These are the following skils are important for data analyst:
Critical Thinking
Critical thinkers can look at a problem or scenario and formulate an understanding of how and why the problem exists. The ability to understand the full scope of the problem is the first important step towards developing effective solutions.
Curiosity
Why are things the way they are? What makes things tick? A curious nature and a desire to dig deeper to solve problems are essential tools for a data analyst. Data science involves analyzing and interpreting numbers, and an active curiosity goes a long way in this field.
Research
You can’t make sound data-based decisions until you actually find the data. Thus, the ability to uncover data through reputable sources is vital, making strong research capabilities an essential trait for data scientists.
Tenacity
Not all problems are straightforward, especially in the world of data science. Many challenges have multiple layers, each with its complex nature. Sometimes, this complexity and lack of a simple linear track can cause people to give up. Strong analytical skills mean seeing beyond one issue at a time to develop a more cohesive view of a problem's complexity.
Attention to Detail
When handling large sets of data, it’s easy to overlook details that might be essential to a project's outcome. Successful data scientists analyze mountains of information and use their ability to pay attention to detail to identify and use the most important data sets.
Foresight
Data science is about finding solutions and seeing the bigger picture and looking ahead to understand how a current issue may affect the company one, five, or even 10 years from now. Data scientists can take today’s insights and project them into possible outcomes far into the future.
Good Communication
Effective communication is a fine art, and it’s one that successful data scientists refine throughout their careers. Because they often communicate essential information to executives and stakeholders, they must be confident about the data they present and relay it in terms that the layman can understand. You can create the best actionable solutions anyone has ever seen in the history of IT. Still, unless you can relay that information to the people in charge, those solutions won’t go anywhere.
The Ability to Communicate the Big Picture
Call this one a subset of “good communication.” Data scientists have the unique ability to take information that might seem irrelevant and spin it into a story that communicates how it will make an overall impact, even in areas where one would typically not think of.
Problem Solving
An expert data sciences professional can look at an issue from multiple angles in order to formulate the best solution.
Decision Making
Data scientists make decisions every day, many of them instantly. This requires robust and confident decision making capabilities.
Business Sense
Data scientists use their acquired information to create actionable solutions for businesses. Therefore, they need to understand the nature of the field and specific business they’re working in to come up with solutions that fit best.
Writing Efficient, Maintainable Code
Data scientists work with data, which means they work with systems that process and analyze data. A good data scientist needs to understand how to use programming languages so they can create algorithms or programs to parse data and APIs to collect and prepare data.
