Data analysts are in greater demand now than ever before. In fact, the US Bureau of Labor Statistics predicts a 25% increase in employment for data analysts by the year 2030, making data analytics one of the industries with the fastest growth rates in the nation.

However, how to be a data analyst? What kind of skills are required? What benefits of being a data analyst?

Everything you need to know to succeed as a data analyst will be covered in this article, including how to get started, what actions to follow, and the skills you should pick up along the way.

What is Data Analytics?

For the organization's benefit, data analysis is used to examine information gathered from various sources in order to achieve some specific goals. Data analysis is not only utilized for research and analysis; it also aids businesses in understanding their customers better, creating marketing plans, and streamlining product development, to name a few sectors.

Who is a Data Analyst?

Data analysts are responsible for huge dataset gathering, preparation, and evaluation. No matter its size, every firm produces and gathers data. A data analyst is an expert who makes decisions based on this data, such as, for example, how to improve customer experience, price new products, and reduce transportation costs. Data analysts specialize in data handling, data modeling, and reporting.

How To Become a Data Analyst In 2023

Here are all the requirements to become a data analyst, from subject knowledge to different technologies.

• Degree and Domain Expertise:- You should possess domain expertise in the field you are working in and possess a degree in any pertinent field. If you have the necessary skill set and come from a different background, you can still become a data analyst.
• Knowledge of Programming Language:- Python, R, and JavaScript are a few examples of programming languages that you should be familiar with. Writing exercises will help you find solutions to difficult problems.
• Knowledge of Data Visualization Tools:- A data analyst needs to be proficient in using a variety of data visualization tools to produce various business reports. The use of applications like Tableau, QlikView, and Power BI should be familiar to you. Strong communication and presentation skills are also required. You can use this to help you explain your ideas to clients and other stakeholders.
• Knowledge of Statistics and Machine Learning Algorithms:- You must be familiar with ideas like probability distributions, hypothesis testing, regression analysis, and different grouping and classification methods.
• Knowledge of Data Analysis Tools:- You should have previous experience with databases and tools for data analysis. You should be proficient in creating SQL queries and procedures and knowledgeable with Microsoft Excel, Matlab, and IBM SPSS in order to perform trend analysis and planning to obtain precise insights.

Why Do We Need Data Analysts?

In order to make crucial decisions regarding the creation of a new product, forecast sales for the near term, or learn about entry into new markets or new client segments, organizations from various fields or industries rely on data analysis. Data analysis is also utilized to identify various organizational inefficiencies by analysing business performance based on current data.

Skills Required to be a Data Analyst

A data analyst generally has to possess two different types of skills:

• Technical Skills:- R, SQL, Microsoft Excel, Tableau, and other technical languages and tools, as well as mathematical, statistical, and data visualization skills. These technical abilities would assist an analyst in actually using the data and visualizing the outcome in a way that would be advantageous to the company.
• Decision Making:- To deliver the results and walk the executives through the numerous changes, trends, demands, and problems is absolutely required. To be able to make rational, factual, and advantageous judgements for the company, in-depth study is necessary. Before recommending a course of action, data analysts need to be able to think strategically and take a comprehensive view of the problem.

Benefits of being a Data Analyst in 2023

• The Harvard Business Review lists data analyst as one of the most difficult jobs with the highest pay and perks. Additionally, 70% of job advertisements for data analysts call for less than five years of experience.
• One of the key elements that contributes to a Data Analyst's high level of demand is their pay. In comparison to other occupations, the remuneration for a fresher is greater, ranging from INR 5 to 6.5 LPA.
• One of the key scalability aspects that comes to the forefront when talking about a Data Analyst job is flexibility. A data analyst has the versatility to work in a variety of industries, including IT, banking, healthcare, education, and others, and is not just limited to one single profession.
• Compared to any other job, becoming a data analyst is the easiest process. Even though they lack the necessary educational qualifications, leading firms hire candidates with the necessary skill sets and knowledge.

Scope of Data Analytics in 2023

Data analytics services are in high demand across the globe. A survey states that 250,000 new job vacancies in the field of data analytics are anticipated in 2023, which is over 60% more than the demand in 2019–20. Organizations are using data analysts to keep one step ahead of the competition, and demand for these professionals will only grow.

Conclusion

There is no better time than now to start working in data analytics! Leading businesses use analytics to make better decisions and drive corporate growth, and they are constantly looking to hire bright, talented individuals with the skills they require. 

There are numerous institutions offering organized Data analytics courses with a range of learning alternatives. It is crucial to choose a platform that offers live sessions, skilled mentors with experience in the field, and, if at all possible, an internship and real-world projects.

The course bundle for the DataMites® Certified Data Analyst (CDA) focuses on advanced analytics and business insights. Because it is a NO-CODE software, managers and data analysts who have no programming experience can master complex analytics. The course is rigorously updated in accordance with industry standards and fine-tuned to create a structured learning environment that supports lean learning.

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