About Us
Ford Global Career Site is a distinguished leader in the automotive and mobility sectors, renowned worldwide for its commitment to innovation, quality, and sustainability. With a strong presence in India and across the globe, Ford continues to drive transformation through cutting-edge data analytics and technology solutions. As a company, Ford is dedicated to fostering a culture that embraces collaboration, continuous learning, and the advancement of its workforce.
At Ford, innovation is more than just a buzzword — it’s embedded in every project and decision, empowering employees to solve complex business challenges in a fast-paced, data-driven environment. Our inclusive culture supports diverse perspectives and encourages individuals to grow both personally and professionally. Employees here contribute meaningfully to the future of mobility by leveraging technology to improve customer experiences and promote sustainable practices. Joining Ford means being part of a forward-thinking global community committed to making an impact that matters.
Job Details
Job Title: Data Business Analyst
Job ID: 49047
Location: Chennai, Tamil Nadu (Hybrid)
Employment Type: Full-Time
Batch: Not applicable
Experience: 2-3 Years
Salary: As per Industry Standards
Qualification: Master’s Degree in IT, Analytics, or a related field
Certifications: Not mandatory
🔥 Don’t Miss
Key Responsibilities
🔥 Don’t Miss
As a Data Business Analyst within Ford’s Global Data Insight & Analytics (GDIA) Credit Analytics team, you will play a critical role in the end-to-end lifecycle of predictive modeling and risk strategy deployment on a global scale. Your work will directly influence how Ford manages credit risks and delivers value through data-driven insights.
Your key responsibilities will include:
Implementation, Testing, and Deployment: Lead the execution of predictive models and risk strategies, ensuring they are effectively deployed across multiple global platforms with high quality and within timelines.
Cross-Functional Collaboration: Partner with business teams, analytics experts, IT personnel, and external vendors to successfully operationalize and maintain predictive models and business strategies.
Data Analysis and POCs: Analyze complex datasets and develop proofs of concept (POCs) to validate new analytics approaches, focusing on testing efficiencies and innovation.
Platform Upgrades: Take ownership of upgrading deployment platforms, ensuring scalability, robustness, and alignment with evolving business needs.
Ad Hoc Reporting: Provide business users with timely reports, data analysis, and programming support to facilitate data-driven decision-making.
Process Improvement: Proactively identify opportunities to optimize analytics delivery processes, reduce redundancies, and enhance overall business efficiency.
Consulting Role: Act as a trusted advisor on data and technology matters within the team, influencing strategic initiatives and guiding technical solutions.
International Engagement: Work closely with international teams to ensure alignment of analytics strategies, share best practices, and contribute to global business objectives.
Your role is crucial in bridging the gap between data science, IT, and business functions to deliver actionable intelligence that supports Ford’s strategic goals.
Required Skills
To excel in this role, candidates should possess:
Programming Expertise: Strong programming skills with 2-3 years of experience in languages including SAS, Google Cloud Platform (GCP), Java, C, C++, SQL, COBOL/JCL, and JavaScript. Proficiency in both procedural and object-oriented programming paradigms is essential.
Agile Methodology: Experience working in Agile environments to foster iterative development, collaboration, and rapid delivery of analytics solutions.
Database and Warehousing: Hands-on experience with relational databases and data warehousing technologies such as Teradata, Oracle, and DB2, enabling effective data management and querying.
Testing Knowledge: Familiarity with IT testing processes and environments, ensuring that analytics solutions meet quality standards and function as intended.
MS Office Proficiency: Strong skills in MS Office tools for documentation, analysis, reporting, and presentation.
Communication Skills: Excellent verbal and written communication abilities to collaborate effectively across technical and business teams, translating complex analytics into understandable insights.
Self-Motivation: Ability to work independently, demonstrate initiative, and take ownership of assigned tasks with minimal supervision.
Adaptability: Quick learner comfortable working in a dynamic environment with changing priorities and new technologies.
Proactivity: Confident in asking questions, seeking clarity, and contributing ideas that improve processes and outcomes.
Efficiency Focus: Strong commitment to building scalable, quality-assured analytics solutions that enhance operational efficiency.
Preferred Skills
Candidates with the following will be given preference:
Experience working in a global, multicultural team, with the ability to navigate cross-cultural communication and collaboration.
Advanced knowledge of data analytics platforms, visualization tools, and big data ecosystems that extend beyond core programming skills.
Domain expertise in credit risk modeling, predictive analytics, or financial services industry knowledge.
Familiarity with cloud platforms such as Google Cloud Platform (GCP), AWS, or Microsoft Azure, particularly in data and analytics contexts.
Skills in automating repetitive analytics tasks and workflows to improve accuracy and productivity.
Perks and Benefits
Ford offers a competitive and comprehensive benefits package designed to support employee well-being, career growth, and work-life balance, including:
Competitive salary aligned with industry benchmarks and performance incentives.
Comprehensive health insurance plans and wellness programs promoting physical and mental health.
Paid time off and flexible working hours to support personal and professional balance.
Opportunities for continued professional development including certification programs, training sessions, and career advancement pathways.
Exposure to innovative analytics projects within a leading global enterprise.
An inclusive, diverse, and collaborative culture that fosters creativity, innovation, and continuous learning.
Why Join Us
Joining Ford means becoming part of an organization at the forefront of automotive innovation and digital transformation. As a Data Business Analyst, you will have a unique opportunity to apply your analytics expertise to critical credit risk initiatives that impact Ford’s global operations and financial strategies. You will work alongside a dynamic team of professionals who value creativity, diversity, and data-driven decision-making.
Ford’s commitment to sustainability, employee development, and technological advancement offers a rewarding and supportive environment for your career growth. Whether you are passionate about predictive analytics, programming, or data strategy, this role provides the platform to expand your skills and make a tangible impact on one of the world’s most respected brands.
