Quality Analytics Analyst

Ford Motor Company • Dearborn, MI

1d • Onsite

About The Position

We made history and now we work to transform the future – for our customers, our
communities and our families. You'll see your work on the road every day,
helping people move freely and pursue their dreams. At Ford, you can build more
than vehicles. Come build what matters.

The Customer Experience (CX) team delivers owner and user experiences that save
time, improve lives, and create personal connections. We strive to build
lifelong relationships and turn customers into brand advocates by ensuring they
are treated like family.

In this position... 

The Quality Data Analytics Lead located in Dearborn, MI, United States, within
the Ford Customer Service Division. The role is critical for identifying
potential emerging issues that could lead to "no service fix" scenarios in the
field and is aimed at significantly reducing warranty spend. The overarching
mission is to contribute to Ford's commitment to building a better world by
improving vehicle quality.

As a Quality Data Analytics Lead, you will be responsible for a range of key
activities focused on innovation and proactive problem-solving in quality
processes. This includes:

Responsibilities

• Innovating Quality Processes: Playing a central role in developing capabilities for the early detection of previously unknown quality issues.
• Leading Issue Resolution: Spearheading the development of business cases and action plans for addressing top-priority and emerging quality concerns.
• Cross-Functional Collaboration: Acting as a crucial link between Engineering, Quality, and Service Engineering operations. Your role will involve ensuring that root-cause hypotheses are thoroughly validated and that permanent corrective actions (PCAs) are implemented swiftly.
• Data Analysis and Identification: Working closely with data scientists to extract, summarize, and analyze data from diverse sources to pinpoint trending quality issues. You will also independently perform these tasks to identify potential root causes.
• In-Depth Investigations: Collaborating with both internal and external partners to conduct detailed analyses of vehicle conditions, ultimately determining the root cause, scope, and impact of identified problems.
• Advanced Analytical Techniques: Utilizing statistical analysis, data mining techniques, and visualization tools to uncover patterns and anomalies within the data.
• Operationalizing Proactive Measures: Implementing and managing "Field Intelligence" and "Command Center" frameworks. These frameworks are designed to proactively triage at-risk repairs and prevent breaches of Service Level Agreements (SLAs), specifically targeting "29-day containment escapes."
• Performance Tracking: Developing and maintaining comprehensive dashboards and reports to monitor key performance indicators (KPIs) and track emerging issues.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed