What is Data Analytics, and What Does a Data Analyst do?

Data Analytics is a subsection of data science that involves the processing of data to make it useful. The goal of processing data is to get insights that help businesses make decisions that help them grow. In today’s market scenario, data analytics is an important aspect to succeed and thrive in the industry. 

Data can help make industries and businesses better. You can expect to understand your customers, improve your services, bring out products and schemes that a consumer might want, all with the help of the presence of data. There are many instances of how data can be useful, but in most cases, proper analysis of the data is required before it can be of any practical use. 

Data Analytics is what bridges the gap between raw data and useful insights. With proper data analytics tools, you can easily use data to get important insights with high potential to help you grow your business. In this day and age, data holds a lot of power and therefore, a career in Data Analytics is one of the most sought-after careers. Professionals from all around the world are doing Data Analytics training to get started in this up-and-coming field. 

What is Data Analytics?

Data Analytics is a term that is used to define a series of processes and techniques that help analyze and examine datasets. The goal is to draw tangible conclusions and insights from the data to support important business decisions. Data Analytics helps derive important information that is contained in raw data. 

The importance of Data Analytics in the business and corporate world has increased in the past few years and is expected to increase significantly in the coming years as well. Therefore, at present, the Data Analytics industry is at an all-time high. This makes it the perfect time to enter this industry and have a successful career. 

What does a Data Analyst do?

The role of a data analyst is to find, analyze and extract important information from raw and unstructured data. This can be done using a variety of tools that are available in the market. The typical duties of a data analyst include scrutinizing information, getting meaningful results, pulling insights from raw data, identifying trends and sequences in data, interpreting what these trends and sequences imply, and using advanced technical skills to achieve targets.

Some of the main roles of a data analyst include – 

• Using technical and advanced computer models of analysis to derive conclusions
• Sorting and arranging raw and unstructured data
• Assessing the overall quality of the data and removing any unwanted or corrupt data
• Start with an initial analysis of data to ascertain the type of insights that can be found
• Do in-depth analysis that will provide tangible results
• Provide reports and insights that help in making important business decisions 

What are the career opportunities for Data Analysis professionals?

These days, all types of industries and companies are hiring Data Analysts to work in their teams. The demand for data analytics professionals is very high in the market. Banks, manufacturers, public sector organizations, consultancy firms, information technology companies, colleges and schools, pharmaceutical companies, software development firms all hire data analysts for their teams. 

People who pursue a course or training in the field of Data Analytics can find work as – 

• Business Intelligence Analysts
• Data Analysts
• Data Scientists
• Data Engineers
• Operations Analyst
• Data Analytics Consultant

Data Analysts get highly competitive salaries for the work they do. As the field is new and the demand for trained professionals is high, companies tend to pay higher to qualified candidates. You can land a job in some of the top global companies by pursuing Data Analytics training. 

Why do companies hire Data Analysts?

Companies and organizations all around the world hire Data Analysts to help improve their operations, marketing, and decision-making processes. The insights that are gained by analyzing data help companies grow and make better use of their resources. Therefore, most companies these days have a dedicated team of data analysts that help them decipher raw data. Some of the top reasons why companies hire Data Analysts are – 

• Decision Making

Better outcomes for the company and the employees are dependent upon the overall performance of the company. This, in turn, is dependent upon the decisions that have been taken by the top management officials of an organization. Data Analytics helps businesses make better and smarter decisions. With the knowledge and support of data as proof, better decisions can be made for the growth of the company. 

• Customer Service

Customer satisfaction is one of the top priorities of companies that deal with customers directly. Data that has been collected from the customers can help businesses understand the needs and requirements of the customers and develop products and services accordingly. This helps the businesses grow and also benefits the consumers. 

• Operations

Business operations are an important and complex part of running a business. Data and data analysis can help make the process simpler. Streamlining the various aspects of this process can save money and help companies grow faster. With a better understanding of what the average consumer wants, the operations can align with what the consumer wants and achieve better results. 

• Marketing

Marketing is all about the consumers and therefore, consumer data helps analysts and marketeers understand the consumers and the market better. To make an effective marketing and sales strategy, businesses heavily depend on data to provide insights and directions. 

Data Analytics is a booming field of work and a training course in the field can help you reach your full potential. Data is the future and by starting a career in this field, you can expect a good scope of work. Data that is turned into actionable insights can help businesses and corporations grow and gives them the ability to provide exactly what the consumer wants.