Logistics Analyst

Description:

Key Responsibilities:

- 1. Data Analytics, Dashboards & Reporting

- Develop, automate, and maintain Power BI dashboards (Must Have) for transportation, warehousing, and distribution KPIs.

- Analyze logistics data to identify trends, inefficiencies, and optimization opportunities.

- Create predictive and prescriptive analytical models for logistics planning and forecasting.

- Own key logistics metrics: OTIF, TAT, freight cost per unit, load utilization, route performance, fill rate, and SLA adherence.

- 2. Logistics Optimization

- Perform route optimization, vehicle load planning, and freight cost analysis.

- Support warehouse layout optimization, manpower planning, and inventory flow assessments.

- Conduct network modeling and capacity planning to support strategic supply chain decisions.

- 3. Stakeholder Collaboration

- Work closely with operations, procurement, finance, and customer service to improve logistics performance.

- Collaborate with transporters/3PL partners to monitor SLA performance and drive improvements.

- Present insights, dashboards, and recommendations to senior leadership.

- 4. Process & Digital Improvement

- Lead cost-reduction and service improvement initiatives through analytics.

- Identify automation opportunities and collaborate with IT to implement digital tools and analytics platforms.

- Ensure data governance, data accuracy, and standardization across logistics systems.

Qualifications & Experience:

- Bachelors degree in Engineering, Supply Chain, Logistics, or related field; MBA preferred.

- 6-10 years of experience in logistics analytics, supply chain analytics, or transportation analytics roles.

- Mandatory: Advanced Power BI expertise (DAX, data modeling, drill-through, automation, and dashboard design).

- Strong analytical skills with knowledge of Excel, SQL; Python/R preferred but not required.

- Familiarity with ERP systems (SAP/Oracle) and TMS/WMS platforms.

Key Skills:

- Advanced Power BI dashboard development (must have).

- Strong understanding of logistics KPIs and operational processes.

- Data modeling, visualization, and storytelling.

- Problem-solving and process improvement mindset.

- Excellent communication and cross-functional collaboration skills.