Quality Analyst

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

As part of our Manufacturing team, you'll help build the world-class, state-of-the-art smart vehicles we're known for. In our plants around the world, we're constantly developing new technologies and processes to further increase our efficiency. You'll get the satisfaction of making great products people use and love.

In this position...

• Design, develop, and maintain analytics tools that support Quality teams and enterprise customers.
• Analyze diverse quality data sources to uncover trends, monitor performance, and support strategic initiatives.
• Partner with Ford IT, business stakeholders, and external customers to manage quality applications, resolve issues, and implement enhancements.

Quality Data Analyst

What you'll do...

• Deep Data Analysis: Dive into internal and external data sources to uncover emerging trends, critical patterns, and any anomalies that need attention.
• Data Quality Assurance: Ensure the accuracy and completeness of our data sources, metrics, and reports - because reliable insights start with reliable data.
• Impactful Insights Reporting: Transform complex findings into clear, comprehensive reports that effectively communicate key insights and their potential business impact.
• Engaging Visualizations: Design and build compelling data visualizations that connect disparate data points, making weekly KPI status easy to understand at a glance.
• Process Enhancement: Document, streamline, and identify areas for automation within our processes to improve reaction times to KPIs, boost efficiency, minimize errors, and maintain data integrity.
• Quality Systems Management: Partner strategically with IT and Operating teams to manage requests for system enhancements, investigation of data quality issues and issue remediation and maintenance and delivery of training and supporting system documentation
• KPI Measurement Leadership: Take the lead in identifying and implementing new tools and data sources to refine how we measure our Key Performance Indicators, including establishing robust closed-loop feedback systems.
• Cross-functional Collaboration: Partner daily with functional teams to proactively identify and address gaps or errors in both our data and our processes.

What you'll do...

• Deep Data Analysis: Dive into internal and external data sources to uncover emerging trends, critical patterns, and any anomalies that need attention.
• Data Quality Assurance: Ensure the accuracy and completeness of our data sources, metrics, and reports - because reliable insights start with reliable data.
• Impactful Insights Reporting: Transform complex findings into clear, comprehensive reports that effectively communicate key insights and their potential business impact.
• Engaging Visualizations: Design and build compelling data visualizations that connect disparate data points, making weekly KPI status easy to understand at a glance.
• Process Enhancement: Document, streamline, and identify areas for automation within our processes to improve reaction times to KPIs, boost efficiency, minimize errors, and maintain data integrity.
• Quality Systems Management: Partner strategically with IT and Operating teams to manage requests for system enhancements, investigation of data quality issues and issue remediation and maintenance and delivery of training and supporting system documentation
• KPI Measurement Leadership: Take the lead in identifying and implementing new tools and data sources to refine how we measure our Key Performance Indicators, including establishing robust closed-loop feedback systems.
• Cross-functional Collaboration: Partner daily with functional teams to proactively identify and address gaps or errors in both our data and our processes.