Clarios is the force behind the world’s most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials—setting the standard for sustainability in our industry. At Clarios, we’re not just making batteries; we’re shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios—where your power meets endless possibilities.
Veterans/Military Spouses:
We value the leadership, adaptability, and technical expertise developed through military service.
What you'd do
- 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.
- 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.
- Starts
- 2026-09-14