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Metro mid-level generalist role with broad BI, Databricks, Python, and ML requirements increases applicant competition.
Strong vehicle warranty, telematics, and AG product domain expertise limits cross-industry transferability.
Explicit 6+ years plus mandatory Databricks, Python, BI, and ML skills make shortlisting highly selective.
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Analyze warranty, telematics, engineering, and customer data to identify product quality trends and drive continuous improvement across Agricultural products.
Develop dashboards, KPIs, and analytical solutions to support data-driven decision-making and enhance product reliability and service support.
Lead projects using AI, ML, automation, and Power Apps to improve productivity, quality, and business processes by collaborating with Product Engineering, Product Management, and Manufacturing teams.
Minimum 6+ years work experience in data analysis using statistical tools with ability to provide inferences and recommendations.
Proficiency in advanced analytics, data visualization, and reporting tools such as Power BI, Excel, Python, Databricks, Qlik Sense, and Power Apps.
Bachelor’s degree in Engineering (Mechanical, Electrical, or Computer Science).
Working mode is fully on-site at Gurgaon, India location.
Experienced in applying predictive analytics and root-cause investigation techniques in mechanical, electrical, or system-level product quality contexts.
Skilled in designing and maintaining enterprise data solutions including automation and low-code platforms to streamline complex data workflows.
Capable of transforming complex data into actionable intelligence enabling strategic decisions and continuous product quality improvements in a global Agricultural product environment.