2027 Summer Internship - Human Resources - HR Analytics - Virtual

Freeport McMoRan • Phoenix, AZ

4d • $21 - $26 • Remote

About The Position

The HR Analytics Intern will work with Freeport-McMoRan’s Workforce Insights & Analytics team to turn workforce data into meaningful insights that support HR and business decision-making. The intern will gain hands-on experience with HR data, analytics tools, reporting solutions, and emerging technologies while contributing to projects used across the organization.

This is a temporary, full-time, paid internship that usually runs from May through August. The program is intended for full-time students enrolled at an accredited four-year university and recent graduates in North America. The role is virtual, with opportunities to meet in person at the Collaboration Hub in Phoenix and/or at a site location when needed. Remote work is available from most U.S. states, with specified state exclusions and possible additional exclusions based on business factors. The position is not eligible for immigration work visa sponsorship.

Requirements

• Currently enrolled full-time at an accredited four-year university pursuing a bachelor's degree or higher in a relevant field, or a recent graduate (within 12 months before the internship start date) with a degree in a relevant field. Listed fields include Data Analytics, Data Science, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, Economics, Finance, Business, and Human Resources, or a closely related field.
• Strong analytical and problem-solving skills, including interest in working through ambiguous problems and identifying meaningful patterns in data.
• Ability to work with detailed information while maintaining accuracy and data quality.
• Ability to organize, interpret, and communicate information clearly through written summaries, visualizations, and presentations.
• Strong oral and written communication skills.
• Curiosity, initiative, organization, and willingness to learn.
• Ability to collaborate effectively with technical and business partners.
• Responsible judgment when working with confidential or sensitive information.
• Ability to demonstrate the company’s core values of honesty, fairness, respect, trust, and integrity.
• Ability to understand, apply, and communicate verbal and written work and safety-related instructions, procedures, job assignments, and applicable safety standards in English.
• Ability to multitask, work under pressure, and meet time-sensitive deadlines.
• Must complete mandatory pre-employment drug testing and ongoing random drug testing as applicable under state laws.

Nice To Haves

• Hands-on experience with SQL, Power BI, Python, R, Snowflake, or similar data and analytics technologies through coursework, internships, personal projects, or previous work; experience with large or complex datasets is a plus.
• Exposure to generative AI and emerging technologies, including AI agents, large language models, prompt/context engineering, knowledge grounding, agent development, or structured testing and evaluation of AI capabilities.
• Coursework or project experience involving statistics, data analysis, data visualization, data modeling, business intelligence, or related analytical disciplines.
• Experience applying analytics to a real business problem and translating results into a clear insight, recommendation, or solution.
• Previous exposure to HR, workforce, recruiting, organizational, or people-related data.

Responsibilities

• Support workforce analytics projects involving headcount, turnover, recruiting and vacancies, workforce planning, employee demographics, time and attendance, and other HR measures.
• Analyze workforce data to identify trends, patterns, exceptions, and opportunities, and help translate findings into clear business insights.
• Assist with the development and enhancement of Power BI dashboards, reports, and recurring analytics for HR and business leaders.
• Use Excel, Power BI, SQL, and Snowflake to retrieve, combine, validate, and analyze large HR datasets.
• Assist with data quality and reconciliation, including investigating discrepancies across systems, reports, and data sources.
• Document business requirements, data definitions, calculation logic, source-to-report mappings, and reporting specifications.
• Participate in exploratory analytics and emerging technology projects, including AI and automation within HR analytics.
• Develop tables, visualizations, presentations, and other materials to communicate analytical findings to technical and non-technical audiences.
• Partner with HR and other business teams to understand questions, translate them into analytical requirements, and help develop data-driven answers.
• Perform other duties as required.

Benefits

• Hands-on experience in a dynamic and innovative environment.
• Opportunity to work on meaningful projects and initiatives that drive impact across the organization.
• Exposure to various aspects of business operations across North America sites.
• Ability to develop and enhance technical and analytical skills.
• Mentorship and professional development opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern