Data & Analytics Analyst

Are you someone with a relentless drive for perfection, always seeking to make things better? If so, you'll find a kindred spirit in Ford Quality. We're passionate about continuous improvement, constantly striving to deliver the highest quality products and services our customers deserve.

Join us and become a key player in driving operational excellence. You'll contribute to innovative, proprietary initiatives like our Global Product Development System, Quality Operating System, and New Model Launch processes. This role offers fantastic cross-functional exposure, as you'll collaborate closely with integrated teams across Manufacturing, Product Development, Purchasing, Marketing, Sales, and Service.

In this exciting role, you'll:

You'll be at the heart of our data-driven decision-making, analyzing vast amounts of data to pinpoint opportunities for improvement. Your insights will directly enhance quality performance and elevate the customer experience with our products. We truly believe that data holds immense power to help us create exceptional products and experiences that delight our customers. By providing actionable, persistent insights from a high-quality data platform, you'll empower our business and engineering teams to make even more impactful decisions.

What you'll bring to the table:

• Education: A bachelor’s degree in computer science, Physics, Mathematics, Electrical Engineering, or a closely related quantitative field.
• Analytical Prowess: At least 3 years of hands-on experience in analytical and data analysis roles, demonstrating a strong command of data manipulation and interpretation.
• Technical Toolkit: A minimum of 1 year of experience utilizing Visual Basic for Applications (VBA) Macro, SQL, and GCP Cloud for data processing and automation.
• Visualization Expertise: At least 1 year of experience with Alteryx and Qlik Sense/Looker Studio to create insightful data visualizations and dashboards.
• Office Automation: A minimum of 1 year of experience automating tasks and processes within the Microsoft Office Suite (Excel, PowerPoint, Word).

Even better, you may also have:

• Advanced Degree: A master’s degree in computer science, Physics, Mathematics, Electrical Engineering, or a related field.
• Agile Experience: Familiarity with agile toolsets like JIRA for project management and collaboration.
• Industry Insight: Knowledge of the vehicle/quality ecosystem and understanding relevant data sources within the automotive industry.
• Proven Impact: Demonstrated success in applying analytical methods that have led to measurable positive impacts on product development, business strategy, or overall company performance.
• Exceptional Communication: You're self-motivated with excellent verbal and written communication skills, capable of presenting complex data clearly and concisely to diverse audiences.
• Core Strengths: Highly credible organizational, time management, decision-making, and problem-solving skills.
• Certification: A Six Sigma Green Belt or Black Belt certification would be a fantastic bonus.

Here's a glimpse of what you'll be doing:

• 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.
• 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.