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Paccar Winch Inc. Aftersales Data Analyst in Kirkland, Washington

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Date: Jun 20, 2024

Location: Kirkland, WA, US, 98033

Company: PACCAR

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 also designs and manufactures advanced diesel engines, provides financial services and information technology, and distributes 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.

Position Summary

Kenworth is looking for a person who enjoys data analysis and forecasting using Warranty, Remote Diagnostics, Service Management, and Field Service data. This position plays a key role in supporting warranty functions including cost analysis, warranty reduction, processing performance and improvement. This position is instrumental in helping Kenworth leaders make data-informed decisions.

Job Functions / Responsibilities

  • Serves as warranty subject matter expert (SME) for interactions with Field Service, Sales, Pricing, Marketing, Accounting, Fleets and KW Senior Management.

  • Create and maintain functionality of warranty analysis queries, tables, macros and database processes to ensure data availability for department members.

  • Develop Forecast models to predict future division warranty spend.

  • Supports data analysis for forecasting warranty spend based on product improvements and warranty coverages.

  • Provides warranty and policy analysis support to the Warranty team, Field Service team, and Pricing/Sales team.

  • Generates ad-hoc queries to support warranty analysis requests from internal/external stakeholders

  • Creates standardized reports based on trends, ongoing improvements, and feedback from Engineering, Field Service, and Sales.

  • Work with stakeholders throughout PACCAR to develop new analytics solutions, identify new data sources useful for analytics projects, and support analytics best practices.

  • Interact with Warranty team, Engineering, Connected Truck, and Field Service to support Fleet programs, and resolve warranty issues and high value warranty claims.

  • Create data visualizations and insights for bi-monthly warranty reviews with executive leadership using multiple databases/data sources.

  • Able to travel as needed (<10%)

  • Performs other duties as assigned.

    Qualifications & Skills

  • Bachelor’s Degree in information systems, computer science, finance, business administration or related field is required. MBA a plus.

  • Self-Directed team player with the ability to manage multiple objectives and delivery high quality results.

  • 6+ years industry or related experience required.

  • Strong Excel/Access Query/PowerPoint/MS Word knowledge required. Cloud database experience preferred.

  • Strong SQL knowledge/skills required.

  • Experience working with Tableau or Python desired.

  • Demonstrated ability to generate technical solutions based on business needs.

  • Good recall of detail and a mechanical aptitude.

  • Must be self-motivated and able to work in a fast paced just-in-time environment with rapidly changing objectives.

  • Must be able to accept responsibility for assigned projects and work effectively under general or minimal supervision.

  • Must be comfortable communicating with all levels within the organization.

    Why work for PACCAR/Kenworth?

  • Global Fortune 500 Company with a wide array of growth and development opportunities

  • Work alongside experienced goal-oriented colleagues recognized as experts in their fields

  • Support and/or design the commercial vehicles of the future with a focus on emerging technologies such as electric and autonomous trucks

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

  • 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 (additional days are provided with additional seniority/years of service), 12 paid holidays, and sick time

  • 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 programs

  • Life and accidental death and dismemberment insurance

  • EAP services include wellness plans, estate planning, financial counseling and more

    Additional Job Board Information

    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 the Aftersales Data Analyst is $84,000 - $131,700 annually. This position is also eligible for a holiday gift. Additionally, this role is eligible for the full range of benefit options listed above.

    PACCAR promotes equal employment opportunities by implementing policies and practices that ensure employees and applicants are not discriminated against because of their race, color, religious creed, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, mental or physical disability, medical condition, genetic information, military or veteran status or other legally protected status. This applies to recruitment, selection, placement, promotion, termination, rates of pay, and other conditions of employment.

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