Quality Analytics Engineer

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.You'll have...Bachelor of Science degree in Mathematics, Statistics, Engineering, Computer Science, Data Analytics, or a related field.
0–2 years of experience in big-data analytics, data engineering, or a related analytics role.

Experience with query languages and platforms such as SQL, Google Big Query, Spark, or equivalent tools.

Demonstrated ability to analyze, manipulate, and communicate complex data in a clear, measurable, and business-relevant manner.

Strong data visualization and presentation skills.

Proven problem-solving ability, including the ability to break down complex issues and create actionable plans.

Strong leadership, collaboration, organizational, and project-management skills.

Excellent written, verbal, and interpersonal communication skills, including the ability to engage effectively with peers and senior leadership.

Self-motivated, adaptable, and able to prioritize multiple projects in a fast-paced, global environment.

Ability to perform with composure, technical competence, and sound judgment under pressure.

Even better, you may have...Master’s degree or higher in Mathematics, Statistics, Engineering, Computer Science, Data Analytics, or a related field.
2+ years of experience in big-data analytics, quality analytics, or a related field.

Two or more years of hands-on experience with SQL, Google Big Query, Spark, or similar query and data-processing technologies.

Experience ingesting and integrating large data sets from multiple sources using tools such as SQL, Python, Java, Alteryx, Qlik Sense, RStudio, Visual Studio, or similar platforms.

Strong Python programming experience and familiarity with AI-enabled development tools or workflows.

Experience building unified data sets, automated data pipelines, dashboards, and reporting solutions.

Knowledge of data management, data governance, and data-quality practices.

Experience with automotive systems, vehicle features, components, warranty data, connected-vehicle data, diagnostics, or quality processes.

Familiarity with Six Sigma, 8D, DMAIC, root-cause analysis, and corrective-action methodologies.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a change maker, a technical expert, a culture builder…or all of the above?

No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement,…