People Analytics & AI Intern (Summer 2027)

Responsibilities

• Support the design, development, and testing of People Analytics solutions that turn workforce data into clear, actionable insights for HR and business leaders.
• Contribute to priority projects such as workforce and turnover reporting, talent acquisition analytics, executive scorecards, and integrated HR dashboards.
• Assist with AI-enabled analytics prototypes, including natural-language data exploration, visualization, and research-assistant capabilities using approved tools and data.
• Help improve data quality, documentation, repeatability, and governance across Workday, Snowflake, Streamlit, Power BI, Excel, and related HR data sources.
• Partner closely with the HR Data and Analytics Lead and stakeholders across HR Technology, HR, IT, and the business to clarify questions, requirements, and success measures.
• Profile, clean, reconcile, and validate data; build calculations and visualizations; and document assumptions, source logic, testing results, and limitations.
• Use Python, SQL, Excel, and business intelligence tools to develop analyses and prototypes, applying AI responsibly while protecting confidential employee information.
• Communicate findings through concise dashboards, written summaries, evidence trails, and presentations, and incorporate stakeholder feedback through an iterative approach.

Requirements

• Currently enrolled as a full-time student at an accredited U.S. college or university.
• Pursuing an undergraduate degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Human Resources, Industrial/Organizational Psychology, or a related field.
• Must be authorized to work for any employer in the US without the need for sponsorship, now or in the future.

Skills

• Foundational experience with data analysis and visualization; exposure to Excel plus one or more of Python, SQL, Power BI, Streamlit, or similar tools is preferred.
• Curiosity about people analytics and responsible AI, with strong problem-solving, attention to detail, communication, and willingness to validate results rather than accept outputs at face value.
• Ability to be in the greater Milwaukee area in the summer.

Schedule

• Duration: Summer 2027.
• Up to 40 hours per week.
• Working Arrangements: Hybrid internship – must have a quiet workspace away from interruptions, with the option to work in the office. Maintain regular contact with the supervisor/team via virtual methods.