Quality Analytics Engineer

Location: Dearborn, MI, United States; Hybrid

In this position...

Ford IPTSE Quality is seeking a Quality Analytics Engineer to support data-driven quality improvement across propulsion and thermal systems. This role analyzes warranty, connected-vehicle, diagnostic, and other quality data to identify emerging issues, support root-cause investigations, and deliver actionable insights to engineering teams and leadership.

The ideal candidate has experience with big-data analytics, SQL, Python, data visualization, and automated data pipelines. Responsibilities include developing dashboards and reports, automating data collection and anomaly detection, applying AI and natural-language-processing tools to quality workflows, and supporting corrective-action processes such as Six Sigma, 8D, and DMAIC.

 

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. Product Development uses design thinking & user experience methods to deliver breakthrough products and services that delight our customers. We bring innovative, exciting, and sustainable ideas to life. We have opportunities around the world for you to contribute to advancements in autonomy, electrification, smart mobility technologies, and more!