Control Tower Analyst – Supply Chain

Platinum Outsourcing & Logistics (E.A) Ltd invites applications from candidates who are suitably qualified and experienced with excellent credentials to fill the position CONTROL TOWER ANALYST – SUPLY CHAIN

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.