A Quick Guide to Data Analytics Career Path in India

A data analyst’s job is to make sense of the numbers behind the information gathered by an organization. With rising demand, data analytics has become one of India’s highest-paying professions. Data analytics is commonly understood to be the process of examining data sets for the purpose of drawing conclusions based on the information provided by means of specialized software.

 

This article will go over the data analytics career path in India, covering topics such as how to become a data analyst, data analyst training, the duties and responsibilities of a data analyst, necessary skills for the position, available positions, and potential for advancement.

 

A quick guide to data analytics career

 

A Brief Introduction to Data Analytics

Data analytics is one of the technologies that is growing the fastest and has a lot of potential in the IT field. One can be overwhelmed by which data analytics career path to choose. To start with, let us understand what data analytics actually means. Data Analytics refers to analyzing raw data, understanding the use of data, and arranging the data into data sets.

Then, these data sets are used to assess trends and figure out what the information means. All of this is done with the help of systems and software designed for this purpose. Demand for data analytics professionals is very huge but the constraint is finding the right person for the job.

 

Role of a Data Analyst Within an Organization:

The role of a data analyst is to collect data, process the data, clean the data with the help of primary and secondary resources and analyze the data for its use in the business. Some who want to make a career as a data analyst need to have knowledge of tableau which is a kind of software for business intelligence as well as programming knowledge such as Python, SQL, Java, and so on.

This will help the person develop and design dashboards as well as manage relational database management systems (RDBMS) of various departments inside of the organization. The main purpose of a data analyst is to identify the targets of an organization and work alongside data scientists and IT managers as well as IT executives to achieve these targets.

Sometimes they also need to identify the business trends, patterns, and similarities between the data collected and use it for the prospective development of a particular product. The main job description of a data analyst includes observing the data, putting together these observations in a relevant document, and conveying them to the interested parties of the business (i.e all stakeholders).

 

How to Get a Job as a Data Analyst?

A data analyst’s job is to identify data, how it can be used to enhance the customers’ business, and ways to solve the problems related to the business. These professionals evaluate complex data from businesses, such as consumer behavior, sales figures, and market research.

Data analysts use their technical skills to examine the data for accuracy and quality in an effort to aid organizations in reaching wiser and easier decisions. In the below points, we will discuss the data analytics career path in India

 

1. Complete your Bachelor’s degree.

A bachelor’s degree in statistics, computer science, or a similar discipline is recommended for those seeking employment as a data analyst. Mathematics, statistics, and computer science are all examples of such disciplines. Gaining a degree will make a wider variety of employment possibilities available to you in the data analytics career path.

You can get started as a data analyst even if you don’t have a degree, you can pick up useful application skills as you study for your degree through various online courses. To succeed as a Data Analyst, some of the application skills required are listed below:

 

  • RDBMS on Microsoft SQL Server
  • Queries in Microsoft Excel for Data Analysis
  • Making Dashboards using Python and Power BI

 

2. After completion of a Bachelor’s degree

Students who complete a bachelor’s degree program in data analysis have various paths open to them. Below, we have outlined two primary choices.

  • Choice Number 1. Candidates can start working at an entry level after completing a bachelor’s degree program. After a few years in the field, he or she may decide to pursue a master’s degree in the relevant field of study.
  • Choice Number 2. Students who have completed their bachelor’s degree may immediately enroll in a master’s degree program without any gaps. It is possible to start working at an entry level after completing a master’s degree program.

 

An entry-level position in the field of data analysis will provide you with invaluable experience in real-world situations requiring data analytic skills. Professional data analysts are in high demand across all industries. Job prospects in the area of data analytics career path are excellent, as the role is crucial to the expansion of most firms.

The roots of data analytics can be traced back to fields such as business analytics, statistics, sociology, communication, and computer science. These professionals must be numerate pros, but they also need to be able to communicate well and think critically.

All of these analyses need to collaborate closely with the project manager to help get things ready for launch. Business analysts can advance to management roles like senior business analysts if they’ve met the necessary requirements.

 

3. Get hands-on experience in the field of data analytics through internships and other training programs.

The very first thing in the data analytics career path is to learn and build the specialized vocational skills necessary for a data analyst position, in addition to the required bachelor’s degree. Data analyst internships and support roles can help you develop skills if you intend data analytics career path.

Programming languages as well as working with SQL databases, data visualization, and data warehousing is very necessary.

 

4. Take certification examinations into consideration.

An important aspect of the data analytics career path is certification to be considered. You can get an entry-level job in data analysis with no prior experience provided you have the right certifications. You’ll learn and hone the abilities you’ll need for this job thanks to the training you’ll get from taking the certification exams.

In some classes, you’ll get to work on projects that can be added to your portfolio. Some of the certifications to be considered are listed below:

  • Data Analytics Certification Courses
  • Data Analysis Certification Courses
  • Big Data Analytics Certification Courses
  • Data Analysis with R Certification Courses
  • Machine Learning and Data Analytics Certification Courses
  • Free Data Analytics Certification Courses

 

Below Listed Are the Skills a Data Analyst Should Have:

 

Skills in Programming:

These are essential for data analysts and scientists because so much of the work they conduct is tied to specific programming domains. A computer programming language is used for all technical work, from initial data cleaning and analysis to the final step of implementing appropriate machine learning techniques.

A big data analyst’s skill set should include fluency in one language and a handful of other practical skills. Data analysts utilize languages like R and SAS in order to gather data, clean data, assess statistics and show data.

 

Skills to Analyse:

The ability to analyze data and use logic to identify trends or draw conclusions is a crucial ability for any data analyst, and this ability is best demonstrated through analytical capabilities. The analysis is used in the workplace to sift through conversations, files, images, charts, and graphs to find what’s most relevant.

The qualities that make a data analyst effective include curiosity and originality. Although a solid grounding in statistical methodology is beneficial, it is far more necessary to approach problems with a creative and analytical mindset. The analyst will be better able to come up with intriguing research questions to help clients better grasp the subject at hand.

 

Skills for Effective Communication:

Knowledge is shared from one place, person, or group to another through effective communication. One communicator, one message, and one receiver are necessary for communication to take place. Although it may appear simple, communicating effectively is a significant challenge.

Analysts working with large amounts of data must effectively convey their findings to either the general public or a select group of high-level company decision-makers. To achieve any goal, effective communication is an essential part of the data analytics career path.

 

Data Visualisation:

In the field of data analysis, data visualization refers to the process of transforming enormous amounts of abstract data into visuals and diagrams that are clear and easy to understand, providing useful insights to stakeholders, investors, and other team members.

There are a variety of methods that can be used to effectively visualise data. Analysts working with massive amounts of data know how to tailor their diagrams, charts, and visualizations to the specific needs of their audience.

 

Machine Learning:

It is a technique for analyzing data that makes it easier to construct mathematical models. It’s a method predicated on the hypothesis that computers can learn to analyze data, spot trends, and draw conclusions with little to no human guidance.

Machine learning experts are in high demand in the data analytics industry, yet this is not an anticipated talent for traditional data analysts. One must make a proper decision in choosing the right curriculum in machine learning while considering the data analytics career path.

 

Knowledge in Database:

You can create, read, modify, and remove tables from a database with the use of database query languages. Data scientists, software developers, data analysts, and a wide variety of other professions rely heavily on database querying languages because of their descriptive and domain-specific nature.

SQL is the most often used compilation language among data analysts, and there are multiple variations of SQL, such as PostgreSQL, T-SQL, and SQL.

 

The above knowledge skills can help you in real-world settings such as corporations or tech companies, where you can obtain the hands-on experience you need to go up the ranks as a data analyst. Let’s say you’ve decided to pursue a degree at the undergraduate or graduate level in this area.

Along with the degree, you could also apply for Internship programs if you choose a data analytics career path. Internship opportunities are abundant in the field of data analysis. Internships are a great way to gain exposure to the field of data analysis and meet experienced professionals who can act as mentors.

Interns might choose to work for a variety of organizations that have varying needs and requirements. Using internet recruitment sites, one may find numerous internship opportunities. Internships provide big data analysts with practical training. Internships are most commonly found in universities and private businesses.

 

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Scope of Data Analytics

Companies are under increasing pressure to adopt strategies that ensure increased profits and decreased overhead costs in light of the rapid pace of technological development and the emergence of new business issues.

To better match their operational structure with industry needs and requirements, businesses may need to store and secure huge amounts of data across all of their departments, including research, marketing, sales, product development, and customer support.

The term “data analytics” refers to the methodical use of computer programs to examine and model data sets. Companies must conform their organizational structure to industry standards, which include standardizing data storage and security solutions.

In the not-too-distant future, there will be a meteoric increase in the need for skilled data analysts. It has been determined that India is the world leader in the analytics market for big data. As a result of the transformation our nation is through, the volume of information available to us is expanding at a dizzying rate.

Hiring a big data professional to gain insights from data has become crucial for most businesses nowadays. Several factors are necessary for delving into business analytics, including the right company goals, technologies, resources, organizational culture, and top-level management commitment.

There is a great need for data analysts, and employers are willing to provide a competitive salary for qualified candidates. Financial services, law enforcement, healthcare, telecommunications, e-commerce, energy management, and risk assessment are just some of the areas in India where data analytics is being put to use.

JPMorgan, Accenture, Microsoft, Adobe, Flipkart, AIG, Ernst & Young, Wipro, Vodafone, and Deloitte are just a few of the top organizations with a plethora of available positions.

 

The Typical Salaries One Can Consider in Data Analytics Career Path

The average salary of a data analyst ranges from $60,000 to $120,000. The average compensation for a data analyst is $83,750, while the range for a senior data analyst is $118,750 to $142,500.  In India, entry-level salaries range from Rs 3 to 4 lakhs per year.

A data analyst with 4 to 5 years of experience after completing a certification or postgraduate diploma program in the field can get an annual salary of Rs 10 lakhs. A person with more than 10 to 12 years of expertise can expect to earn up to Rs 25 lakhs per year in salary.

Foreseeing a prosperous future in data analytics has piqued the interest of many professionals and students. The future is bright for everyone who enjoys working with numbers, is analytical, can make sense of data, and can apply what they learn in the real world.

The first step would be to receive adequate instruction and to familiarise oneself thoroughly with the methods and resources of data analytics. Professionals in this field are in short supply because it is difficult to study for the exam and become certified.

 

Data Analyst Roles

Below is a summary of some of the various roles you may discover when researching or contemplating a data analytics career path.

 

  • Corporate strategy analyst: Wide data and provision of strategic advice are the primary responsibilities of a corporate strategy analyst. Mergers and acquisitions (M&A) may also play a significant part in this position.
  • Business Analyst: Analyses information relevant to a company’s operations.
  • Management reporting: Data analytics for management reports on company operations.
  • Budget analyst: A budget analyst’s job is to examine and report on a given budget.
  • Compensation and benefits analyst: A member of the human resources team, the compensation, and benefits analyst examines employee pay and benefits.
  • Insurance underwriting analyst: An underwriting analyst in the insurance sector uses statistical analysis to help underwriters make informed judgments about policy coverage.
  • Web analytics: A method that does in-depth research into a website, page, or topic using a “dashboard” of data.
  • Sales Analytics: Sales analytics is the study of sales data with the purpose of bolstering, enhancing, or optimizing the sales process.
  • Actuary: Probability tables, risk forecasts, and liability planning for insurance companies are all products of an actuary’s analysis of mortality, accident, sickness, disability, and retirement rates.
  • Fraud analytics: Analytics for fraud involves keeping an eye on and sifting through all the information gathered from monitoring fraudulent activities.
  • Business product analyst: The primary duties of a business product analyst include determining the most profitable price points for products in light of market conditions and examining products’ features and benefits.
  • Credit analytics: Analytical and information science skills are in high demand in the credit industry, particularly in the areas of credit reporting, credit monitoring, lending risk, lending approvals, and lending analysis.
  • Social media data analyst: Analyst of data used by social media platforms to develop, track, and improve the software and services used by users.
  • Machine learning analyst: In order for machines to make intelligent decisions, they need to be trained and fed data. Data preparation, data feeds, analysis of outcomes, and other tasks may fall under the purview of a machine learning analyst’s duties.

 

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Data Analyst Responsibilities

A Data Analyst’s day-to-day tasks include:

  1. Data system and database design, implementation, and maintenance; troubleshooting and correction of code and data issues.
  2. Showing how their work is relevant to larger industry and business trends at the regional, national, and international levels.
  3. Analyzing data sets with statistical methods, giving special attention to patterns that can aid in diagnosis and forecasting.
  4. Gathering information from various sources (both new and old) and rearranging it such that it can be read and understood by both humans and computers.
  5. Utilizing available resources to compile and provide reports for senior leadership that clearly articulate trends, patterns, and predictions.
  6. Working in tandem with developers, engineers, and company executives to analyze current processes, make recommendations for enhancing those processes, and create data governance policies.
  7. Properly documenting the data analysis process so that stakeholders can comprehend it and repeat it if necessary is a must.

 

Possibilities for Data Analysts in the Future

Recent data from the Bureau of Labor Statistics indicates substantially faster-than-average job growth for the field of market research analysis, with job openings projected to increase by 20% over the next decade, and for the field of management analysis, by 14%.

 

Here Are Some of the Potential Outcomes of a Data Analytics Career Path:

  • Determining business objectives in collaboration with IT departments, upper management, and/or data scientists
  • Gathering information from several sources – primary and secondary
  • Eliminate extraneous information by cleaning and trimming data
  • Conducting statistical analysis and making inferences from the data collected
  • Locating patterns and tending to correlations in large data sets
  • Find ways to enhance the current procedure
  • Providing management with clear data visualizations and streamlined data reporting
  • Developing and managing data-driven applications and relational databases
  • Stress the importance of addressing data issues and coding glitches
  • The Structure of a Database
  • Mining Data
  • Data munching and cleaning
  • Methods for Displaying and Reporting Data

 

FAQs About Data Analytics Career

 

Question. Is data analysis a desirable profession?

Answer. Yes, it is. One of the most in-demand professions around the globe is that of a skilled data analyst. As a result of the great demand for their services and the limited supply of qualified candidates, data analysts can expect high starting salaries and generous compensation packages. Therefore, if you’re looking for a rewarding profession, consider becoming a data analyst.

 

Question. What are the steps I need to take to enter the field of data analysis?

Answer. Gaining practical expertise with SQL, XML, and other technologies, as well as computer languages like Python, R, and Hadoop, will help you become a data analyst. Experience with industry-leading analytics technologies, such as Google Analytics and Adobe Analytics, along with strong communication and creative abilities are also desirable.

 

Question. What is a Data Analyst’s Average Salary in India?

Answer: Data analysts can make anywhere between 3 lakhs to 10 lakhs per year as a fresher with no experience to someone with experience, advanced degrees, and professional certifications in the area. Pay is proportional to the analyst’s efficiency and precision.

 

Question. Is coding necessary for data analytics?

Answer. Expertise in analysis and research predates big data, which is why the role of the data analyst is already well-established. Technologies analysts don’t need to know how to code, but they should be familiar with data management, analytics, and reporting software.

 

Question. Is “data analyst” a job title that falls under “information technology?”

Answer. The role of a data analyst in the IT industry is comparable to that of a software engineer and data scientist. To help stakeholders make educated business decisions based on data, a data analyst acts as a gatekeeper for that entity’s data. Having a bachelor’s or master’s degree in analytics, computer engineering, science, or mathematics is typically required for entry-level positions in this field.

 

Question. What is the key difference between a data analyst and a data scientist?

Answer. They both deal with data, but how that data is used is where the key difference lies. Most data scientists also have skills in programming and mathematical modeling, in addition to their strong ability to interpret data. Most data scientists have a graduate degree, and some have even worked their way up from the ranks of data analysts.

 

Question. How optimistic is the job market for a Data Analyst?

Answer. If you’re a competent data analyst, you have many options for your professional future. Companies of all sizes require the services of data analysts so that they can enhance existing business processes, answer complex business questions, and complete a wide range of data-related initiatives. Patient analytics is a growing field for data analysts, and hospitals need them to keep tabs on patients’ well-being.

 

Summary

A Data analyst needs expertise in several areas, including economics, management, and administration. Due to the fact that all business choices are made on the basis of the information gathered, this is one of the fastest-growing fields. Certifications in data analysis are in high demand among both new and seasoned professionals. There are several reputable training facilities that offer credentials in business analytics software if you choose a data analytics career path. Take your data analytics career to the next level by becoming a professional.

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