Sr Logistics Analyst

Key Skills

Analytical and Problem solving, Data Analysis, Data science techniques, Effective communication skills, KPIs, Logistic Regression, Microsoft-Excel, Python Programming, SQL, Supply Chain Management, Tableau

Job Description

We are seeking a highly analytical and detail-oriented Data Analyst to join our Logistics team. The ideal candidate will be responsible for collecting, analyzing, and interpreting data related to our logistics and warehouse operations. This role plays a critical part in optimizing our supply chain efficiency, reducing costs, and ensuring the smooth flow of goods through our facilities.

Key Responsibilities:

• Gather data from various sources, including warehouse management systems, transportation software, and other relevant databases.
• Analyze data to identify trends, patterns, and areas for improvement in logistics and warehouse operations.
• Develop and maintain key performance indicators (KPIs) to track the efficiency and effectiveness of logistics and warehouse operations.
• Generate regular reports and dashboards to provide insights into performance against KPIs.
• Monitor inventory levels and optimize stocking strategies to minimize carrying costs while ensuring product availability.
• Identify slow-moving or obsolete inventory and recommend actions for inventory reduction.
• Collaborate with the logistics and warehouse teams to identify process bottlenecks and areas for improvement.
• Propose and implement data-driven process enhancements to increase efficiency and reduce costs.
• Use historical data to develop demand forecasts and inventory projections.
• Assist in capacity planning and resource allocation based on forecasted demand.
• Monitor and report on product quality and compliance with relevant standards.
• Identify and address quality issues and suggest corrective actions.
• Create clear and concise data visualizations, charts, and graphs to communicate findings effectively.

YOU MUST HAVE

• Bachelor's degree in a relevant field (e.g., Data Science, Supply Chain Management, Business Analytics). 
• Proven experience as a data analyst, preferably in logistics operations.
• Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, Tableau).

WE VALUE:

• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Knowledge of logistics and supply chain principles is a plus.