
2027 Summer Internship - Human Resources - HR Analytics - Virtual
Remote · USTemporary / Full-time$21–25.5/hrSeen todaySeen in employer's feed today
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Job overview
The HR Analytics Intern will work with Freeport-McMoRan’s Workforce Insights & Analytics team to turn workforce data into insights supporting HR and business decisions. The internship offers hands-on experience with HR data, analytics tools, reporting solutions, and emerging technologies. The program is temporary, full-time, and paid, usually running from May through August; this position is not eligible for immigration work visa sponsorship.
Skills & qualifications
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Full job description
2027 Summer Internship - Human Resources - HR Analytics - Virtual
Requisition ID: 147946
Location:
Phoenix, AZ, US, 85040
Category: Intern
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Why You Should Apply For This Job:
Why You Should Apply for This Internship
At Freeport-McMoRan, we are committed to providing internship opportunities that recognize excellence and encourage safe production with a culture supported by our core values. You'll be part of a collaborative environment, gaining the skills and experience to set you on the path to a successful future.
Our internship program is designed for full-time students currently enrolled at an accredited four-year university and recent graduates in North America. These are temporary full-time paid positions that usually run from May through August. _Apply Today! _
This position is not eligible for Freeport-McMoRan immigration work visa sponsorship.
**Where You Will Work **
Freeport-McMoRan is a leading international metals company with global headquarters in Phoenix, Arizona. Several hundred employees support our operations in accounting and finance, human resources, health and safety, information technology, planning, engineering, and more. Our virtual internship program allows interns to work virtually as well as come together in person when needed at our Collaboration Hub in Phoenix and/or one of our site locations. Interns can work remotely from most states in the U.S., with the exception of California, Connecticut, Illinois, Kansas, Kentucky, Massachusetts, Michigan, New Hampshire, New York, North Carolina, Oklahoma and South Carolina. Additional states may be excluded from virtual work based on business factors.
What You Will Do
As an HR Analytics Intern, you will work alongside the Workforce Insights & Analytics team to turn workforce data into meaningful insights that support HR and business decision-making. You will gain hands-on experience with real-world HR data, analytics tools, reporting solutions, and emerging technologies while contributing to projects used across the organization.
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Support workforce analytics projects involving topics such as headcount, turnover, recruiting and vacancies, workforce planning, employee demographics, time and attendance, and other HR measures.
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Analyze workforce data to identify trends, patterns, exceptions, and opportunities, and help translate findings into clear business insights.
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Assist with the development and enhancement of Power BI dashboards, reports, and recurring analytics used by HR and business leaders.
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Work with large HR datasets using tools such as Excel, Power BI, SQL, and Snowflake to retrieve, combine, validate, and analyze data.
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Assist with data quality and reconciliation, including investigating discrepancies across systems, reports, and data sources.
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Help document business requirements, data definitions, calculation logic, source-to-report mappings, and reporting specifications.
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Participate in exploratory analytics and emerging technology projects, including the use of AI and automation within HR analytics.
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Develop tables, visualizations, presentations, and other materials that communicate analytical findings to both technical and non-technical audiences.
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Partner with members of HR and other business teams to understand questions, translate them into analytical requirements, and help develop data-driven answers.
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Perform other duties as required.
What You Bring To Freeport
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Currently enrolled full-time at an accredited four-year university pursuing a bachelor's degree or higher in Data Analytics, Data Science, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, Economics, Finance, Business, Human Resources, or a closely related field; OR
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Recent graduate (within 12 months prior to internship start date) with a degree in one of these or a closely related field.
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Strong analytical and problem-solving skills, including an interest in working through ambiguous problems and identifying meaningful patterns in data.
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Ability to work with detailed information while maintaining a high level of accuracy and data quality.
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Ability to organize, interpret, and communicate information clearly through written summaries, visualizations, and presentations.
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Strong oral and written communication skills.
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Demonstrates curiosity, initiative, organization, and willingness to learn.
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Ability to collaborate effectively with both technical and business partners.
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Demonstrates responsible judgment when working with confidential or sensitive information.
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Must be able to demonstrate our core values of honesty, fairness, respect, trust, and integrity.
Preferred Qualifications
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Hands-on experience with data and analytics technologies such as SQL, Power BI, Python, R, Snowflake, or similar tools, gained through coursework, internships, personal projects, or previous work; experience working with large or complex datasets is a plus.
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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.
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Coursework or project experience involving statistics, data analysis, data visualization, data modeling, business intelligence, or related analytical disciplines.
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Experience applying analytics to a real business problem and translating results into a clear insight, recommendation, or solution.
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Previous exposure to HR, workforce, recruiting, organizational, or people-related data is helpful but not required.
What We Offer:
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The estimated pay range for this role is currently$21.00 - $25.50/hour. Individual pay rates will be based on level of education and relevant experience.
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Hands-on experience in a dynamic and innovative environment.
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Opportunity to work on meaningful projects and initiatives that drive impact across the organization.
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Exposure to various aspects of business operations across our North America sites.
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Ability to develop and enhance technical and analytical skills.
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Mentorship and professional development opportunities.
What We Require:
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Ability to understand, apply and communicate verbal and written work and safety-related instructions, procedures, job assignments and applicable safety standards in English.
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Must be able to multi-task, work under pressure, and meet time-sensitive deadlines.
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Freeport-McMoRan promotes a drug/alcohol free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as per applicable state laws.
Equal Opportunity Employer
Please be advised Freeport-McMoRan will never request payment for job-related expenses from applicants. If you receive any suspicious emails, please disregard them, and report the incident to [email protected].
How this job compares
Set against the 2,444 open Data Analytics jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$21–25.5/hr
- US median$23–32/hr190 hourly ranges
This range's midpoint, $23.25/hr, is 15% below the US median midpoint ($28/hr) — in the lowest quarter of Data Analytics hourly ranges across the US.
- Openings
- Olive Jobs lists 40 open Data Analytics jobs in Arizona and 2,444 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in Arizona
- Deloitte7 open
- American Express4 open
- CDM Smith4 open
- Experience
- Data Analytics postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (1,902 postings).
- Education
- 1,190 of the 2,444 open Data Analytics jobs (49%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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