Product Integrity Engineering Quality Safety and Compliance Intern

About the Role

Interns will gain knowledge and experience through exciting and real-life learning opportunities. Interns must work in accordance with DTNA’s core values of passion, respect, integrity and discipline. DTNA internships begin each summer in May or June. In this crucial role as part of the EQSC Strategic Operations Team, you will be a member of a team responsible for regulation reporting, IT Data / Analytics, and Structured Problem Solving for improving product quality and safety approach across DTNA's entire product line. You will work cross-functionally across many different engineering fields ranging from IT, Legal, Chassis, Cab, to Software (TT/S). You will represent EQSC before upper management. Interns in this role may have the opportunity to transition into a full-time position subject to manager evaluations and business availability.

Key Responsibilities

IT Data Analytics

• Use analytical and quantitative methods to understand, predict, and enhance processes.
• Actively work with internal and external customers to analyze business data needs, gather and document business and data architecture requirements.
• Develop data set processes, address business issues with data sets and find hidden patterns using data.
• Identify ways to improve data reliability, efficiency and quality.
• Recognize and adopt best practices in reporting/analysis.
• Undertake cleansing, profiling, validation and aggregation of structured and unstructured data.

Structured Problem Solving

• Support SPS Lead to utilize Practical Problem Solving methods to identify root cause issues.
• Collect and organize relevant data on a daily, weekly, and monthly basis to monitor the performance of the department.
• Identify trends and patterns in departmental performance data, highlighting areas of improvement or concern.
• Support and challenge the FRACAS high priority structured problem solving team with cross-department partnerships on continuous improvement efforts to identify design quality issues, increase speed and quality of resolution for end customers.
• Learn to evaluate topics with data analysis to support or challenge warranty data.
• Utilize appropriate data analysis methods, tools and reports to predict, prevent, and support the resolution of efficiency issues and roadblocks.
• Work closely with the team to generate insights from research, contribute to storyboarding, and define solutions for both physical and digital experiences.
• Lead and support efforts to foster an inclusive and welcoming workplace culture where everyone belongs.

Requirements & Tech Stack

• Must be currently enrolled in a Bachelor’s program or higher from an accredited college/university OR have recently graduated within 1 year of the position start date (May/June).
• Currently pursuing a degree in Engineering, Industrial Engineering with Statistics emphasis or Data Science.
• Demonstrated experience working 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 rather than only controlled classroom datasets experience 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.

Location

• Portland, OR US.

Schedule

• Hybrid (4 days per week in-office / 1 day remote).