Wondering how to make a career in a job that is data-driven?
You are not alone. To start with – scanning job postings can be a good idea, but many roles in the industry are highly specific to certain skills. This makes it very difficult to choose which one of the data analyst skills is most important.
Data today touches almost every aspect of our lives and the amount of data to work with has grown exponentially. With this, most companies have realized that having a data-driven business strategy is a profitable business as traditional business intelligence and analytics won’t be able to keep up and are now investing in acquiring talents that can provide insight from these data. That’s why Data Analysts are in such high demand.
There are plenty of data analyst jobs in the market but to get hired you need to prepare yourself with the following
To develop data analyst skills, you need these 3 things:
- Learn technical skills
- Learn fundamentals of Statistics
- Build data analyst projects
The top 5 most asked data analyst skills are:
- Microsoft Excel
- R programming language
- Data Visualisation
- Presentation Skill
|Read more at Praxis: Difference between Data Science and Data Analytics
Here is a Closer look at 5 most important data analyst role in the current scenario
SQL or structures query language was created in 1970 but plays a pivotal part in data analysis today In modern analytics, SQL continues as the standard means for querying and handling data in relational databases. SQL helps in handling large data files that excel cannot and as you might know that a data analyst’s job is to deal with big data so learning SQL should be your first step.
People tend to not give importance to MS Excel when they have bigger tools at their disposal but it is a skill that is a must-have if you are looking for a data analyst job. Over the years, this tool has remained a backbone for companies in every industry, therefore learning it is a must.
R Programming Language
One of the most pervasive & accepted languages in data analytics is R. The programming language interests businesses because it can manage complex or large amounts of data. Given its repute and functionality, studying R should be high on the preference list for any ambitious data analyst.
As the name suggests, Data visualization is the ability to present the data in the form of charts, graphs, or other illustrations. This facilitates a better understanding of insights drawn from a set of data. With data visualization skills, a data analyst can assist a business decision-maker to make decisions at a glance.
Data visualization and data presentation go hand-in-hand. A person must know how to present his data for others to understand.
Data analytics could be the career for you if you prepare yourself well.
Read if you want to know Important Data Engineering Interview Questions 2022!