Quality Analytics Analyst

Ford Motor • Dearborn, MI

1d • $84,480 - $162,120 • Hybrid

About The Position

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. The Customer Experience (CX) team delivers owner and user experiences that save time, improve lives, and create personal connections. We strive to build lifelong relationships and turn customers into brand advocates by ensuring they are treated like family. In this position... The Quality Data Analytics Lead located in Dearborn, MI, United States, within the Ford Customer Service Division. The role is critical for identifying potential emerging issues that could lead to "no service fix" scenarios in the field and is aimed at significantly reducing warranty spend. The overarching mission is to contribute to Ford's commitment to building a better world by improving vehicle quality. As a Quality Data Analytics Lead, you will be responsible for a range of key activities focused on innovation and proactive problem-solving in quality processes. This includes: Innovating Quality Processes: Playing a central role in developing capabilities for the early detection of previously unknown quality issues. Leading Issue Resolution: Spearheading the development of business cases and action plans for addressing top-priority and emerging quality concerns. Cross-Functional Collaboration: Acting as a crucial link between Engineering, Quality, and Service Engineering operations. Your role will involve ensuring that root-cause hypotheses are thoroughly validated and that permanent corrective actions (PCAs) are implemented swiftly. Data Analysis and Identification: Working closely with data scientists to extract, summarize, and analyze data from diverse sources to pinpoint trending quality issues. You will also independently perform these tasks to identify potential root causes. In-Depth Investigations: Collaborating with both internal and external partners to conduct detailed analyses of vehicle conditions, ultimately determining the root cause, scope, and impact of identified problems. Advanced Analytical Techniques: Utilizing statistical analysis, data mining techniques, and visualization tools to uncover patterns and anomalies within the data. Operationalizing Proactive Measures: Implementing and managing "Field Intelligence" and "Command Center" frameworks. These frameworks are designed to proactively triage at-risk repairs and prevent breaches of Service Level Agreements (SLAs), specifically targeting "29-day containment escapes." Performance Tracking: Developing and maintaining comprehensive dashboards and reports to monitor key performance indicators (KPIs) and track emerging issues.

Requirements

• A Bachelor's degree in engineering, automotive, statistics, or a related field.
• Overall knowledge of vehicle systems & operations.
• A strong understanding of diagnostics and repair procedures.
• Exceptional problem-solving ability.
• Strong interpersonal skills to effectively collaborate across different areas of the company.
• Solid written and verbal communication skills to regularly convey project status and results.
• The ability to work independently with minimal supervision.
• Strong project management skills, including the capability to organize and manage numerous projects simultaneously from their inception and feasibility stages through to implementation.
• Knowledge of quality management principles and practices.

Nice To Haves

• Previous automotive and/or quality analysis experience.
• Proficiency in the use of established problem-solving tools such as Six Sigma, 8D, and 5 Why.
• A self-starter attitude with the ability to be self-directed in a high-volume, fast-paced environment.
• 5+ years of working experience in the automotive industry.

Responsibilities

• Play a key role in innovating our quality processes by developing capabilities for early detection of unknown issues.
• Lead development of business cases and action plans for top issues or emerging issues.
• Act as a key bridge between Engineering, Quality, Service Engineering operations to ensure root-cause hypotheses are validated and permanent corrective actions (PCA) are deployed rapidly.
• Work with data scientists to extract, summarize and analyze data from multiple data sources to identify trending quality issues.
• Collaborate with internal and external partners to conduct in-depth analyses of vehicle conditions, determining the root cause, scope, and impact.
• Extract, summarize, and analyze data from multiple sources to identify trending quality issues and potential root causes.
• Utilize statistical analysis, data mining techniques, and visualization tools to identify patterns and anomalies in data.
• Operationalize the "Field Intelligence" and "Command Center" frameworks to proactively triage at-risk repairs and prevent Service Level Agreement (SLA) breaches, specifically targeting 29-day containment escapes.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) and emerging issues.
• Support continuous improvement initiatives.

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: Mid Level
• Number of Employees: 5,001-10,000 employees