Warranty Data Administration Analyst

Our client, a Automotive company, is looking for a Warranty Data Administration Analyst for their Redford, MI/Hybrid location.

Responsibilities:

• Analyzes data and develops reports on the overall performance of business segments; develops metrics to measure various characteristics of the business
• Analyze technical warranty issues by gathering and reviewing warranty/service, documentation, vehicle/engine/exhaust aftertreatment design details and dealership diagnostic and repair practices.
• Assist in failure analysis through examination and testing of failed engine/exhaust aftertreatment system components.
• Assist in developing and documenting reliable and comprehensive warranty test and evaluation procedures.
• Assist in providing technical analysis and coordination for onsite joint inspections with the component supplier.
• Interface with repair facilities to assist in resolving warranty claim issues.
• Assist in technical warranty claim appeals and assign responsibility.
• Assist in developing technical component warranty evaluation documentation consistent with service and warranty documentation.
• Assist in coordinating with Service Engineering to ensure proper failure diagnostics.
• Interface with internal departments, repair facilities and suppliers to gather information, report findings and develop documentation.
• Attend meetings, as required, to assist in gathering information, reporting findings and assist in the decision making process concerning warranty claims issues.
• Combines a good level of understanding on how business operates with analytical ability to sift effectively through data available, overlaying all this with the technical competency to illustrate this analysis to stakeholders and the wider business
• Utilize methods of combining charts, maps, timelines and infographics into comprehensible dashboards; may create visualizations of data sets in a user-friendly and easy-to-understand way to facilitate business decision making
• The analyst will spend approximately half of each day processing warranty claims and the other half engaged in data analysis and problem-solving. This includes reviewing workshop manuals, evaluating warranty spend data, working with AI and analytical tools, and collaborating with service, quality, and engineering teams. The work environment is office-based and hybrid, with a collaborative team dynamic. No two days are identical - the role offers consistent variety and meaningful cross-functional exposure.

Requirements:

• This is an entry-level role. Candidates with 0-2 years of experience are encouraged to apply, and relevant internship or academic experience will be considered. A bachelor's degree is preferred but not required.
• The manager is looking for candidates with a data-driven mindset and hands-on experience with data tools - specifically Tableau, Power BI, and Snowflake. Technical knowledge of or genuine curiosity about how engines, machines, or mechanical systems work is a meaningful differentiator. Hobbyists' experience in this area is absolutely applicable and worth highlighting. The manager has specifically noted interest in candidates whose resumes or interview responses reflect a drive to understand how things work.
• Strong collaboration skills and a continuous improvement mindset are important. The ability to identify inefficiencies and contribute to problem-solving within a team environment is valued as much as technical skill.
• Warranty data touches every part of the business - which means this analyst will have visibility into product performance, service operations, and engineering decisions in a way that few entry-level roles can offer. The team is collaborative and energetic, and the work provides genuine opportunities to identify problems, drive improvements, and make a measurable impact. For a candidate who is data-curious and mechanically minded, this is an excellent entry point into a well-established organization with room to grow. The manager is also actively working with AI and analytical tools, giving the right candidate early exposure to emerging technologies in a real-world manufacturing context.
• Tableau experience and proficiency.
• A collaborative mindset with a demonstrated ability to identify efficiencies and contribute to problem-solving in a team environment.
• Understanding of data tools. For example: Power BI or Snowflake

Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities