Background information about the job or company (e.g., role context, company overview)

Platinum Outsourcing & Logistics (E.A) Ltd was founded and incorporated in 2010, to lead in provision of outsourcing and logistics services. We run a subsidiary company Chania Cleaners offering cleaning , Sanitation, pest control, waste management and landscaping services. Our Mission To strive to provide quality services consistently to be the company o...

Responsibilities or duties

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.

Qualifications or requirements (e.g., education, skills)

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 needed

Experience

Minimum 2 years in data analytics, preferably in supply chain/logistics.

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

• 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

• 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.