Job Description

Advanced Data Analysis & Insights

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