Warranty Data Analyst I (Hybrid)

dtna

Portland (ME)

Hybride

USD 30 000 - 40 000

Plein temps

Il y a 6 jours
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Avantages offerts par ce poste

Annual bonus program
401k with company match
4 weeks vacation
13+ holidays
Parental leave
Healthcare plans
Onsite fitness
Tuition assistance
Volunteer PTO
Disability plans

Résumé du poste

Daimler Truck North America is seeking a Warranty Analyst in a hybrid role, with work locations including Detroit or Portland. You will review warranty claims, gather supporting data, and analyze trends to promote uptime and ease of doing business across 900+ locations.

The position emphasizes data-driven reporting, collaboration with engineering and suppliers, and ongoing process improvements to enhance product quality and service outcomes.

Qualifications

  • Requires a Bachelor’s Degree OR 4 years of warranty/analytics experience in lieu of degree
  • Basic understanding of DTNA vehicle components and operation
  • Ability to analyze information within standard procedures and meet deadlines
  • Attached resume required

Responsabilités

  • Review and process warranty claims by examining repair documentation and policy requirements.
  • Assist with warranty reviews by gathering claim information, repair data, and technical data.
  • Collect and summarize warranty and business data to support reporting and KPI tracking.
  • Prepare routine reports, dashboards, and KPIs to monitor warranty performance and trends.
  • Support collaboration with Service Engineering, dealerships, suppliers, and internal partners.
  • Utilize BI/reporting tools to maintain data and support basic analysis and decision making.

Connaissances

Warranty analytics
Data analysis
Cross-functional collaboration
Problem solving
Communication

Formation

Bachelor's degree or 4 years experience

Outils

Tableau
OWL
FIDAT

Description du poste

Daimler Truck North America is seeking a Warranty Analyst in a hybrid role, with work locations including Detroit or Portland. You will review warranty claims, gather supporting data, and analyze trends to promote uptime and ease of doing business across 900+ locations.

The position emphasizes data-driven reporting, collaboration with engineering and suppliers, and ongoing process improvements to enhance product quality and service outcomes.

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