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How to be a DATA Analyst

To become a data analyst one need to be good at maths, basically numbers and visuals are two things every data analyst must know about.
In my experience I believe domain knowledge and understanding the business is one of the key factor one would be needing to sort out pattens or analysis from the business data. Until and unless I don't know what my details is telling to me how I can be sure what to analyse.
After all these basically a series of tool is important so that the work of analyst becomes easy, let's say tools like
Excel, SQL , visualisation (tableau, powerbi), cloud computing (azure,AWS), modules in python like matplotlib, scikit learn, seaborn, pandas are some of the basic necessities that need to be fullfill.

Some guidelines if I have to say is:
1) always try with clean data, then move to dirty data(mostly wrong columns values, mismatch column values, redundant data)
2) making quick visuals are always a better approach to increase confidence and skill in the path
3) better to find some sample data like from government database, it's always easy 
4) try to avoid complex analysis on numbers, try simpler percentage or ratios or min and max values.
5) always try to see the end goal before starting of any project 

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