Tags: CompositeJD
These are a composite set of skills extracted from various data analyst job descriptions. The idea is to generate a generic list of basic skills that I have and also ones that I can target.
### Skill I have aligned to JD’s
- MS Excel basics and 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
- Comfortable with 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.
### Skills to be developed The plans and details for this list of skills will be fleshed out soon.
- TODO Better grip on fundamental statistics
- TODO Improve familiarity with Excel
- TODO Tableau : data viz/BI software (Examples of expertise to be formulated)
- TODO Intermediate SQL (Fluency + projects) [0/2]
- TODO Knowledge of the Agile/Waterfall process
- TODO Fluency in Data Cleaning with Python [/]
- TODO Fluency in ML with Python [0/1]
- TODO Unit testing approach in code
- TODO End to End project example with R (Data cleaning to ML)
- TODO Atleast 1 end to end project in Python (Data cleaning to ML)
- TODO Gain knowledge in dealing with larger datasets.
- TODO Better expertise in ‘Data Wrangling’ and Exploratory Data Analysis (EDA)
- TODO Gain fundamental expertise in Cloud Platforms
- TODO Improving knowledge of how ML algorithms work
- TODO Big data
- TODO AWS fundamentals
- TODO Demonstrate an automation pipeline process