Job description

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. What You’ll Do • 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. 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 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. 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 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. 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 changemaker, 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, 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. This position is a salary grade 6 to salary grade 8 and ranges from $65,100-$166,200. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: fordcareers.co Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. This position is hybrid with a requirement to be onsite four or more days per week. #LI-Hybrid #LI-DE2 #VehicleHardwareEngineering

Requirements

Must-haves

In this position...
What You’ll Do
Analyze warranty, connected-vehicle, diagnostic, and other quality data sources to identify emerging defect trends, potential quality escapes, and leading 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.
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 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.

Nice-to-haves

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Application prep

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Keywords to mirror

sqlpythonaiagilejava

Platform: eightfold
Effort: medium

Benefits

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Dental

Vision

Paid Time Off

Parental Leave