Key Responsibilities:

• Collect, clean, and analyze large datasets related to logistics operations, including transportation, operations, and storage performance, in addition to Financial and Human Capital Data.
• Develop and maintain dashboards, reports, and visualizations to track performance indicators (KPIs and OKRs) and provide actionable insights to stakeholders.
• Identify trends, patterns, and anomalies in data to support decision-making and process improvements.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
• Build predictive models and conduct scenario analysis to optimize logistics operations, reduce costs, and improve service levels.
• Monitor data quality and integrity, ensuring accuracy and consistency across systems.
• Stay updated on industry trends, emerging technologies, and best practices in data analysis and logistics.
• Present findings and recommendations to senior management in a clear and concise manner.
• Support the implementation of data analytics tools and technologies.