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Data Analytics is not just about tools or writing perfect queries.

It is a blend of:

โ€ข ๐—ง๐—ฒ๐—ฐ๐—ต๐—ป๐—ถ๐—ฐ๐—ฎ๐—น ๐˜€๐—ธ๐—ถ๐—น๐—น๐˜€: You are comfortable with tools and technologies such as SQL, BI tool, and can get the truth out of data.

โ€ข ๐—•๐˜‚๐˜€๐—ถ๐—ป๐—ฒ๐˜€๐˜€ ๐—”๐—ฐ๐˜‚๐—บ๐—ฒ๐—ป: You understand business context and can translate that to relevant KPIs and metrics.

โ€ข ๐—–๐—ผ๐—บ๐—บ๐˜‚๐—ป๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐˜€๐—ธ๐—ถ๐—น๐—น๐˜€: You can convey insights clearly and effectively from a leadership and to a junior product manager.

โ€ข ๐—–๐—ฟ๐—ถ๐˜๐—ถ๐—ฐ๐—ฎ๐—น ๐˜๐—ต๐—ถ๐—ป๐—ธ๐—ถ๐—ป๐—ด ๐˜€๐—ธ๐—ถ๐—น๐—น๐˜€: You can turn vague requirements into a clear problem and can effectively build hypotheses and test them to solve business problems.

If you master all these, you will be so successful in your data analytics career.

๐—ข๐—ฝ๐—ถ๐—ป๐—ถ๐—ผ๐—ป๐˜€ or ๐—ค๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€? Mention them in the comments!

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