People Analytics Specialist

Posted 2 Days Ago
Be an Early Applicant
Wilmington (Delaware), DE, USA
In-Office
Mid level
Artificial Intelligence • Semiconductor • Chemical • Manufacturing
The Role
Manage and govern HR data, build Workday reports and extracts, analyze workforce metrics (headcount, attrition, mobility, diversity), automate data cleaning and reporting with Python, support periodic and ad-hoc HR analytics, partner with HR stakeholders, and ensure data quality and privacy compliance.
Summary Generated by Built In

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

Join our Talent Community to stay connected with us!

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.

Skills Required

  • 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).
  • Bachelor's degree in Data Analytics, HR, Information Systems, Statistics, or related field.
  • Experience with data visualization tools (Power BI, Tableau).
  • Exposure to global HR data or multinational organizations.
  • Understanding of HR KPIs and workforce analytics best practices.
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
10,000 Employees
Year Founded: 2025

What We Do

Qnity Electronics, Inc. is a premier technology provider across the semiconductor and advanced electronics value chain. It specializes in providing high-performance materials and integration expertise to enable breakthroughs in AI, high-performance computing, and advanced connectivity. Its offerings range from semiconductor chip manufacturing solutions to high-speed transmission materials for complex electronic systems, serving as a critical partner in the global electronics ecosystem.

Similar Jobs

AMP Logo AMP

Vice President, Engineering

Artificial Intelligence • Computer Vision • Greentech • Machine Learning • Robotics • Industrial • Automation
Easy Apply
Remote or Hybrid
United States
175 Employees

Wipfli Logo Wipfli

Sales Intelligence Analyst

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
3000 Employees
73K-98K Annually

Wipfli Logo Wipfli

Senior Manager/Director, Tax - Insurance

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
3000 Employees
142K-192K Annually

Optum Logo Optum

Registered Nurse

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Clayton, DE, USA
160000 Employees
31-82 Hourly

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
New York, New York
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account