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Tags: [[tag:CompositeJD]] # Explicitly aligned to JD's <code>[1/2]</code> - MS Excel basics and preferably advanced skills, including knowledge of using VBA - Education: Engineering degree, i.e quantitative or technical background - Experience in dealing with customers and clients, and providing analytical support to solve problems and extracting business requirements + formulating strategies. - Experience in being a customer and dealing with technical support services for various softwares and services. - Experience in dealing with various stake holders. - Experience in dealing with multiple teams (intra and extra departmental). - Experience dealing with multiple products. - [ ] Basic knowledge of building dashboards (R Shiny) : examples need to be demonstrated. - Experience with Manual Data collection - Experience with ERP systems (CRM, Sales, Purchase, Manufacturing modules). - [X] Basic Extract Load Transform (ETL) knowledge, especially via ERP. This has to be highlighted in the CV. # Other skills <code>[0/1]</code> - Linux and CLI knowledge. Ability to handle a VPS. - Dealt with different forms of data analysis over 6 years. - [ ] Docker : sample project displaying skills. - Docker is not asked very commonly in data scientist profiles. However, it is certainly a strong skill to have as a data scientist.
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