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The Logistics Analyst will be responsible for driving cost, service, and network performance analytics using advanced tools such as Python, Power BI, SQL, and automation platforms. The role will convert data-backed insights into actionable initiatives that enhance transportation efficiency, reduce logistics cost, and improve service levels across the supply chain.
Job Responsibility:
Build and maintain dashboards, models, and automated reports using Power BI, Python, and SQL to track logistics KPIs
Conduct deep-dive analytics to identify cost-saving opportunities, service gaps, route inefficiencies, and vendor performance issues
Develop predictive and prescriptive analytics for truck placement, network optimization, shipment planning, and service forecasting
Analyse transportation and warehouse data to spot trends, anomalies, and improvement levers
Collaborate with logistics operations, planning, procurement, and warehouse teams to implement improvement actions based on analytical findings
Monitor post-implementation results to validate impact and drive continuous improvement
Support cost-reduction initiatives such as route optimization, vendor negotiations, load consolidation, and digital process automation
Track daily performance of transporters, lanes, warehouses, and dispatch schedules
Create alerts and exception reporting for delays, detentions, service failures, and cost deviations
Support monthly reviews with performance reports, insights summaries, and improvement roadmaps
Work closely with factories, distribution centres, transporters, and cross-functional teams to ensure smooth logistics execution
Build strong relationships with vendors by providing data-supported feedback and insights
Coordinate with digital/tech teams to enhance data availability, quality, and visualization tools
Ensure data accuracy and compliance with internal reporting standards
Support digital and sustainability initiatives in logistics through automation and performance monitoring
Requirements:
2–6 years of experience in supply chain analytics, logistics analytics, transportation analytics, or similar roles
Hands-on experience with Python, Power BI, SQL, or cloud data platforms
Exposure to logistics operations such as transportation, network planning, or warehouse management
Experience in FMCG / e-commerce / manufacturing industries preferred
Bachelor’s degree in Engineering, Supply Chain, Logistics, Analytics, or related fields
Strong analytical, problem-solving, and data interpretation skills
Ability to translate complex analyses into clear business recommendations
Strong communication and stakeholder management skills
Familiarity with logistics processes, cost structures, and regulatory requirements