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