Reliability Data Analytics Intern

Daimler Truck; Fort Mill (SC); On-site; USD 29,000 - 40,000; Full time

Benefits offered by this job

Professional development

Housing stipend

Employee resource groups

Event tickets

Company social events

Job summary

Daimler Truck North America is seeking a Reliability Engineering Intern to support data analysis across warranty, reliability, product and engineering domains. You will work with real-world datasets and collaborate with cross-functional teams to deliver insights that drive quality and profitability.

Gain hands-on experience analyzing data from multiple sources, developing summary reports and dashboards, and using analytics tools for forecasting and trend analysis.

Qualifications

• Currently enrolled in a Bachelor’s program or recently graduated within 1 year of start date.
• Pursuing or holding a degree in Engineering, Science, Statistics, Economics, or Data Analytics.
• Strong oral and written communication skills.
• Solid organizational skills and a creative mindset.

Responsibilities

• Analyze data from multiple sources (dealers, customers, technicians) to identify trends and root causes.
• Develop summary reports and dashboards to communicate findings and key issues.
• Use analytics tools for forecasting, trend analysis, and cost-driver identification (parts, labor).
• Evaluate cost exposure and reliability data to support risk assessment and portfolio optimization.
• Identify outliers in repair activity and help develop tools to detect opportunities or risks.
• Contribute to fostering an inclusive and welcoming workplace culture.

Skills

Data analysis

Dashboards

Forecasting

Root cause analysis

Communication

Education

Bachelor's degree in a quantitative field or current enrollment

Tools

Analytics tools

Job description

Daimler Truck North America is seeking a Reliability Engineering Intern to support data analysis across warranty, reliability, product and engineering domains. You will work with real-world datasets and collaborate with cross-functional teams to deliver insights that drive quality and profitability.

Gain hands-on experience analyzing data from multiple sources, developing summary reports and dashboards, and using analytics tools for forecasting and trend analysis.