Company Information

PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF Trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and also provides customized financial services, information technology and truck parts related to its principal business. Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services — you can develop the career you desire with PACCAR. Get started!

Division Information

Kenworth Truck Company is the manufacturer of The World’s Best® heavy and medium duty trucks. Kenworth is an industry leader in providing fuel-saving technology solutions that help increase fuel efficiency and reduce emissions. The company’s dedication to the green fleet includes aerodynamic trucks, compressed, and liquefied natural gas trucks, and medium duty diesel-electric hybrids.

Job Summary

The Aftersales Data Analyst Intern will be responsible for cleaning, analyzing, and visualizing data sets to support decision-making across the organization. This is an excellent opportunity for a student or soon to be graduate to gain hands-on experience working with data sets and building dashboards to inform business decisions.

Here's what you will do in this role:

• Learn business systems and how data is created in Aftersales
• Perform ad-hoc analysis using SQL, Python, and ETL skills along with report building as the business dictates
• Generate ad-hoc queries to support Aftersales analysis requests from internal/external stakeholders
• Gather information, analyze data, and collaborate to assist with projects to support warranty reduction
• Create visualizations and reports to communicate findings to various stakeholders
• Work with Aftersales leadership to gather requirements, develop data solutions and foster data-driven decision making across the organization
  
  
  

Required Skills:

• Ability to work independently and collaboratively to make sound decisions
• Ability to prioritize workload in a fast-paced, changing environment
• Excellent analytical, organizational and communication skills
• Experience with data analytics, data modeling, data management, and data reporting and visualization tools (Tableau, Power BI or similar)
• Relevant experience with cloud-based data platforms (AWS, Teradata, Snowflake, Salesforce)
• Proficiency with SQL and Python programming languages
• Proficiency with Microsoft Office Suite
  
  
  

Education

The candidate we seek will be graduating in 2027 or is currently enrolled in an undergraduate or graduate program in Computer Science, Data Analytics, Business Administration, Economics, Statistics, Finance, Marketing, or related program.

Intern Benefits:

As a U.S. PACCAR intern, you have a full range of benefit options including:

• 401k with up to a 5% company match
• Sick Leave
• Medical, dental, and vision plans for you and your family
• Flexible spending accounts (FSA) and health savings account (HSA)
• Life and accidental death and dismemberment insurance
• EAP services include wellness plans, estate planning, financial counseling and more
• Global Fortune 500 company with a wide array of growth, training, and development opportunities
• Work alongside experienced goal-oriented colleagues recognized as experts in their field

Additional Job Board Information

At PACCAR, we value talent and promote growth and development. The hourly rates for Interns are $25 per hour for undergraduates and $30 per hour for graduates. Additionally, this role is eligible for the full range of benefit options listed above.

PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability and E-Verify Employer.