Hey Ninjas! Welcome back to the blog. As we know, we are living in a world of technology. And, in this world, data is the most important thing. Have you ever wondered how big companies read these massive amounts of data? And how do they productively use these data? The answer to all such kinds of questions is Visual Analyst.
In this blog, we will discuss the roles and responsibilities of Data Visualization Analyst (Visual Analyst).
Who is a Visual Analyst?
Visual Analytics is a vast term that includes a variety of Data Analysis methods. The primary role of Visual Analytics is to clean, analyse, and display the data using different techniques and tools. Visualising the data in charts, graphs, and maps helps the user identify patterns and design actionable insights.
What is the Domain of a Visual Analyst?
A Visual Analyst collects a lot of data from different sources, analyses it, and uses tools like Python, R Programming Language, etc., to increase the business's proficiency. There are a lot of domains where a Visual Analyst can fit precisely. A few of them are given below.
Medical and Health Care Analyst
Market Research Analyst
Business Analyst
Business Intelligence Analyst
Operations Research Analyst
Intelligence Analyst
What are the Responsibilities of a Visual Analyst?
The roles and responsibilities of Data Visualization Analyst include the following:
Use different tools to create, update and support the database with strategic decisions.
Identify and collect quality and relevant data to address problems.
Suggest strategy and plans through testing and EDA (Exploratory Data Analysis).
Use of data hygiene methods to integrate and transform data sources.
How to Become a Visual Analyst?
To build your career as a Data Analyst, you must follow these three steps to becoming successful Data Analyst.
Get a bachelor's degree: Consider obtaining your bachelor's degree in data analysis to prepare yourself for success in the industry.
Gain experience as Data Analyst: Being an intern while in college is a great way to gain practical experience. This will provide you with insights into further skill development and training. If you lack experience, finding work as a data analyst can be challenging.
Get an advanced degree: A master's degree will increase your job options and better career choices. Employers seek someone with a wide range of knowledge as well as familiarity with current tools and techs.
Along with this, a candidate with the below qualities will be preferred more.
Knowledge of data visualisation tools like Excel or other software like this.
Certified in graphic design or any other relevant subjects.
Excellent storytelling.
Excellent analytical skills.
How can Visual Analysts Improve/Contribute to the Company?
The Visual Analyst team contribute to the company in many aspects. Some of these aspects are:
Share findings and track progress: Users can track, analyse, and share relevant performance metrics across a company with the help of interactive reports and dashboards.
Make faster decisions: Users can get data insights much more quickly when dealing with and analysing data sets in a visual style.
Explore data more easily: Without the help of IT, users can find hidden links and patterns in the data using self-service analytics tools that enable them to engage with the data in a visual environment.
Promote data literacy: Visual Analyst becomes more visible by making data easy to use and analyse, involving more people inside a company.
What is the Salary of a Visual Analyst?
Designation
Average Salary
Visual Analyst (0-2 years experience)
₹3,67,786 per annum
**The salary mentioned above is only an estimate. The actual salary may vary.**
Skills for Visual Analyst
The skills required for this role are listed below.
Cleansing and preparing data
Expertise in statistics
Analysing and visualising data
Communication skills, both written and oral
Excellent maths skills
Attention to detail
Communication and writing
Solution-oriented
Analysing and exploring data
Reports and dashboards
Expertise in the domain
Till now, you must have got an insight into the roles and responsibilities of Data Visualization Analyst. Let us look into the top companies looking for Visual Analysts.
Top companies for Visual Analyst
Below are some of the top companies for Visual Analyst to work for.
Note: Apart from the above-mentioned companies, there are many other companies which are good for the role of a Data Visualization Analyst.
Frequently Asked Questions
Do data analysts get paid well?
Yes, a data analyst in the US can make an average of $43K and $95K annually. At the same time, the annual pay for a data analyst in India is INR 500K with two or more years of experience. This varies according to the company.
Is data analytics a good career?
Today's data-driven world has a high demand for skilled data analysts. Due to the high service demand, skilled analysts can command excellent wages and benefits.
Is it difficult to work as a data analyst?
The work of a data analyst has both complexity and simplicity. It's challenging to understand statistical apps like Excel and Tableau as well as coding languages like Python.
What is the work of a Visual Analyst?
Beginner analysts often collect, analyse, sort, and build data models. Expert Analysts invest a lot of time in creating investment ideas and discussing options with management teams.
Who does a Data Analyst work with?
The type of industry a Data Analyst works in defines who they work with. Data analysts are hired across various sectors, including finance, business, science, government, and medicine.
Conclusion
In this article, we discussed the topic of the roles and responsibilities of Data Visualization Analyst. We started by introducing Visual Analyst. Then we discussed domain, responsibilities, career, contribution, salary, skills, and top companies for Visual Analyst.
We hope this blog has helped you enhance your knowledge of the roles and responsibilities of Data Visualization Analyst. If you want to learn more, then check out our articles.
But suppose you have just started your learning process and are looking for questions from tech giants like Amazon, Microsoft, Uber, etc. In that case, you must look at the problems, interview experiences, and interview bundles for placement preparations.
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