Quality Analytics Engineer

Ford • Dearborn, MI

3d • $65,100 - $166,200 • Hybrid

About The 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.

Requirements

• 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 BigQuery, 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.

Nice To Haves

• 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 BigQuery, 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.

Responsibilities

• Analyze warranty, connected-vehicle, diagnostic, and other quality data sources to identify emerging defect trends, potential quality escapes, and leading indicators.
• Partner with Product Development, Design and Release Engineering, Powerpack Quality Engineering, and other IPTSE teams to extract, summarize, and analyze data in support of root-cause investigations and corrective actions.
• Develop processes, tools, and methods to collect, manipulate, unify, and analyze large connected-vehicle data sets, including onboard diagnostic signals, vehicle speed, engine speed, warning lights, and other relevant indicators.
• Promote and apply Agile Data Collection methods and tools, including RDR, PARSED, CARMon, ADC Lua scripting, Data Canvas, Alteryx, macros, and related solutions.
• Automate end-to-end data flows for collection, anomaly detection, transformation, manipulation, and quality-metric delivery to improve throughput and consistency.
• Build dashboards, automated trend reports, executive-level presentations, and clear data visualizations that make complex findings understandable and actionable.
• Integrate AI capabilities into quality analytics workflows, including: Classifying warranty claims by failure mode, Summarizing customer verbatims, Identifying emerging defect trends and potential quality escapes, Supporting AI-assisted root-cause investigation summaries, Applying natural-language-processing techniques to predictive modeling.
• Develop and document effective data, AI, and analytics practices—including guidance on appropriate models and tools for varying project needs.
• Support Six Sigma, 8D, DMAIC, CPR, and other corrective-action processes through rigorous data analysis and evidence-based recommendations.
• Modernize Quality Methods documentation and help coach Powerpack Quality Engineers on data analytics tools, methods, and best practices.
• Serve as a key point of contact for Cloud-Assisted Diagnostics and ATIS/HTIS end-to-end integration activities.
• Transfer identified data issues, opportunities, and system improvements to the appropriate DRE, PRA, and supporting teams.
• Build strong, trusted relationships with business partners across Ford North American organizations.

Benefits

• 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, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level