Career in Data Visualization !
Data visualization is the process of presenting data in graphical form to provide fact-based analysis for decision-makers who make decisions based on data.
Text data may not be able to reveal the patterns or trends needed to identify any type of data. This requires a Bachelor/Master degree in Computer Science or a Data Visualization postgraduate degree. By obtaining these qualifications, one can get the role of Data Visualization Engineer, Business Intelligence Analyst or Data Analyst in any organization and can get a salary of ā¹10 Lakh to ā¹40 Lakh.
Education Required to Build a Career in Data Visualization
Visualisation is often a key component of data analyst and data scientist work. To pursue a career in one of these fields, you'll usually need a degree in a subject that develops your analytical skills, such as math's, statistics, computer science, etc. If you want to specialise in data visualisation, you could consider studying for a data visualisation postgraduate degree.
Career Path in Data Visualization
To become a data visualization engineer, one needs a university degree in a subject that can develop the analytical skills of the individual such as math's, statistics, computer science etc. as a data visualization engineer must have strong analytical skills.
Now let us clearly understand the different types of career paths and skills required :-
Data Visualization Engineer
A Data Visualization Engineer focuses on designing and developing reporting solutions to provide decision-makers with fact-based analysis by identifying patterns and trends that text data cannot show. A bachelor's or master's degree is required for a Data Visualization Engineer position.
Business Intelligence Analysts
Business intelligence analysts focus on data analysis and business reporting. Business intelligence analysts create reports, dashboards, models, and tools to present operations-related data that is used to monitor products, make important business decisions, and forecast business productivity. They may also sometimes be required to interact with internal and external clients to communicate and communicate with each other.
They can connect and determine requirements, prioritize requirements, and ensure there is no communication gap between them.
Data Analysts
Data Analysts work on the reporting and visualization part to explain the hidden figures of data with the help of graphs, charts, etc. Their job is to analyze the data collected from sales, marketing, etc. and help the firm make better decisions by presenting their findings in the form of reports. A bachelor's degree is required for the entry-level data analyst position. There are various categories of data analysts: operational analyst, marketing analyst, financial analyst, etc.
Data Visualization Engineers
To become a Data Visualization Engineer, one needs a degree from a university in a subject that is analytical like Math's, Statistics and Computer Science as Data Visualization Engineers must have strong analytical skills.
To make a career in Data Visualization, Data Visualization Engineers must have good coding knowledge with languages like Angular.js, d3.js, Python etc.
Skill Set :-
- Strong analytical engineer, Excellent communication skills both written and verbal, Attention to detail, Excellent mathematical, statistical skills, Programming knowledge with Angular.js, d3.js, Python, query relational databases and big data platforms (NoSQL systems), HTML and CSS knowledge etc.
Application Areas :-
- Aerospace, Information Technology, Banking etc.
Business Intelligence Analysts
Business Intelligence Analysts should have good written and verbal communication skills, they should also have experience in data analysis and they should have knowledge of coding in statistical packages like R, Python, MATLAB, and SAS for data analysis.
Skill Set :-
- Good coding knowledge with languages like Java, Python, Scala etc.
Application Areas :-
- Aerospace, Healthcare, Retail Sector, Banking, Transportation
Data Analysts
A data analyst needs good excel programming knowledge and communication skills. Analytical skills are also required to work with data and draw conclusions. Data analysts present their findings in the form of understandable documents; therefore good communication (speaking and writing) skills are a must.
Skill Set :-
- Communication, Knowledge of MS Office suite (Excel, MS Word, PowerPoint), SQL Skills.
Application Areas :-
- Consulting, Healthcare, Banking, Procurement
According to information received from Indeed.com :-
Salary
ā¢ Business Intelligence Analyst: The average salary of a Business Intelligence Analyst is around $90,000 USD.
ā¢ Data Engineers: The average salary of Data Engineers is around $100,000 USD.
ā¢ Data Analyst: The average salary of a Data Analyst can vary from $60,000 to $90,000 USD, depending on the experience of the Data Analyst.
Conclusion
Data visualization is used in almost every industry today. The need for data visualization engineers is also increasing because data is increasing day by day, so unless it is presented in a more meaningful or understandable way it is difficult to understand and make decisions on it, so making a career in data visualization is really a good decision. If you are planning to explore a career in data visualization, you should consider pursuing a degree in fields related to data visualization and focus on developing analytical skills such as mathematics, statistics, and computer science.
~ Thank You !
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