Analyze complex logistics and supply chain data to identify inefficiencies, trends, and opportunities.
Support strategic initiatives such as route optimization, inventory management, and cost reduction.

2. Performance Monitoring & KPIs

Develop and maintain key logistics KPIs (e.g., on-time delivery, freight cost per unit, inventory turnover).
Monitor vendor and carrier performance metrics to drive accountability and service improvements.

3. Data Modeling & Forecasting

Build predictive models to forecast demand, shipping volumes, lead times, and stock levels.
Apply statistical and machine learning techniques for proactive decision-making.

4. Reporting & Dashboards

Design and maintain real-time dashboards and automated reports using tools like Power BI, Tableau, or Looker.
Present insights to senior leadership and cross-functional teams with clarity and impact.

5. Cross-Functional Collaboration

Work closely with operations, procurement, warehousing, and IT teams to understand data needs.
Support logistics strategy planning with data-driven recommendations.

6. Process Improvement

Identify bottlenecks in the supply chain and recommend data-backed solutions.
Automate manual data processes and implement data quality controls.

7. Data Governance & Quality

Ensure accuracy, consistency, and integrity of logistics and transportation data.
Work with data engineering teams to improve data pipelines and warehouse structure.

8. Mentoring & Leadership

Guide junior analysts and review their work for quality and accuracy.
Contribute to analytics best practices and knowledge sharing within the team.

9. Tool & System Integration

Leverage ERP systems (e.g., SAP, Oracle) and TMS/WMS platforms for data extraction and integration.
Enhance reporting capabilities by integrating data from multiple logistics systems.

Job Type: Full-time

Pay: ₹18,265.50 - ₹58,948.32 per month

Work Location: In person

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