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!
Requisition Summary
This position serves as a trusted analytics expert, responsible for providing PACCAR Financial Corp (PFC) with Business Intelligence and Advanced Data Analytics/Data Science across functional areas of Sales & Marketing, Used Equipment Sales, and Credit. This position is responsible for applying a detailed understanding of PFC processes and systems, sourcing data from a wide range of data platforms, integrating relevant data to support business requirements, and developing analytic products that enhance business efficiency.
Success in this role will hinge on your curiosity, ability to work well in ambiguity, a passion for learning, and adept analytic technical skills.
Job Functions / Responsibilities
- Contribute to Data Science initiatives by providing robust analysis and developing analytic tools focusing on pricing optimization, product development, risk identification, and customer identification within a complex environment
- Deliver timely, relevant, and accurate analytic results to business users at all levels
- Employ appropriate AI/ML Algorithms in creation and employment of models that support PFC’s strategic initiatives for pricing, customer identificati