New imaginations and innovations of Today’s digital world are all possible with advanced data analytics such as old and new records of any player of any sport, any banking transaction, or any information from any corner of the world. So data analytics is becoming more and more important in almost every sector that deals with a huge amount of data. Data analytics is creating enormous quantities of knowledge that can provide useful insights into the field. To get decision-making insights, the compilation of data can be supplemented by its analysis. 

Data analytics is becoming crucial as it provides businesses and organizations with insights into the massive amount of information they need for future production and growth. A report says that the term analytics has grown almost 14 times faster in popularity than the average search term on Google in the last 6 years. 

According to a report, advanced data analytics is considered one of the top 10 strategic technologies in the IT sector. Therefore several companies are turning to analytics to gain a competitive edge. They have now realized the power of data that can make better decisions, and also their reliance on data analytics is increasing. So almost every company has set data analyst job descriptions and their responsibilities/duties to get meaningful insights in order to make better decisions. 

This article is going to discuss Data analyst job description, their role and responsibilities in any organization to handle data-related issues.  

What Does a Data Analyst Do?

Data Analysts are the professionals who use data to identify inefficiencies and other business problems that need to be addressed. Their main job is to assign a numerical value to these important business functions so performance can be improved, accessed, and compared over time. But this job role is far more than just putting numbers, but it is also necessary to know how to use data to enable an organization to make more informed decisions. 

In today’s tough competitive era, data analysts are in high demand in almost every sector like consulting, finance, pharmaceuticals, manufacturing, education, and government, etc. IBM reports that there will be more than 2.7 million job opportunities for professionals with data skills by 2022. So the role of a data analyst sounds like a good fit if someone wants to make a career in this drastic domain. But it requires highly analytical, strong mathematical skills that too with a curious and inquisitive mindset. They must also be able to provide insights and analysis with clear written, visual, and verbal communications. 

Data analysts bring together educational knowledge and practice to get and convey data-driven insights that allow stakeholders, managers, and other executives in a company to make more informed decisions. These professionals are also able to account for the competitive environment, external and internal business interest, and the absence of certain data sets in the data-based recommendations that they make to stakeholders. They work with engineers, programmers, and management heads to identify process improvement opportunities, device data governance strategies, and propose system modifications. 

Types of Data Analysts- As a data analyst professional one can work across a range of areas such as Marketing, sales, Higher Education, Finance, Data quality, Data Assurance, Business intelligence, etc. 

Data Analyst’s Job Responsibilities

There are several duties, responsibilities, and regular tasks that a data analyst has to perform in his organization. Some of the important responsibilities are mentioned below. 

  •  Data analysts develop records management policies and processes.
  • They set up and maintain automated data processes.
  • They use automated tools and techniques to extract data from various sources.
  • They remove corrupted data and fix coding errors and other related issues. 
  • They find areas to increase efficiency and automation of processes. 
  • They identify, evaluate and implement external services and tools to support data cleansing and validation. 
  • They develop and maintain databases, data systems, and identify data in a readable format. 
  • They also develop and support reporting processes. 
  • They filter data by reviewing reports and performance indicators to find and correct code problems.
  • They can produce and track key performance indicators. 
  • As a priority work, data analysts monitor and audit data quality.
  • With data analytics tools and techniques, they gather, understand, and document detailed business requirements. 
  • For the above-mentioned work, they design and carry out surveys and analyze survey data. 
  • Data analysts analyze, manipulate, and interpret complex data sets relating to the employer’s business. 
  • After that, they prepare reports for external and internal audiences using business analytics reporting tools. 
  • These reports are useful for management stating trends, patterns, and predictions using relevant data. 
  • For report presentation, they prepare data graphs, dashboards, and data visualization.
  • They also can provide sector and competitor benchmarking. 
  • Data analysts use reporting tools to mine and analyze large data sets, draw valid inferences and present them to management. 
  • They also use statistical tools to search, analyze and interpret trends and patterns in complex data sets that could be helpful for the prediction. 
  • As a big responsibility, data analysts predict and analyze local, national, and global trends that can impact organizations and industries. 
  • They identify weak areas in the business that need to be addressed and to be fixed. 
  • Finally, data analysts prepare final reports for the stakeholders and other management heads to successfully understand the data-analysis process/steps that enable them to make crucial decisions based on different trends and facts. 

Bottom Line 

Data analyst job roles have become one of the most in-demand jobs globally because organizations in all sectors are increasingly depending on data to make meaningful and critical business decisions such as what product to be made, which market is best to enter, type of investment to make, which group of the customer to target, etc. Further, these data analysts can move on to higher positions like data scientists, senior data analysts, data analytics managers, business analysts, etc. 

An interesting fact for this dynamic job role is that if you are looking for this job you can choose from more than 86 thousand open jobs globally. So it is the right time to choose a career in this domain.