Aftermarket Purchasing Data Analyst (GR 23)

As the Aftermarket Purchasing Data Analyst, you will have the opportunity to learn about and support the aftermarket business and to develop analytics tools focused on delivering the highest value to both internal and external customers. This position is a great opportunity to advance your professional development in the fields of Purchasing, Data Analytics, and Business/Systems Development and to prepare you for future career growth with PACCAR.

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 andalso 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!

• Develop and implement improved aftermarket processes to increase team's efficiency.
• Build and maintain databases using AWS, Snowflake, SQL
• Perform data analysis and reporting on large datasets from multiple sources
• Develop robust data dashboards to support negotiations and team goal attainment.
• Support Commodity Managers and Assistant Directors with all aspects of supplier business awards.
• Support development of commodity strategies and suppliers.
• Assist with development of supplier contracts and agreements when needed.
• Support activities to drive improved supplier performance.
• Conduct meetings and formal presentations with suppliers and PACCAR Parts personnel.
• Daily analysis and report building for Commodity Managers
• PO discrepancy processing and reporting
• Tracking and reporting on contractual Supplier funding
• Supplier cost increase request reporting
• Aftermarket Purchasing goal tracking and reporting
• Other tasks as assigned.

• Strong programming skills (Python, SQL, Snowflake, Access, Power Point, Excel, Power BI and/or Tableau required)
• 2-3 years of applicable work experience required.
• Excellent organizational skills, attention to details and multitasking ability
• Excellent written and verbal communication skills
• Creative, self-motivated quality and results-driven work ethic

Bachelor's degree in business administration, Data Analytics, Supply Chain Management, Engineering, Finance, or related field required

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

• Competitive salary and 401k with up to a 5% company match
• Fully funded pension plan that provides monthly benefits after retirement
• Comprehensive paid time off - Minimum of 10 paid vacation days, 12 paid holidays, and sick leave
• Tuition reimbursement for continued education
• Medical, dental, and vision plans for you and your family
• Flexible spending accounts (FSA) and health savings account (HSA)
• Paid short-and long-term disability program
• Life and accidental death and dismemberment insurance
• EAP services including wellness plans, estate planning, financial counseling and more
• Global Fortune 500 company with a wide array of growth and development opportunities
• Work alongside experienced goal-oriented colleagues recognized as experts in their field

PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability. At PACCAR, we value talent and promote growth and development. We carefully consider numerous compensation factors, including your education, training, or experience. The salary range for "Aftermarket Purchasing Data Analyst is $70,500 - $105,800 annually. Additionally, this role is eligible for a full range of benefit options listed above.