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Data Analyst

Job in Bellevue, King County, Washington, 98009, USA
Listing for: PACCAR
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 81000 - 121000 USD Yearly USD 81000.00 121000.00 YEAR
Job Description & How to Apply Below
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 identification, rate setting, and other business processes
    • Identify, analyze, and interpret trends and patterns in complex data sets
    • Develop high-performance SQL queries to support reporting and analysis
    • Create and support executive-level dashboards using Tableau
    • Provide rapid responses to ad-hoc analytic requests
  • Enhance the value of PFC’s data assets
    • Maintain expertise in emerging technologies and analytic tools
    • Expand the department’s analytic capacity by developing automated deployment pipelines, APIs, and data processing applications using on-premises and cloud-based tools
    • Maintain strong working relationships with IT departments and regional finance offices to facilitate adoption of digital transformation initiatives
    • Develop and present data science solutions to senior managers and executives
  • Support PFC initiatives as an integral member of an effective cross-functional analytics team
  • Develop and implement process improvements leveraging AI to enhance data analysis and modeling capabilities, increasing the speed, accuracy, and efficiency of our work.
Qualifications & Skills
  • Bachelor’s degree in Business Analytics/Intelligence, Data Science, Statistics, Computer Science or related field
  • Minimum 3 years of experience in a professional or corporate setting
  • Proficiency with analytic programming languages (R, Python)
  • Strong business acumen and communication skills
  • Understands and can apply foundational statistical concepts, and apply appropriate techniques to analyze data and generate useful business insights
  • Highly-motivated self-directed learner with a creative mind, insatiable curiosity, and meticulous attention to detail
  • Understanding of data warehousing concepts and development…
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