Warranty Claims Analyst – Data-Driven Auto Support

PACCAR; Kirkland (WA); On-site; USD 71,000 - 106,000; Full time

Benefits offered by this job

401k with company match

Pension plan

Paid time off

Tuition reimbursement

Medical, dental, vision

FSA/HSA

Job summary

PACCAR/Kenworth is seeking a Warranty Claims Analyst to review and process warranty claims, coordinating with internal teams to resolve issues. You will use SQL and dashboards in Snowflake or Tableau to monitor performance and support claims goals.

The role requires 2–3+ years of experience, strong communication skills, and the ability to handle large data volumes in a fast-paced environment. Some travel (<5%) may be required.

Qualifications

• Bachelor's degree preferred; equivalent experience considered.
• 2–3+ years of claims or warranty experience preferred.
• Ability to create ad-hoc SQL queries and dashboards to support claims goals.
• Strong communication and negotiation skills; proficient MS Word/Excel/PowerPoint/Access.
• Comfort with large volumes of data and data-driven analysis.
• Automotive or dealership service exposure is a plus.

Responsibilities

• Review and process warranty claims and related information.
• Collaborate with Supplier Recovery, Engineering, and Quality to resolve claims per guidelines.
• Provide best-in-class support to Kenworth dealers and fleet customers regularly.
• Serve as SME for assigned Business Unit responsibilities and travel <5%.
• Ensure accurate invoicing and reconciliation of warranty costs.

Skills

SQL queries

Dashboarding

Communication skills

Excel

PowerPoint

Access

Mechanical aptitude

Fast-paced environment

Self-motivation

Data analysis

Organizational skills

Education

Bachelor's degree preferred

Tools

Snowflake

Tableau

Job description

PACCAR/Kenworth is seeking a Warranty Claims Analyst to review and process warranty claims, coordinating with internal teams to resolve issues. You will use SQL and dashboards in Snowflake or Tableau to monitor performance and support claims goals.

The role requires 2–3+ years of experience, strong communication skills, and the ability to handle large data volumes in a fast-paced environment. Some travel (<5%) may be required.