Global Fleet Data Analyst — Automotive Industry

🏢 ABOUT THE COMPANY

Ford is a multinational American automaker that was founded in 1903 by Henry Ford. As one of the world's largest automakers, our mission is to drive human progress through high-quality, safe, and innovative vehicles and mobility solutions. We have a global presence with over 100,000 employees and a commitment to creating a more sustainable and connected world. Our company culture values innovation, teamwork, and customer satisfaction.

🎯 ROLE OVERVIEW

As a Global Fleet Data Analyst at Ford, you will play a critical role in analyzing and interpreting data to inform fleet management decisions. You will work closely with our global fleet operations team to identify trends, optimize fleet performance, and implement data-driven solutions to drive business growth. You will report directly to the Fleet Operations Manager and collaborate with cross-functional teams to drive business results.

📋 KEY RESPONSIBILITIES

- Anallyze large datasets to identify trends and insights that inform fleet management decisions - Develop and maintain data visualizations and reports to support fleet operations - Collaborate with cross-functional teams to implement data-driven solutions to drive business growth - Provide data-driven recommendations to optimize fleet performance and reduce costs - Develop and maintain relationships with key stakeholders to ensure data needs are met - Conduct root cause analysis to identify and resolve data quality issues - Collaborate with the data team to develop and maintain data governance policies and procedures - Develop and maintain dashboards and reports to support fleet operations - Develop and maintain data visualizations to communicate insights to stakeholders - Collaborate with the business intelligence team to integrate data into enterprise-wide reporting - Develop and maintain data models to support predictive analytics and machine learning use cases - Develop and maintain data pipelines to support data warehousing and reporting - Collaborate with the data engineering team to develop and maintain data pipelines and architectures - Develop and maintain data governance policies and procedures to ensure data quality and integrity - Collaborate with the business operations team to develop and maintain business process automation - Develop and maintain reports to support business operations

✅ REQUIRED QUALIFICATIONS

- 5+ years of experience in data analysis or a related field - Bachelor's degree in a quantitative field (e.g. math, statistics, computer science) - Advanced degree in a quantitative field (e.g. Master's, Ph.D.) - Proficiency in data analysis and visualization tools (e.g. Excel, Tableau, Power BI) - Proficiency in programming languages (e.g. Python, R, SQL) - Experience with data governance and data quality best practices - Experience with data warehousing and business intelligence - Excellent communication and presentation skills - Strong analytical and problem-solving skills - Ability to work in a fast-paced, dynamic environment - Ability to work with diverse stakeholders and teams - Experience with cloud-based data platforms (e.g. AWS, Azure) - Experience with containerization and orchestration (e.g. Docker, Kubernetes) - Experience with machine learning and predictive analytics - Experience with data science and data engineering

⭐ PREFERRED QUALIFICATIONS

- Master's degree in a quantitative field (e.g. computer science, math, statistics) - 2+ years of experience in leading data analysis projects - 2+ years of experience in developing and maintaining data governance policies and procedures - 2+ years of experience in developing and maintaining data pipelines and architectures - 2+ years of experience in developing and maintaining data models for predictive analytics and machine learning use cases - 2+ years of experience in developing and maintaining business process automation - 2+ years of experience in working with diverse stakeholders and teams - Experience with cloud-based data platforms (e.g. AWS, Azure) - Experience with containerization and orchestration (e.g. Docker, Kubernetes) - Experience with machine learning and predictive analytics - Experience with data science and data engineering

💰 WHAT WE OFFER

As a Global Fleet Data Analyst at Ford, you will receive a competitive salary range of €55,000 - €75,000 per year, depending on your experience and qualifications. You will also receive comprehensive health insurance, a retirement plan, and 25 days of paid vacation per year. We offer a learning and development budget to support your professional growth and a flexible remote work policy to support your work-life balance. Our team culture values collaboration, innovation, and customer satisfaction, and we are committed to creating a more sustainable and connected world.

👥 ABOUT THE TEAM

Our global fleet operations team is a dynamic and diverse group of professionals who are passionate about delivering exceptional customer experiences and driving business growth. We work closely together to identify trends, optimize fleet performance, and implement data-driven solutions to drive business results. We are committed to creating a more sustainable and connected world and are looking for talented individuals to join our team.

📨 HOW TO APPLY

To apply for this position, please submit your resume and a cover letter explaining your qualifications and experience. We expect to review applications within 1-2 weeks of receipt. Please note that only qualified candidates will be contacted for an interview.

📋 Job Details

📨 How to Apply

Submit your updated CV and a brief cover letter to Ford. Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted within 2 weeks of applying.