data privacy requirements.

Skills

Workday reporting

Python data analysis

Data analytics concepts

Large datasets

English fluency

Education

Bachelor’s degree in data analytics or related field

Tools

Power BI

Tableau

Job description

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.

Key Responsibilities

• Manage and maintain HR data with a strong focus on accuracy, consistency, and governance.
• Develop and maintain Workday reports and data extracts to support HR and business needs.
• Analyze workforce data (e.g., headcount, attrition, mobility, diversity) and translate results into insights.
• Use Python to automate data cleaning, validation, and reporting processes.
• Support periodic HR reporting cycles and ad-hoc analytical requests.
• Partner with HR teams to understand data needs and propose analytical solutions.
• Ensure compliance with internal data standards and data privacy requirements.

Required Experience & Qualifications

• Practical experience with Workday, especially reporting and HR data structures.
• Strong working knowledge of Python for data analysis and automation.
• Solid foundation in data analytics concepts, metrics, and data quality management.
• Experience working with medium to large datasets.
• Fluent English (written and spoken).

Preferred Experience

• Bachelor’s degree in data Analytics, HR, Information Systems, Statistics, or related field.
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Exposure to global HR data or multinational organizations.
• Understanding of HR KPIs and workforce analytics best practices.

Key Skills & Competencies

• Analytical mindset with strong attention to detail.
• Ability to work independently on complex data tasks.
• Clear communication of insights to non-technical audiences.
• Strong problem‑solving and process‑improvement orientation.
• Ability to manage multiple priorities in a dynamic environment.

#LI-LH1 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. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.

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. Join a global leader making tomorrow’s technologies possible, from AI to advanced computing and beyond. Here, your ideas spark innovation, your curiosity drives progress, and your journey powers the next leap in electronics.

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. If you need a reasonable accommodation to search or apply for a position, please visit our