Business Intelligence Analyst - Data Logistics

As a Business Data Analytics / BI Analyst, you will play a crucial role in analyzing and optimizing mail and parcel logistics operations through data-driven insights. To excel in this role, you must possess a bachelor's degree in Engineering, Business, Analytics, or a closely related field. Additionally, previous experience in the Logistic domain is essential.Your primary responsibility will be to leverage your expertise in data analytics to enhance mail and parcel operations. This will involve extracting, manipulating, and analyzing data to improve logistics efficiency. You will collaborate with cross-functional teams to integrate analytics into logistics operations as part of the IT 2.0 initiative.The ideal candidate for this position should have a strong grasp of logistics and supply chain principles. You should be adept at predictive analytics and forecasting, with the ability to design data use cases for predictive routing, mail volume forecasting, and performance monitoring. Moreover, you will be tasked with identifying opportunities for operational optimization to improve efficiency, accuracy, and real-time tracking in logistics.Critical thinking and problem-solving skills are crucial in this role, as you will be expected to evaluate logistics workflows and propose data-driven improvements. By combining your data analytics expertise with logistics knowledge, you will contribute to the overall success of mail and parcel logistics operations., As a Business Data Analytics / BI Analyst, you will play a crucial role in analyzing and optimizing mail and parcel logistics operations through data-driven insights. To excel in this role, you must possess a bachelor's degree in Engineering, Business, Analytics, or a closely related field. Additionally, previous experience in the Logistic domain is essential.Your primary responsibility will be to leverage your expertise in data analytics to enhance mail and parcel operations. This will involve extracting, manipulating, and analyzing data to improve logistics efficiency. You will collaborate with cross-functional teams to integrate analytics into logistics operations as part of the IT 2.0 initiative.The ideal candidate for this position should have a strong grasp of logistics and supply chain principles. You should be adept at predictive analytics and forecasting, with the ability to design data use cases for predictive routing, mail volume forecasting, and performance monitoring. Moreover, you will be tasked with identifying opportunities for operational optimization to improve efficiency, accuracy, and real-time tracking in logistics.Critical thinking and problem-solving skills are crucial in this role, as you will be expected to evaluate logistics workflows and propose data-driven improvements. By combining your data analytics expertise with logistics knowledge, you will contribute to the overall success of mail and parcel logistics operations.,