In data science, there are three main career paths: data analyst, data scientist, and data engineer.
1. Data Analyst
Data analyst plays the role of junior data scientist. It is an entry level job if you’re planning to start a career in data science.
Data analyst don’t invent new wheels, rather they use existing tools to solve the problems
Data Analyst skills:
- Data munging, and
- Data Visualization.
Besides technical skills, data analyst also need reasoning and communication skills to be successful.
What does data analyst do?
Data Analyst works under the guidance of data professionals. They do collect, process, summarise and report the insights of data.
They make data visualization to make reports and communicate the results.
2. Data Scientist
The data scientist is a senior role of a data analyst. Both data analyst and data scientist share a common goal to extract insights out of data.
But, the data scientist work on more complex problems. They work with huge data and requires advanced skills as opposed to the data analyst.
Data Scientist skills :
- Maths and Statistics
- Machine Learning
- Big data
- Data visualization
What does data scientist do?
Data scientist use data to solve business problems. A data analyst summarises the past, however a data scientist plans for the future. They use data to make strategies to solve various problems.
They create machine learning models to understand data, recognize patterns and automate the iterative process.
3. Data Engineer
Data Engineers builds the data infrastructure for the data-driven organization. They provide a platform to retrieve the data for experiments.
Data Engineer skills:
- Big data technologies i.e Hadoop and Spark
- SQL technologies like MySQL, SQL Server
- NoSQL technologies like MongoDB
- Data warehousing solutions
What does data engineer do?
Data engineer provide an easy process to extract, transform and load data. They also help data scientist to make scalable data science products.
They help data scientist to work with big data.
Data science is a hot and emerging field in technology. The involvement in data science work is rewarding.
If you want to learn more, you may read an overview of data science.