People Analytics Specialist

EKC Advanced Electronics USA•Wimington, DE

About The Position

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.

Requirements

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).

Nice To Haves

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.
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.

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.