Writing great SQL commands alone won't make you an awesome analyst

In this blog post, we'll introduce you to three essential skills other than being SQL expert that will help make you a successful data analyst. By understanding and mastering these skills, you'll be well on your way to becoming a world-class data analyst.

Great SQL = Awesome Analyst Myth Buster

Great SQL doesn’t make an awesome analyst

SQL is a critical language for database administrators and data analysts, but that doesn’t mean you are automatically a great analyst just because you know how to use it. In fact, there are many different skills and techniques that are necessary in order to be a successful analyst. Our goal in this blog post is to discuss why just knowing SQL will not make you a good analyst. By understanding and mastering these skills, you’ll be well on your way to becoming a world-class data analyst.

What is SQL and why is it important?

SQL (Structured Query Language) is a database management system that allows you to manipulate and query data stored in a relational database. It was developed in the 1970s by IBM as part of its Systems Development Studio product line. SQL is still one of the most commonly used database languages today, because it is simple to use, fast, and flexible.

SQL provides consistency between tables within a database and across databases. This makes it easy to manage large databases and track changes made to them over time. Additionally, SQL can be used to create reports on data stored in a relational database. These reports can then be exported into other formats or consumed by other software applications. Finally, SQL can be embedded into web applications so that users can easily access and interact with data from inside their browsers.

As an analyst, it is important to know how to code on SQL and automate processes using different tools. And also, having the know-how of data visualization tools, especially to use tools such as Tableau, etc., is essential. But becoming great at analytics would start when you develop skills beyond these fundamental skills.

What are the other skills to develop as an analyst?

1 – Problem Solving Skills

An effective analyst can connect business to data and break down a complex problem into smaller parts and then solve these individual parts. They are able to see the big picture (the context), understand the relationships between different pieces of data, and isolate problematic areas in order to find solutions. In short, problem solving skills enable analysts to be effective decision-making partners in today’s fast-paced business world.

2 – Structured Process to Analytics

It is very important for data analysts to have a process-oriented approach for their analytics solutions. They need to have clear goals and objectives, develop a data analysis plan, set up measurement frameworks and metrics, and regularly revisit their data analysis plans and strategies to drive an effective and efficient way of working. By following a structured procedure for performing these tasks, an analyst can connect business to data and derive useful insights.
At Aryng, we ensure that our analysts have a structured process to their analytics, which is known as BADIR.

3 -Stakeholder Management

Stakeholders are the people or entities that have a vested interest in the success of your data analysis project. They may be internal or external to your organization, and they can include customers, partners, employees, stakeholders within your ecosystem (such as influencers), etc. Listening and influencing stakeholders is essential if you want to ensure that their concerns are heard and their goals are met.

Conclusion

We can go on and on about the importance of SQL. But that doesn’t mean you will become a great analyst just because you know how to write good SQL queries. To succeed, you need to hone your problem-solving and stakeholder management skills while using a structured analytics process framework.

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