Description
The SE&O; Analytics Team within Ford Customer Service Division’s Service Engineering & Operations (SE&O;) is looking for a highly skilled Data Analytics Analyst to assist in all levels of problem formulation, model development, evaluation, and deployment. You will have the opportunity to partner with the business to drive the transformation of Ford using data.

The SE&O; Analytics team is under the Global Technical Operations & Quality (GTOQ) team. The SE&O; Analytics team leads the strategic vision and execution for SE&O;’s analytics and Artificial Intelligence (AI) capabilities, establishing the team as the enterprise hub for data-driven innovation within the organization. Our core mission is to transform operational effectiveness by delivering predictive insights, enabling automated decision support, and fostering smarter, faster operations across all functions.

Responsibilities
The Data Analytics Analyst is responsible for leading end-to-end data analysis on projects. This individual will partner with the senior data scientist, business owners, database developers,



and strategy partners in crafting comprehensive analysis. You will be reporting on performance inclusive of insights and recommendations. The ideal candidate must be a self-starter and a quick learner with a desire to learn recent tools and techniques. Success in this position greatly depends on your ability to assess data, business objectives/processes, and the ability to deliver both explicit and meaningful insights while developing team-oriented working relationships with team members across the organization.

Qualifications
Minimum 3+data/statistical analysis.
Highly proficient in utilizing SQL, SAS, Python, and R to manipulate, arrange, query, and present data
Experience working in Google Cloud Platform (GCP)
Experience utilizing Power BI, Looker, Microsoft Excel, and PowerPoint to present data
Familiarity with large data structures
Knowledge of statistical testing methodology
Cre

📌 Data Scientist Chennai (India)
🏢 Ford Motor
📍 India