Human Resources Intern, HR Analytics (Summer 2027)

Global Foundries; Town of Malta (NY); On-site; USD 28,000 - 55,000; Full time

Job summary

GlobalFoundries is seeking an HR Analytics Intern to apply predictive analytics and people metrics for workforce insights. You will collaborate with HR to support staffing, development, and diversity initiatives, while delivering reliable reports and insights.

Ideal candidates are sophomores pursuing a relevant bachelor’s degree, with 3.0+ GPA, English proficiency, and willingness to work 40 hours per week. Familiarity with Power BI/Tableau/SQL/Python/R is a plus.

Qualifications

• Currently a sophomore pursuing a Bachelor’s degree in HR, Business Analytics, Data Analytics, Statistics, Economics, Industrial/Organizational Psychology, Business Administration or related field.
• Minimum 3.0 GPA and good academic standing.

Responsibilities

• Applies and integrates advanced analytics, people metrics and reporting for workforce decision-making (staffing, learning and development, talent management, diversity).
• Drives efficiencies in resource planning through modelling.
• Partners with HR to identify priorities and requirements to meet workforce objectives.
• Provides enhanced reporting systems.
• Delivers timely, reliable information with trends and conclusions.

Skills

English fluency

Team collaboration

Analytical mindset

Strong communication

Education

Sophomore, pursuing Bachelor's degree

Tools

Power BI

Tableau

SQL

Python

R

Job description

About GlobalFoundriesGlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power-efficient and high-performance solutions for high-growth markets. GF is a trusted and holistic technology partner for customers around the world. GF's talented, global team remains focused every day on security, longevity and sustainability. For more information, visit www.gf.com.

Internship Program Overview: Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Our goal is to provide students with a meaningful work experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GF, you'll experience one-on-one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives.

Summary of Role:GF's HR Analytics team is seeking an intern to join the team. This role will apply and integrate advanced and predictive analytics, people metrics and reporting to develop strategic, operational and financial insights for workforce decision-making.

Essential Responsibilities include:

• Applies and integrates advanced and predictive analytics, people metrics and reporting to develop strategic, operational and financial insights for workforce decision-making (e.g., staffing, learning and development, talent management, diversity and other human resource compliance).
• Drives efficiencies in resource planning through modelling.
• In partnership with HR function, identifies priorities and assesses organizational staffing and identifies requirements and solutions to meet workforce objectives.
• Provides enhanced reporting systems.
• Delivers timely, reliable information with assessments, trends, and conclusions of data output.

Other Responsibilities:

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:

• Education - At least a sophomore at time of application and actively pursuing a Bachelor's degree in Human Resources, Business Analytics, Data Analytics, Statistics, Economics, Industrial/Organizational Psychology, Business Administration or related field through an accredited degree program during the time of internship. Must have at least an overall 3.0 GPA and be in good academic standing.
• Language Fluency - English (Written & Verbal)
• Ability to work at least 40 hours per week during the internship.

Preferred Qualifications:

• Prior related internship or co-op experience
• Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
• Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.
• Project management skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.
• Strong written and verbal communication skills
• Strong planning & organizational skills
• Experience with Power BI, Tableau, SQL, Python, R, or other analytics and visualization tools.
• Knowledge of workforce planning, HR metrics, or people analytics concepts.

#InternshipProgramUS Expected Salary Range $20.00 - $40.00 Expected Salary Range$0.00 - $0.00The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at [e-mail] and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre‑employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory. All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third‑party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law