Key Responsibilities: 1. Data Collection & Analysis • Gather, clean, and analyse supply chain data from various sources to support operational decisions. • Identify trends, patterns, and insights within the data to improve supply chain processes such as procurement, logistics, and inventory management. • Develop and maintain real-time dashboards for senior management. 2. Predictive Modelling & Forecasting • Utilize statistical and probabilistic methods to forecast supply chain trends. • Implement AI-driven models for advanced data analysis and predictive modelling. • Refine models based on real-time data and stakeholder feedback. 3. Data Reporting & Visualization • Create detailed reports and visualizations for key metrics. • Automate data reporting to provide accurate insights to leadership. • Present data-driven recommendations to improve supply chain efficiency. 4. Cross-Functional Collaboration • Work with procurement, logistics, and operations teams to drive data-driven decisions.Participate in meetings to support process improvements through data insights. 5. Technology Implementation • Leverage digital tools and AI models to enhance supply chain visibility and performance. • Collaborate with IT teams for tool integration and maintenance. 6. Continuous Improvement • Identify opportunities for improving data analytics capabilities. • Stay updated with advancements in AI and supply chain technologies. Qualifications: • Bachelor’s degree in Statistics, Data Science, Supply Chain Management, or related field; Master’s preferred. • 5+ years of experience in data analysis with a focus on supply chain operations in India. • Expertise in Excel, data modelling, and statistical analysis. • Familiarity with geospatial data and supply chain processes in India. Preferred Qualifications: • Proficiency in Python and Power BI for data analysis and visualization.Experience in SAP systems and geospatial data analysis. • Knowledge of AI models for predictive analytics.