SCM & Logistics Analyst Support (INTERNSHIP)

Position Summary The Operations & Logistics Analyst (Internship) will report to the Operations & Logistics Manager and will be responsible for supervising logistic processes (B2B, B2C/DTC), performing data analysis, interpretation & executions. This position will advise & act as a control tower to implement the best decision/solution related to Operations and Logistics area, with scope on maximizing the sales, quality of deliverables & cost-savings activities. This role is an important part of Samsung S&OP/SCM process, to allow the stakeholders to make efficient/timely decision making, by providing business visibility to each different management level. Role And Responsibilities Key Responsibilities: [Logistics & Operations] Be part of the important omnichannel S&OP and process, providing insightful analysis on the forecast, sell-in/sell-out, own inventory/channel inventory for Samsung products. Develop dashboards and conduct analysis highlighting Performances and KPIs for Inventory, Sales, Channel stocks, Sell-out, Service Quality & Reverse Logistics. Anticipate the potential risk, and escalate to the relevant stakeholders to manage in timely manner. Coordinate & Support collaboration between 3PL/4PL and Commercial, SCM, Customer Service, to manage the logistics issues. Participate in new SCM projects (B2B, Retail, Online E-commerce) in collaboration with customers at local and pan-EU level. Monitor & Collect KPIs for Transport & Warehouse activities and lead continuous improvement plans on the following areas: Warehouse / Inventory related: Capacity monitoring / simulation, Obsolete inventory & aging, etc. Transportation related: Transportation lead-time, Outstanding delivery, D2C delivery, IOD/POD control, Inbound tracking, L/T, etc. Reverse logistics related: Return (DtC and B2B), lead-time, etc. Cost related: Logistics cost monitoring, abnormal cost mapping, etc. Skills And Qualifications [Education] Master / Bachelor in SCM, Industrial Engineering, Statistics, or in Data Science. [Qualification/Skills] Profound analytical skills and attention/ability to work with details; Microsoft Excel is essential (Macro knowledge is a plus). Strong communication & Stakeholder management skills. Problem Solving Skills. Good Business acumen. Language: Fluent English & Italian. Proactiveness and Willingness to learn and grow in a multi-dynamic and cultural environment. [Others] Travel required: less than 5%. Experience with Dashboard Development is a strong plus (QlikSense). J-18808-Ljbffr

Location: provincia-di-milano, IT

Posted Date: 11/27/2024