Quality Analytics Engineer

Ford Motor Company

. Analyze warranty, connected-vehicle, diagnostic, and other quality data to identify emerging defect trends, potential quality escapes, and leading indicators .

Posted 9/29/2026full-timeDearborn • Michigan • United StatesJuniorMid-Level💰 $65,100 - $166,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in big-data analytics, data engineering, and quality analytics, with strong capabilities in SQL, Python, and data visualization. Proficient in applying Agile methodologies and developing automated data pipelines and dashboards to support quality improvement initiatives.

Highest-signal resume keywords

Big-Data AnalyticsSQL ProgrammingData VisualizationPython ProgrammingAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ManipulationPredictive ModelingRoot-Cause AnalysisData Quality PracticesData GovernanceAutomated Data PipelinesDashboard DevelopmentStatistical AnalysisNatural Language Processing

Soft Skills

Problem-SolvingLeadershipCollaborationOrganizational SkillsCommunication Skills

Tools & Technologies

Google BigQuerySparkAlteryxQlik SenseRStudioVisual StudioData CanvasADC Lua ScriptingMacrosAgile Data Collection Tools

Industry Keywords

Automotive SystemsWarranty DataConnected-Vehicle DataQuality ProcessesSix Sigma8DDMAICCorrective Action

Tech Stack

Tools & technologies

BigQueryCloudJavaLuaPythonSparkSQL

About the role

Key responsibilities & impact

Analyze warranty, connected-vehicle, diagnostic, and other quality data 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 on root-cause investigations and corrective actions
Develop processes, tools, and methods to collect, manipulate, unify, and analyze large connected-vehicle data sets
Promote and apply Agile Data Collection methods and tools, including RDR, PARSED, CARMon, ADC Lua scripting, Data Canvas, Alteryx, and macros
Automate end-to-end data flows for collection, anomaly detection, transformation, manipulation, and quality-metric delivery
Build dashboards, automated trend reports, executive-level presentations, and clear data visualizations
Classify warranty claims by failure mode
Summarize customer verbatims
Identify emerging defect trends and potential quality escapes
Support AI-assisted root-cause investigation summaries
Apply natural-language-processing techniques to predictive modeling
Develop and document data, AI, and analytics practices
Support Six Sigma, 8D, DMAIC, CPR, and other corrective-action processes
Modernize Quality Methods documentation and coach Powerpack Quality Engineers
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 appropriate teams
Build relationships with business partners across Ford North American organizations

Requirements

What you’ll need

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
Ability to analyze, manipulate, and communicate complex data in a clear, measurable, and business-relevant manner
Strong data visualization and presentation skills
Problem-solving ability, including breaking down complex issues and creating actionable plans
Leadership, collaboration, organizational, and project-management skills
Excellent written, verbal, and interpersonal communication skills
Ability to engage effectively with peers and senior leadership
Ability to prioritize multiple projects in a fast-paced, global environment
Ability to perform with composure, technical competence, and sound judgment under pressure
Visa sponsorship is not available
Must be legally authorized to work in the United States
Master’s degree or higher in a relevant field is preferred
2+ years of experience in big-data analytics, quality analytics, or a related field is preferred
Hands-on experience with SQL, Google BigQuery, Spark, or similar query and data-processing technologies is preferred
Experience with SQL, Python, Java, Alteryx, Qlik Sense, RStudio, Visual Studio, or similar platforms is preferred
Strong Python programming experience and familiarity with AI-enabled development tools or workflows is preferred
Experience building unified data sets, automated data pipelines, dashboards, and reporting solutions is preferred
Knowledge of data management, data governance, and data-quality practices is preferred
Experience with automotive systems, vehicle features, warranty data, connected-vehicle data, diagnostics, or quality processes is preferred
Familiarity with Six Sigma, 8D, DMAIC, root-cause analysis, and corrective-action methodologies is preferred

Benefits

Comp & perks

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
Adoption and surrogacy expense reimbursement
Fertility treatments
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off
Option to purchase additional vacation time