• To analyze, interpret, and report on Control Tower operational data, ensuring visibility across inbound and outbound logistics processes. This role supports decision-making by providing actionable insights, identifying risks, and ensuring data accuracy in line with operational KPIs.

KEY RESPONSIBILITIES

• Data Analysis & Reporting: Generate comprehensive reports on inbound and outbound CT activities, ensuring accuracy and completeness of data.
• KPI Monitoring: Track performance indicators such as delivery conformance, TAT, order fulfillment, and route deviations.
• Risk Identification: Highlight operational risks (delays, non-conformance, route deviations) and escalate appropriately.
• Insights Generation: Use analytics to recommend process improvements, efficiency gains, and cost optimization.
• Telematics Integration: Consolidate GPS and telematics data for reporting and performance dashboards.
• Collaboration: Support inbound/outbound trackers with insights and consolidated reports for client updates.
• Data Visualization: Develop dashboards for live monitoring of operational KPIs.
• Compliance & Transparency: Ensure reporting aligns with client requirements and is fully auditable.
• Data Presentation: Present data analysis findings to project teams or clients as needed, clearly communicating insights and recommendations.
• Training and Development: Work closely with the Data Processing Manager to train junior data processing staff on statistical methods and the generation of insights from data.
• Documentation and Transparency: Ensure that data analysis processes are properly documented to improve transparency and serve as a reference for future projects.

KEY SKILL

• Advanced data analysis and visualization (Excel, SQL, Power BI, Python)
• Statistical modelling and forecasting
• Strong report writing and presentation skills
• Supply chain and logistics knowledge
• Problem-solving and risk assessment

EXPERIENCE

• Minimum 3 years in data analytics, preferably in supply chain/logistics.

PERSONAL ATTRIBUTE

• Detail-oriented
• Analytical thinker
• Strong communicator
• Proactive and collaborative

QUALIFICATION

• Bachelor’s degree in Statistics, Data Science, or a Supply Chain related field. An advanced degree is preferred.
• Advanced training in data analytics preferred
• Good knowledge of IT and computer systems
• Proven experience in data analysis, including the use of statistical methods and data visualization tools.
• Strong understanding of data processing and data migration techniques.
• Excellent organizational skills and attention to detail.