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.
Minimum Qualifications
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.
Key Skills
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
Personal Attributes
Detail-oriented
Analytical thinker
Strong communicator
Proactive and collaborative
Experience
Minimum 2 years in data analytics, preferably in supply chain/logistics.