Profession logistics analyst
Logistics analysts streamline product manufacturing, transportation, storage and distribution. They assess production and supply chain problems to determine economically efficient solutions. They assists company managers in decision-making processes and direct programs designed to provide subcontractors, managers and customers with logistic technology.
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- Conventional / Enterprising
- Theory of constraints
Know the theory of constraints (TOC) and pursue maximum efficiency of equipment, in order to increase output of the supply chain and company profit.
- Green logistics
Know about green logistics, in which significant efforts are made to minimise the ecological impact of logistics activities.
- Supply chain management
The flow of goods in the supply chain, movement and storage of raw materials, work-in-process inventory, and finished goods from point of origin to point of consumption.
- Manage logistics pricing systems
Manage logistics pricing systems; ensure that prices adequately reflect costs.
- Consider economic criteria in decision making
Develop proposals and take appropriate decisions taking into account economic criteria.
- Detect bottlenecks
Identify bottlenecks in the supply chain.
- Liaise with logistics management teams
Communicate with logistics management in order to optimise service levels; optimise the supply chain while keeping expenditures at a minimum.
- Perform system analysis
Execute system analyses and calculate to what extent changes could affect outcomes.
- Maintain logistics databases
Maintain databases accessible to users in the logistics and storage sub-sector.
- Analyse supply chain trends
Analyse and make predictions about trends and evolutions in supply chain operations in relation to technology, efficiency systems, types of products shipped, and logistical requirements for shipments, in order to remain at the forefront of supply chain methodologies.
- Analyse transport business networks
Analyse various transport business networks in order to organise the most efficient setting of modes of transport. Analyse those networks that aim to achieve lowest costs and maximum efficiency.
- Understand supply chain improvements in relation to profit gains
Interpret how the supply chain improvements will impact company profits. Intensify the improvement in those processes that will streamline the supply chain most effectively while generating most profit.
- Use specific data analysis software
Use specific software for data analysis, including statistics, spreadsheets, and databases. Explore possibilities in order to make reports to managers, superiors, or clients.
- Maintain freight rate databases
Develop and maintain freight rate databases for use by supply chain departments in order to determine and adopt the most cost-efficient modes of transportation.
- Analyse supply chain strategies
Examine an organisation's planning details of production, their expected output units, quality, quantity, cost, time available and labour requirements. Provide suggestions in order to improve products, service quality and reduce costs.
- Support development of annual budget
Support the development of the annual budget by producing base data as defined by the operations budget process.
- Work in an economically efficient manner
Perform work processes as efficiently as possible, avoiding the waste of materials, time, and energy as much as possible.
- Develop efficiency plans for logistics operations
Elaborate and implement plans in order to increase efficiency and reduce waste during logistics operations.
- Review distribution management procedures
Develop and review distribution procedures in order to minimise expenditures and maximise customer satisfaction.
- Enhance production workflow
Enhance the product workflow by analysing and developing logistics plans that impact production as well as distribution.
- Use methods of logistical data analysis
Read and interpret supply chain and transportation data. Analyse the reliability and availability of findings by using methods such as data mining, data modelling and cost-benefit analysis.