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.