Know The Roles of a Data Analyst Before You Start a Career as a Data Analyst
A brief explanation
Lately, the Data Analyst profession is in great demand, even people who don’t have a data background are interested in it and want to switch to profession data analyst. In order not to find many mistakes in the field later, it is better if you first know the role of a data analyst before starting a career as a data analyst.
It is important to know the role of a Data Analyst before starting a career as a professional Data Analyst. Following are the roles of a Data Analyst:
1. Analyze complex data
A Data Analyst usually analyzes large and complex data. Usually, the data analyzed consists of many tables that are related to one another.
2. Identifying problem
Like a detective, a Data Analyst must be able to identify problems based on the results of the analysis.
3. Exploring the data in depth
By being treated to big data, Data Analyst must be able to dig deep into the information contained in the data and be able to bring out insights from the data and make recommendations from the data.
4. Making simple experiment, simulation, and prediction
Data Analysts also sometimes perform experiments such as A / B testing, simulations such as Monte Carlo simulations, and simple predictions such as simple Regression Analysis, Forecasting, or even Simple Machine Learning Algorithms.
5. Building reports or visuals from a data set using proper narration
After analyzing, the task of a Data Analyst is to make a report or create a visualization of the analysis results, and of course by using the right narrative, which will be easily understood by the executive.
6. Communicate insights and make recommendations from data
Data Analyst must be able to communicate insights from the analyzed data and make recommendations on which data is useful for the company for the future, without this expertise the results of the analysis will be in vain.
Conclusion
In order not to find many mistakes in the field later, it is better if you first know the role of a data analyst before starting a career as a Data Analyst. It is also important for companies not to be biased in recruiting data experts.
