Auditor – Data Analytics, Automation & Insights

The Future is Made by You: Ready, Set, Ford At Ford, we are not just a car company; we are a movement. We are undergoing a massive transformation to lead the electric and digital revolution. This requires a culture of speed, purpose, and—above all—integrity. Our Ready, Set, Ford mindset means we are prepared for the challenges of tomorrow, we are set on our goals of innovation and belonging, and we are moving forward together.

Our Internal Audit organization is looking for a technically strong and analytically rigorous professional to join the team as an Internal Auditor – Data Analytics, Automation & Insights . This role will serve as a key analytics resource within operational audits, supporting the extraction, transformation, validation, analysis, and visualization of large and complex datasets to evaluate the integrity, completeness, accuracy, and reliability of information used in business processes and controls.

This position is ideal for a candidate who combines a strong audit mindset with applied expertise in data analytics, statistical methods, automation, and digital tools . The selected candidate will partner closely with auditors and business stakeholders to strengthen audit coverage, support data-driven assurance, assess significant exceptions, and improve the efficiency of Internal Audit processes through scalable analytics, dashboarding, workflow automation, and AI-enabled solutions.

Bachelor’s degree in Mathematics, Statistics, Data Analytics, Data Science, Computer Science, Artificial Intelligence, Machine Learning, Actuarial Science, Information Systems, or another field with strong quantitative and technical foundations, such as Finance, Engineering, or Supply Chain.

Fluent English proficiency , spoken and written, is required for meetings and collaboration with auditors and clients from different regions.

Experience with Python, SQL, Power BI, Power Query, Power Apps, Qlik Sense, Alteryx, Tableau, or similar analytics and automation tools.

Experience with d ata extraction, data preparation, data transformation, data reconciliation, and data visualization across large and complex datasets.

Proficiency with Microsoft Office 365 tools, including Excel, SharePoint, and OneDrive.

Experience with internal controls and auditing concepts is not required; training opportunities will be provided to all Internal Audit team members.

Even better, you may have...

Experience with internal audit, operational audit, risk management, internal controls, compliance, or assurance-related activities.

Experience working with enterprise data sources, relational databases, and operational or financial systems to support investigations, reconciliations, control testing, or process reviews.

Experience developing automated workflows, dashboards, low-code applications, or repeatable analytics solutions using Power Platform or similar technologies.

Knowledge of statistical modeling, forecasting, regression, clustering, exception-based testing, or other quantitative techniques applicable to business process reviews.

Familiarity with AI-enabled tools, generative AI, machine learning, or predictive analytics in business environments, particularly where they support analytics, automation, efficiency, or insight generation.

CIA, IAP, CISA, or similar certification is a plus.

DISCLAIMER: Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability. #LI-JRA

• Risk-Based Auditing: Execute the full audit lifecycle—from planning to reporting—using risk-based methodologies to evaluate business processes and enhance operational controls.
• Data Partnership: Act as a strategic technical resource, collaborating with cross-functional teams to define data requirements and align analytical procedures with audit objectives.
• End-to-End Data Management: Extract, cleanse, and transform large datasets from multiple systems, ensuring the integrity, accuracy, and traceability of information used for audit conclusions.
• Automation & Visualization: Build and maintain automated workflows, reusable scripts, and interactive dashboards using Python, SQL, Power BI, Alteryx, and Power Apps to scale audit activities.
• Advanced Analytics & AI: Apply statistical modeling and explore AI/Machine Learning tools to perform population-level testing, identify exceptions, and generate deeper business insights.
• Strategic Communication: Translate complex data findings into clear audit observations and root-cause analyses, presenting actionable recommendations to senior management.
• Process Optimization: Document analytical logic in a structured manner and identify opportunities to streamline Internal Audit workflows, supporting a lean and digitally-driven operating model.
• Professional Growth & Mobility: Participate in global audits (some travel required) and take advantage of company-sponsored certification programs, such as the Certified Internal Auditor (CIA) .