Roles and Responsibilities: Data Analysis: Analyze proactive and predictive data, including DTC, CAN signals, and job card failure analysis to identify trends, patterns, and anomalies. Collaboration: Work closely with developers to provide insights for predictive model development and ensure the accuracy and relevance of the models. Quality and R&D Support: Offer inferences to quality and R&D functions for early detection of issues and faster resolution of complaints. Monitoring and Reporting: Monitor ticket Turnaround Time (TAT) and report Key Performance Indicators (KPIs) to track performance and identify areas for improvement. Cost Savings: Identify opportunities for cost savings through proactive monitoring and analysis. Data Visualization: Create visual representations of data findings through charts, graphs, and dashboards to communicate insights effectively. Reporting: Prepare detailed reports and presentations to communicate insights and findings to stakeholders. Cross-Functional Support: Work with other departments to understand their data needs and support informed decision-making. Skills: Strong knowledge of statistical programming languages such as Python or R. Experience with data visualization tools like Tableau, Power BI, or similar. Excellent analytical and problem-solving skills. Ability to interpret complex datasets and provide actionable insights. Strong communication and presentation skills. Familiarity with machine learning algorithms and predictive modeling techniques. Experience with data cleaning, preparation, and exploration. Proficiency in SQL and NoSQL databases