DATA ANALYSIS ENGINEER
CNH Industrial (company site, opens in a new tab)2–6 yrsGurugramOn-siteDirect career pageEst. 8–18 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Transform large-scale engineering, warranty, telematics, product, and operational data into actionable insights to improve product quality, business performance, and customer satisfaction.
- Develop and maintain real-time dashboards, KPI scorecards, and analytics platforms across global Agricultural product lines to enable strategic and operational decision-making.
- Lead AI, Machine Learning, Generative AI initiatives and design scalable data architectures, while supporting digital product development through Power Apps, Databricks, Python, and advanced analytics solutions.
Minimum Requirements
- 2 to 6 years of work experience in data analysis with statistical tools and providing recommendations.
- Experience in Advanced Analytics, Data Engineering, Business Intelligence, and working with Python, Databricks, SQL, Power BI, Power Query, Excel, Power Apps, and Qlik Sense.
- Experience handling large-scale structured and unstructured datasets, cloud-based platforms, and data lake environments.
- Bachelor’s degree in engineering (Mechanical, Electrical, Computer Science) or similar.
Ideal Candidate Profile
- Experience working with telematics, warranty, engineering performance, bill of material, or quality data relevant to agricultural product lines.
- Proven track record in leading AI, Machine Learning, and Generative AI projects to drive engineering efficiency and business process improvements.
- Capable of collaborating with cross-functional teams (Engineering, Manufacturing, Finance, Product Management, Quality) to align metrics, priorities, and improvements in a global enterprise setting.