Description
Our Marketing, Sales & Service organization advances the Ford reputation as a visionary vehicle and mobility services company and helps deliver a trusted customer experience. Use your marketing, sales and service expertise to turn data-driven insights into innovative solutions that enhance sales and customer loyalty. Join us and be the eyes, ears and voice of Ford.
As a Data Analyst, you will work at the intersection of business strategy and advanced analytics, translating complex datasets into predictive insights and automated decision-making frameworks. Your work will directly empower leadership and cross-functional partners to make smarter, faster, and more proactive decisions that drive operational excellence and shape the future of our customer experience.
Responsibilities
- Partner with data scientists, business owners, and database developers to formulate business problems, design analytical models, and deploy data-driven solutions.
- Build, validate, and optimize predictive and statistical models to uncover trends, conduct A/B testing, and enable precise audience segmentation.
- Create and publish automated reports, metrics, and visual dashboards using industry-standard tools such as Power BI and Looker to provide actionable insights to stakeholders.
- Proactively identify, troubleshoot, and resolve data anomalies or quality issues by collaborating with technical and business platform owners.
- Continuously evaluate data collection methods, reporting workflows, and delivery systems to improve efficiency, accuracy, and overall business value.
- Synthesize sophisticated datasets and analytical findings into clear, compelling presentations and strategic recommendations for non-technical leadership.
Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Management Information Systems, or a related quantitative field, or equivalent practical experience.
- Experience: Typically 3 or more years of professional experience in data, statistical, or business analysis.
- Technical Skills: Strong proficiency in SQL and programming languages like Python, R, or SAS for data manipulation and analysis.
- Cloud & Visualization Tools: Hands-on experience working within cloud environments such as Google Cloud Platform/GCP and utilizing data visualization platforms like Power BI, Looker, and Microsoft Excel.
- Analytical Capabilities: Solid understanding of statistical testing methodologies, A/B testing, and managing large, complex data structures.