Data Science is a field that is constantly growing and its demand will continue to increase significantly in the coming years. In recent years, data has become an essential part of business operations. Therefore, the demand for Data Analysts is at an all-time high. Professionals who are trained data analysts have a great scope of work and growth in their field as Data Science is an emerging field of work.
Data Analysts are professionals who are responsible for extracting, analyzing, and presenting data in a structured format that helps businesses make decisions and grow. To enter into this field, you can enroll in a data analyst course that will help you gain the required skills and become a data analyst.
Highly trained data analyst professionals can get numerous job opportunities in varying industries and expect to be paid generously for their skills. Companies are dealing with large volumes of data regularly and want professionals who can help them collect, preserve, analyze and present data in meaningful ways. Jobs in this field are plentiful and the compensation packages are much higher than in other fields. Data Analysts are required to find trends in huge volumes of data and use this data to help support important business decisions.
Data Analysts are in high demand in every industry and some of the reasons include –
1. Organization of Data
Companies, big, medium, or small, are all using data to help their business operations. Big tech companies such as Google and Facebook use customer data to introduce marketing campaigns, targeted advertisements, and various other business processes. With everything shifting from offline to online, the collection of data has become easier. This also means that the amount of data is growing significantly. Organization of such data is a tedious and technical process and organizations prefer to hire Data Analysts to help organize the plethora of data available. Data Analysts help in bringing out useful information from a load of data, which in turn helps the organizations.
2. More Demand and Less Supply
Data Analysts is one of the top careers one can pursue in this day and age. This is because the demand for trained professionals in the field of Data Science is much higher than the supply. There are fewer Data Analysts in the market as compared to the job opportunities. Therefore, this is the perfect time to enter the industry and make the most of the market situation. Companies and businesses have the necessary technical tools required to process the data but require trained data science professionals who can use the tools and the data to provide meaningful insights.
3. Competitive Pay Structure
One of the many reasons why a job as a Data Scientist is still considered one of the top jobs is because of the pay scale. As the demand for trained professionals is increasing, so is the salary structure. Companies are ready to pay a significant amount to talented individuals that can help them make better decisions and contribute towards the growth of the company. If you have the right skill set and can find a company that is looking for an individual like you, you can expect great salary packages right from the entry-level. With sufficient experience in the industry and skill development throughout the years, you can expect to earn much more in the coming years.
4. Various Industries
When the importance of data was understood, only tech companies such as Google and Facebook used data to its full potential by hiring Data Analysts. However, in recent years, the data boom has resulted in various industries and fields using data to help make decisions, get insights and reports and use it in their day-to-day operations. This has resulted in a significant increase in the number of job opportunities available and diversification of the industries Data Analysts can work in. Smaller firms are also hiring analysts to ensure that data supports all their important business decisions. You can work as a Data Analyst in whichever industry you have an interest in.
5. Flexibility in Job Roles
Flexibility is one of the most important positive aspects of working as a Data Analyst. With the opportunities ranging from different industries and fields, the work scope and job titles are flexible. You can work as a Big Data Analyst, a Big Data Analytics Business Consultant, an Analytics Associate, a Metrics and Analytics Specialist, a Business Intelligence and Analytics Consultant, a Big Data Solution Architect, or a Big Data Engineer. The nature of the job makes you eligible to work in any industry irrespective of your previous qualifications. If you are a skilled Data Analyst, you can easily find job opportunities in various fields and have flexibility in your job roles and titles.
6. Subsections of Data Analytics
Data Analytics is an umbrella term that houses multiple types of analysis. In the job market, you will find numerous types of roles that would include different types of analytics. Some of the most common analytics companies are interested in are Predictive Analysis, Descriptive Analysis, and Prescriptive Analysis. The type of work would depend on what the companies want from the data and what type of data is available. You can specialize in one of the different types of data analytics to make your skills specific and streamlined or can pursue general data analytics.
7. Opportunity to Work in Top Global Companies
A course in Data Analytics can help you land a job in some of the top global companies. There is a huge array of companies that hire data analysts these days. Some of the top companies that hire data analysts are Oracle, Opera, Google, Facebook, Microsoft, IBM, etc.
Analytics is dependent on both technology and human insights and therefore, there is a huge demand for trained and skilled professionals who can contribute towards the betterment of the company they are working for. From a business point of view, data is of the utmost importance and its importance would not cease to exist in the coming years. The job and role of a Data Analyst would continue to increase in the coming years and more and more companies start using data as a basis for their decision-making process.
