Logistics Data Analysis

BROAD SCOPE:
Data (volume/cost) analysis and optimization of logistics operations, including warehouse, forwarding, and trucking activities.
ESSENTIAL DUTIES/ RESPONSIBILITIES:
Data Analysis and Reporting
Collect, clean, and analyze logistics data from multiple sources to ensure accuracy and consistency.
Develop and maintain dashboards, reports, and KPIs to track logistics performance and identify areas for improvement.
Provide actionable insights to enhance operational efficiency and cost-effectiveness.
Inventory and Operations Management
Work closely with warehouse operations teams to ensure accurate inventory data management.
Identify inefficiencies in supply chain operations and recommend data-driven solutions.
SOP Management
Develop and refine Standard Operating Procedures (SOPs) for data collection, reporting, and analysis.
Ensure compliance with data governance standards and operational policies.
Logistics Dashboard Management
Logistics Dashboard Monitoring, Track Key logistics metric and trends
Ensure accuracy and generate report for decision making
Identify improvements for efficiency
Create Dashboard based on operational demands
Productivity and Cost Management
Analyze logistics cost structures and identify opportunities for cost savings.
Utilize statistical and predictive modeling techniques to optimize resource allocation and improve productivity.
Monitor and evaluate vendor performance, transportation costs, and service levels.
Claim Handling and Risk Management
Analyze claims data to identify root causes and propose solutions to minimize losses.
Monitor and evaluate logistics operations to reduce risks and errors in order fulfillment and transportation.
Maintain accurate and timely records of logistics activities and compliance metrics.
Other Responsibilities
Provide accurate and timely daily, weekly, and monthly reports on logistics activities.
Support the implementation of new projects related to logistics optimization and digital transformation.
Other duties assigned by management.

(a) EDUCATION / QUALIFICATION
University graduate in Logistics, Supply Chain Management, Data Analytics, Business, or a related field.
(b) EXPERIENCE
At least 5 years of experience in logistics, warehousing, forwarding, or trucking data analysis.
Experience in ERP, WMS, and TMS systems is preferred.
(c) SKILLS
Proficiency in data analytics tools such as SQL, Python, R, or similar.
Experience with visualization tools like Power BI, Tableau, or Excel (advanced level).
Strong problem-solving skills and ability to provide data-driven insights.
Excellent MS Office skills.
Strong leadership and communication skills.
Ability to work under high pressure and meet deadlines