What skills do you need to become a data analyst?

In addition to being well-versed in the tools and techniques we’ve explored so far, data analysts are also expected to demonstrate certain skills and abilities, which they’ll often learn while studying a course at a data analytics school. Here are some of the most important hard and soft skills you’ll need to become a data analyst:

Mathematical and statistical ability: Data analysts spend a large portion of their time working with numbers, so it goes without saying that you’ll need a mathematical brain!

Knowledge of programming languages such as SQL, Oracle, and Python: As we’ve seen, data analysts rely on a number of programming languages to carry out their work. This may seem daunting at first, but it’s nothing that can’t be learned over time.

An analytical mindset: It’s not enough to just crunch the numbers and share your findings; data analysts need to be able to understand what’s going on and to dig deeper if necessary. It’s all in the name—an analytical mindset is a must!

Keen problem-solving skills: Data analysts have a wide variety of tools and techniques at their disposal, and a key part of the job is knowing what to use when. Remember: data analytics is all about answering questions and solving business challenges, and that requires some keen problem-solving skills.

Excellent communication skills: Once you’ve harvested your data for valuable insights, it’s important to share your findings in a way that benefits the business. Data analysts work in close collaboration with key business stakeholders, and may be responsible for sharing and presenting their insights to the entire company. So, if you’re thinking about becoming a data analyst, it’s important to make sure that you’re comfortable with this aspect of the job.

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