How To Become Data Analyst In India

DataMites
5 min readJun 2, 2023

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Businesses need data analysts to transform the data and information they collect and assess into useful insights because they retain and evaluate too much data and information. Making data-driven judgments regarding their projects is something that a data analyst can assist organizations and executives with. It can be a worthwhile career choice for you to pursue if you have an interest in researching, analyzing, and drawing important conclusions from data.

In this article we will explore the job duties and compensation of a data analyst, as well as the abilities needed to succeed in the field in India.

How To Become Data Analyst In India

Who Is a Data Analyst?

Data analysts gather, purge, transform, and model data to discover pertinent information that will help decision-making processes. Every data-driven organization needs analysts to make the most of their available data, make the best investments, understand customer behavior, identify risks, or decide on capital allocations.

What Does A Data Analyst Do?

A data analyst’s main duties include gathering, organizing, and analyzing data to assist businesses in increasing productivity, efficiency, and making important business choices. These experts can work in a variety of industries, including retail and education. Data analysis for marketing, finances, operations, or other data kinds may be a specialty of some analysts. Their regular work duties consist of:

  • Providing management with a report
  • Employing statistical techniques to complete analysis
  • Transforming data into knowledge that is clear and understandable
  • Analyzing important commercial trends with data
  • Regular data monitoring for changes in the industry
  • Recommending to management how to prioritize business information
  • The creation of graphs and diagrams and presentation of them to the business stakeholders
  • Helping the management of the organization to comprehend the content of analysis both locally and internationally

How To Become Data Analyst In India

  • Knowledge of programming language: You should have practical knowledge of programming languages like Python, R, and JavaScript. It’s essential for data analysts to be well-versed in at least one programming language. For several data analysis tasks, including data collection, data cleaning, statistical analysis, and data visualization, data analysts use a variety of computer languages.
  • Knowledge of data analysis tools: You should be familiar with databases and data analysis software. In order to execute trend research and planning to gain exact insights, you should be skilled at constructing SQL queries and procedures and informed with Microsoft Excel, Matlab, and IBM SPSS.
  • Knowledge of Statistics and Machine Learning Methods: You must be familiar with ideas like probability distributions, hypothesis testing, regression analysis, and different grouping and classification methods.
  • Familiarity with data visualization tools: Using a variety of data visualization technologies, a data analyst must be able to produce various business reports. Tools like Tableau, QlikView, and Power BI should be familiar to you. Additionally, you need to be proficient in both communication and presentation.

Skills Required To Become A Data Analyst In India

  1. Domain understanding: Knowledge of data analytics is helpful in resolving problems. They must comprehend the variables in a business, the levers they might be able to pull to cause a substantial improvement, and the external and internal forces influencing its expansion in order to model all essential decisions. One of the most vital skills to possess if you want to work as a data analyst is business expertise. Additionally, it directly affects the pay for data analysts in India.
  2. Statistics and Mathematics: Making decisions with objectivity is a crucial component of how you solve any given problem.To be able to make decisions objectively, you must rely on mathematics and statistics. It’s important to look for patterns, categorize data, and make predictions based on historical data. Applying algorithms for classification, grouping, and prediction will be necessary in order to arrive at the best solution; statistics and arithmetic will be helpful in this regard.
  3. Technical skills: Using domain knowledge and mathematical abilities, you can identify and resolve a problem. But most enterprises are not that straightforward. In order to be able to replicate your algorithms and business solutions at scale, it is imperative that you learn how to use tools like R, Python, SQL, etc. You will need to work with data sets that are well beyond your capacity for calculation.
  4. 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. Although they might not be familiar with KS Statistics, root mean square error, or your clustering approach, your soft skills will still be useful. Effective communication and the usage of top-notch visualization tools like Tableau, QlikView, ggplot, etc. become essential.

Job Outlook For A Data Analyst

A data analyst is in demand for practically every industry when it comes to a job. The profession is essential to corporate success, most companies require a data analyst, and job chances are excellent. The greatest option for students who wish to significantly change their jobs and significantly increase their salaries is either complete an executive program or get the certification done. A big data analyst with thorough industry knowledge can also look into various employment options. Business intelligence, statistics, sociology, communication, and computer science all relate to data analytics. The practitioners must be skilled with numbers, excellent communicators, and capable of abstract thought. To aid in project preparation, the analyst should collaborate closely with the project manager. After earning certain credentials, a business analyst is promoted to managerial positions like senior business analyst.

Conclusion

Data analysts earn a lot of money and have high-paying jobs. You should first brush up on the fundamentals of data analysis, take on some projects, and develop your profile if you want to become a data analyst without any prior experience. Your data analyst CV can stand out and help you land your ideal job if you have some project work experience and some other talents.

The Advanced Analytics and Business Insights course bundle for the DataMites® Certified Data Analyst (CDA) certification. Complex analytics may be mastered by managers and data analysts with no programming knowledge thanks to the NO-CODE software. In order to establish an organized learning environment that encourages lean learning, the course is meticulously updated in compliance with industry requirements.

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