2027 Summer Internship - Human Resources - HR Analytics - Virtual

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.

• Support workforce analytics projects involving topics such as 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 used by HR and business leaders.
• Work with large HR datasets using tools such as Excel, Power BI, SQL, and Snowflake to retrieve, combine, validate, and analyze data.
• Assist with data quality and reconciliation, including investigating discrepancies across systems, reports, and data sources.
• Help document business requirements, data definitions, calculation logic, source-to-report mappings, and reporting specifications.
• Participate in exploratory analytics and emerging technology projects, including the use of AI and automation within HR analytics.
• Develop tables, visualizations, presentations, and other materials that communicate analytical findings to both technical and non-technical audiences.
• Partner with members of HR and other business teams to understand questions, translate them into analytical requirements, and help develop data-driven answers.
• Perform other duties as required.

What You Bring To Freeport

• 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
• Recent graduate (within 12 months prior to internship start date) with a degree in one of these or a closely related field.
• Strong analytical and problem-solving skills, including an interest in working through ambiguous problems and identifying meaningful patterns in data.
• Ability to work with detailed information while maintaining a high level of accuracy and data quality.
• Ability to organize, interpret, and communicate information clearly through written summaries, visualizations, and presentations.
• Strong oral and written communication skills.
• Demonstrates curiosity, initiative, organization, and willingness to learn.
• Ability to collaborate effectively with both technical and business partners.
• Demonstrates responsible judgment when working with confidential or sensitive information.
• Must be able to demonstrate our core values of honesty, fairness, respect, trust, and integrity.

Preferred Qualifications

• 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.
• 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 is helpful but not required.