Product Integrity Intern: Data Analytics & Quality

Daimler Truck North America; Portland (OR); Hybrid; USD 29,000 - 40,000; Part time

Benefits offered by this job

Professional development and events

Housing and transportation stipend

Employee resource groups

Event ticket offering

Company social events

Job summary

Daimler Truck North America (DTNA) offers internships starting each summer in May or June, across multiple US locations including Portland, OR. The IT Data Analytics track focuses on data analysis, reporting, and improving product quality and efficiency for EQSC.

Interns gain hands-on experience with cross-functional teams, and may transition to full-time based on performance and business needs. Interns will work on data-driven projects, use tools like Tableau/Power BI, and participate in

Qualifications

• Must be currently enrolled in a Bachelor's program or higher
• Pursuing Engineering/Industrial Eng with Statistics emphasis or Data Science
• Experience with relational data
• Python or R exposure
• Data cleansing and validation
• Data analysis and statistical reasoning
• Structured/root-cause problem solving
• Ability to communicate analytical findings clearly
• Engineering, manufacturing, automotive, quality, or reliability data experience preferred
• Large and/or messy datasets experience preferred
• Process improvement experience preferred
• Predictive or trend analysis experience preferred
• Academic projects involving real-world data preferred
• Tableau, Power BI, or similar visualization experience preferred
• Strong oral and written communication skills
• Solid organizational skills
• Creative mindset
• Interpersonal skills and ability to work in a team environment

Responsibilities

• Use analytical and quantitative methods to understand, predict, and enhance processes.
• Analyze business data needs with internal/external customers; document data requirements.
• Develop data set processes; address business issues with data; find patterns.
• Improve data reliability, efficiency and quality.
• Adopt best practices in reporting/analysis and data visualization.
• Perform data cleansing, profiling, validation, and aggregation of data.
• Support SPS Lead with Practical Problem Solving for root-cause issues.
• Collect and organize data to monitor department performance.
• Identify trends and patterns; highlight improvements or concerns.
• Support cross-department efforts to identify design quality issues and improve resolution speed.
• Evaluate topics with data analysis to support warranty data.
• Use data analysis methods to predict, prevent, and resolve efficiency roadblocks.
• Collaborate to generate insights, storyboard, and define data-driven solutions for physical/digital experiences.
• Lead and support an inclusive, welcoming workplace culture where everyone belongs

Skills

Python or R exposure

Data cleansing

Data analysis

Statistical reasoning

Structured/root-cause problem solving

Communication of analytics

Team collaboration

Organizational skills

Creative mindset

Interpersonal skills

Education

Bachelor's degree or higher in Engineering/Industrial Eng with Stats or Data Science

Tools

Tableau

Power BI

Job description

Daimler Truck North America (DTNA) offers internships starting each summer in May or June, across multiple US locations including Portland, OR. The IT Data Analytics track focuses on data analysis, reporting, and improving product quality and efficiency for EQSC.

Interns gain hands-on experience with cross-functional teams, and may transition to full-time based on performance and business needs. Interns will work on data-driven projects, use tools like Tableau/Power BI, and participate in