Do you take pleasure in assembling jigsaw puzzles? Do you possess a trick that enables you to finish the puzzle before your friends? You can benefit from data analytics since it works similarly to putting together a jigsaw puzzle.

Jigsaw puzzles can be solved most effectively and simply by gathering all of the puzzle pieces and then accurately fitting them together to form the desired image.

Similar to this, data analytics calls for you to clean, organize, and then translate data obtained from diverse sources into information that others can understand.

Do you want a career as a data analyst or are you just interested in learning more? In either case, you’ve arrived at the ideal location! This blog covers a variety of topics, including how to become a data analyst, the skills needed, top recruiters, compensation, and more.

What does a Data Analyst do?

Data analysts work to comprehend the issues that the organization needs to have answered and to ascertain whether data can provide those answers. They must be aware of the technical problems involved in data collection, analysis, and reporting. They must possess the ability to spot trends and patterns. Key duties of data analysts, according to Workable, include:

  • Employing statistical methods to analyze data and generate reports
  • Constructing and putting into use databases and data collection systems
  • Collecting information from primary and secondary sources and keeping data systems up to date
  • Spotting, examining, and deciphering trends or patterns in large, complicated data sets
  • Data cleansing and filtering
  • Prioritizing business and information needs in collaboration with management
  • Identifying and locating new opportunities for process improvement

Job Titles of a Data Analyst

  • Financial analysts advise organizations and enterprises on how to invest money and resources to make the most money. They also provide guidance to individual stakeholders.
  • Hospitality Analyst: Data that is specifically related to the hospitality sector is used by hospitality analysts. They assist hoteliers in developing a plan that may be utilized to control income, boost earnings, and lessen the frequency and severity of booking slumps.
  • Business Analyst: The primary objective of a business analyst is to assist their firm in increasing productivity and cutting expenditures. These recommendations frequently touch on the organizational structure, the effectiveness of the workforce, and the efficiency of the IT systems.
  • Research analysts: verifies the reliability and correctness of data to ensure that the knowledge it produces is useful. Research analysts use numerous models of analysis and the data they have gathered to find trends and potential business possibilities.
  • Marketing analysts: assist businesses in deciding which goods or services to market, how much to charge for them, and which consumer segment to focus on. Marketing analysts are crucial in assisting businesses in making more wise, lucrative decisions by assessing market conditions, customer purchasing trends, and rival tactics.     
  • Database developers: research database operations with the intention of modernizing them, enhancing their effectiveness, and eliminating inefficient coding. Database developers labour to create new databases and monitor how well-used databases are operating.     
  • Social media analysts: work with brand-related data. They assess the performance of content as well as the efficacy of social media marketing. They can use this data to make practical suggestions to important stakeholders.
  • Risk analysts: analyze the investment portfolios of firms to learn more about the amount of risk involved in different choices. They can estimate possible losses for a project using their data analytic skills, and they can also advise ways to reduce this risk through diversification, currency exchanges, or other investment strategies.          
  • Operations analysts: do research on business operations to give management the knowledge they need to make wise decisions, update and change policies, and enhance overall operations.  
  • Data Architects: Various data frameworks are created, designed, and implemented by data architects before being built by data engineers. They develop visualization models and technologies on a daily basis and suggest ways to enhance the data architecture. 

The career path of a Data Analyst

Path 1: You can complete 12-Science(Comp sci). Then complete in Computer science. You can then continue with a certificate in Bigdata/SAS/R/Tabaleu.

Path 2: You can complete your 12 from the science stream with maths. Then you can complete B.Sc -Statistics/Maths (Hons.). You can Proceed with M.Sc Statistics. Further, you can get a Certificate in SAS/R/Tableau.

Path 3: You can complete your 12th grade from any stream. Then complete Graduation in any stream. Further, you can Proceed with MBA. Further, you can Proceed with a Certificate in SAS/R/VB/Excel.

Read this blog to know in detail how to become a data analyst. 

Salary of Data Analyst at different stages of career

The average income for data scientists is Rs 6,98,413. A data scientist with less than one year of experience might expect to make approximately Rs 5,00,000 per year. Data scientists at the entry-level with 1 to 4 years of experience make about Rs 6,10,811 per year.

In India, a mid-level data scientist with 5 to 9 years of experience can expect to make Rs 10,04,082 annually. Your income as a senior-level data scientist in India increases rapidly as your expertise and talents increase, reaching over Rs 17,00,000 per year.

Skills required to become a Data Analyst

  1. Solid Domain Understanding
    Knowledge of data analytics is helpful in solving issues. They must be aware of the factors affecting a company’s operations and the levers they might be able to manipulate to effect a materially beneficial change. If you want to work as a data analyst, business knowledge is one of the most important talents to have. It also has a direct impact on data analyst salaries in India.
  1. Mathematics and Statistics
    Making decisions with objectivity is a crucial component of how you solve any given problem. You must rely on mathematics and statistics to be able to make decisions objectively. Finding patterns, segmenting data, and making forecasts based on the past are necessary. To find the optimal answer, you will need to apply algorithms for classification, clustering, and prediction, and mathematics and statistics will come in handy here.
  1. Technical Skills
    By combining your mathematical abilities with domain knowledge, you can locate and resolve an issue. But most companies are not as straightforward. It is essential that you learn how to use tools like R, Python, SQL, etc. since you will have to work with data sets that are well beyond your capacity for calculation. This will allow you to repeat your methods and business solutions on a large scale.
  1. Soft Skills
    Last but not least among data analytics abilities, you should be able to explain your solution to the stakeholders in the clearest possible terms. It becomes crucial to communicate effectively and to use excellent visualization tools like Tableau, QlikView, ggplot, etc.

Try Clever Harvey’s JuniorMBA Data Analytics program in Data Analytics and get a first-hand experience in its exciting world!

Is Data Analysis a good career option?

  • Data analysis has become one of the most in-demand professions globally. As a result, the income of a data analyst in India is much higher than that of other individuals working in the software industry.
  • By the financial year 2025, Statista predicts that the global big data analytics market would increase by 30% and generate revenues of over 68 billion USD.
  • To foster organizational growth, the big data analytics framework offers both technical and non-technical Business analyst profiles hence numerous job opportunities.

Types of Industries hiring Data Analysts

  • Insurance
  • Finance
  • Education
  • Healthcare
  • Manufacturing
  • Retail
  • Telecommunication
  • Automotive
  • Banking

Top recruiters of Data Analyst in India

  • Fractal Analytics
  • Amazon
  • Deloitte
  • Linkedin
  • MuSigma
  • IBM
  • Flipkart
  • Accenture
  • Citrix
  • Myntra

Courses to upskill as a Data Analyst

The certification courses listed below can help you become a data analyst.

  • CareerFoundry Data Analytics Program
  • Springboard Data Analytics Career Track
  • Wharton Business Analytics Online Certificate Program
  • Cloudera Data Analyst Training Course and Certification
  • BrainStation Data Analytics Certificate
  • Harvard University Business Analytics Course
  • Thinkful Data Analytics Immersion Course
  • General Assembly Data Analytics Course
  • MIT Sloan School of Management Applied Business Analytics Certificate

The following are the best data analytics boot camps that provide excellent data analytics courses:

  • DataCamp data analytics boot camp
  • Thinkful data analytics boot camp
  • CareerFoundry data analytics boot camp
  • Springboard data analytics program
  • General Assembly data analytics program
  • BrainStation data analytics boot camp

Qualifications to become a Data Analyst

Degrees in India

You may enrol in a bachelor’s degree program like B.E. or B.Tech after passing the entrance exam and the 12th-grade board exams. Additionally, candidates may pursue a BCA, a BSc in Computer Science, and a BSc in Mathematics. You can follow up with a master’s in the same.

Degrees you can pursue to become a Data Analyst

Bachelors’s in Computer Application (BCA)3 years
Bachelor of Engineering (BE)4 years
Bachelor of Technology (B Tech)3-4 years
Bachelor of Science in Computer Science (BCompSc or BCS or BSCS or B.Sc. CS)3 years
Bachelor of Science in Mathematics (B.Sc. Mathematics)3 years

Degrees Abroad

If you want to be admitted to a university abroad, prepare for IELTS and TOEFL, and need assistance with SAT preparation? We have some details for you- Check out our SAT Blog for more information.

Bachelor of computer science (BCS)4 years
Bachelor of Science in Mathematics (BS Mathematics)3-4 years
Bachelor of Science in Statistics (BS Statistics)3-4 years



  • Hello World: How to be human in the age of Algorithms
  • The Drunkard’s Walk: How Randomness Rules Our Lives
  • How Smart Machine Thinks
  • Knowledge is Beautiful: A Visual Miscellaneum of Compelling Information
  • The Art of Statistics

We sincerely hope you now have a thorough grasp of a profession as a data analyst and wish you luck in that endeavour.

That’s all we have for now; check back later for more details.

FAQs related to how to the career as a Data Analyst

What qualifications do I need to be a data analyst?

Although a bachelor’s degree is the most common entry-level qualification, some employers prefer candidates with a master’s degree in data analytics or a related field. According to a 2017 IBM study, only 6% of data analyst job descriptions required a master’s or doctoral degree.

Can I become a data analyst in 3 months?

Make the most of your three months and learn everything you can. Because time is limited, the emphasis should be on learning Excel, SQL, R/ Python, Tableau/ PowerBI, and ML if time allows. Investing your time in projects will also give you an advantage when applying for jobs.

Is it easy to become a data analyst?

Data analysis can be more difficult to learn than other fields in technology because the skills required to perform Data Analyst jobs can be highly technically demanding. But with the current global shortage of data professionals, the role of Data Analysts is in high demand, which means higher pay and better job security.

How many years does it take to become a data analyst?

An entry-level position (internship/junior) in data analytics can take anywhere from 6 months to 2 years. It can take four years or more to advance to the level of a senior data analyst. However, how long it takes to become a Data Analyst ultimately depends on you and how much time you are willing to devote to learning.

How do I become a data analyst with no experience?

Ans: A degree program or professional certification is not for everyone. If you lack the experience and skills required to become a data analyst but cannot afford the time or money required for schooling, here’s how to get started. Follow these steps to gain the knowledge required to become a data analyst.
– Start with Self-Study
– Try Out Data Analytics Projects
– Create a Portfolio
– Apply for Internships and Jobs

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Top 5 High Paying Tech Careers in India 10 Skills to become a Data Analyst Top 10 Colleges in India to become a Data Analyst Top 10 colleges to become a Data Analyst Abroad
Top 5 High Paying Tech Careers in India 10 Skills to become a Data Analyst Top 10 Colleges in India to become a Data Analyst Top 10 colleges to become a Data Analyst Abroad