• Analyze large datasets using SQL and Python to extract insights and support data-driven decision-making within supply chain operations. • Conduct data exploration and analysis to identify trends, patterns, and opportunities across supply chain functions such as demand planning, inventory management, logistics, and distribution. • Collaborate with business stakeholders and cross-functional teams to understand requirements and translate them into analytical solutions. • Develop analytical models and frameworks to address business challenges and improve operational efficiency in Retail/CPG supply chains. • Create clear presentations and reports to communicate insights, findings, and recommendations to business stakeholders and leadership. • Build and maintain data dashboards and visualizations using tools such as Tableau or Power BI. • Contribute to data-driven strategies and analytics initiatives to improve forecasting, supply chain performance, and revenue management outcomes. • Stay updated with industry trends, analytics tools, and emerging technologies relevant to the Retail/CPG and supply chain domains.