• Serve as the technical lead for data analytics, statistical analysis, and predictive modeling activities.
• Lead the development and delivery of descriptive, diagnostic, and predictive analytical products.
• Analyze large and complex datasets to identify trends, patterns, relationships, anomalies, risks, and opportunities for operational improvement.
• Perform data mining and exploratory data analysis to identify meaningful information from structured and unstructured data sources.
• Develop and apply statistical models, predictive models, and machine learning techniques to support forecasting and operational decision-making.
• Analyze supply chain and logistics data to evaluate performance, identify inefficiencies, and recommend data-driven improvements.
• Develop analytical models supporting areas such as inventory management, demand forecasting, transportation, supply chain performance, resource planning, and operational optimization.
• Design, develop, and maintain dashboards, visualizations, scorecards, and performance reports using Tableau and/or Microsoft Power BI.
• Establish and monitor key performance indicators (KPIs), metrics, trends, and performance thresholds.
• Translate complex analytical findings into clear, actionable recommendations for Government stakeholders and senior leadership