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Who is a Data Analyst?
Without big data analytics companies are blind and deaf, wandering out onto the web like deer on a freeway ~ Geoffrey Moore
In a career as a data analyst, individuals translate the data that is collected by the company from numbers into English. A data analyst examines data to find significant insights about a company's customers and potential uses for the information in problem-solving. Data analytics is frequently referred to as a method of analyzing data sets to make any conclusions based on the information provided with the use of specialist software. People who pursue careers as data analysts acquire, examine, and perform statistical analysis on large amounts of data.
The data analyst job description includes figuring out how to provide data to respond to questions and resolve issues. Students can pursue B.Tech in Data Science and Engineering, B.Tech in Computer and Information Science to opt for a data analytics career path. Data processing has developed with the growth of computers and an increasing drive toward technical enhancement. Here, in this article, we will discuss the data analyst career path in India, how to become a data analyst, the data analyst course, what a data analyst does, data analyst skills, data analytic jobs, and data analyst career growth.
Data Analyst in a Nutshell
The invention of the database has given fresh breath to the people involved in the data analytics career path. Analysis refers to splitting up a whole into its individual components for individual analysis. Data analysis is a method through which raw data are processed and transformed into information that would be beneficial for user strategic thinking.
Data are collected and examined to respond to questions, evaluate hypotheses or contradict theories. It is a tool for analyzing, transforming, modeling, and arranging data with useful knowledge, to assist in decision-making and methods, encompassing various strategies, and is used in different fields of business, research, and social science.
Quick Facts for Data Analyst
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Industry
Technology, Finance
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Average Salary in India
₹42500
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Suitable for
Male, Female, Others
When it comes to a career as data analyst, it is a gender-independent career and is apt for any gender type. Gender bias is non-existent in terms of salary as gender type is deemed insignificant for the career path.
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Any special needs
Yes
A career as data analyst suits all, even individuals with special abilities. Sometimes they need to arrange client meetings. People with bodily deformities can opt to work from home, they should have the ambition to show the world that despite all the circumstances they can achieve their dreams.
Table of Contents for Data Analyst
What is the role of Data Analyst?
Data analysts' work includes collecting and cleaning data to reveal patterns and perspectives of the market. Individuals who opt for a career as a data analyst can use business intelligence software such as tableau, and programming to build dashboards, and design and manage relationship databases and systems for multiple departments throughout their organization. Data analytic jobs are to identify organizational targets, most data analysts work with IT managers, and executives, as well as with data scientists.
Individuals in the data analytics career path then analyze and interpret the outcomes using standard statistical methods and techniques and collect and clean data from primary and secondary resources. In certain cases, they identify trends, similarities, and patterns in complex data sets, and determine potential product development opportunities. The data analyst job description includes producing documents on their observations and communicating with various stakeholders.
Also check in details - Data Analyst Job Description & Roles and Responsibilities
Data collection
Data were gathered from a wide range of sources. The role of data analyst may convey the specifications to data custodians, such as in-house information management employees. The data can also be gathered from environmental devices, such as traffic cameras, satellites, monitoring equipment, and many more. This could also be accessed by presentations, online resources, or other documentation.
Data processing
The collected data initially need to be processed or arranged for review. It may include putting data in rows and columns and also in a tabular format and for further analysis, it is included in a table sheet or statistical applications.
Data cleaning
The data can be incomplete until analyzed and compiled, sometimes errors can occur. The need for data cleaning comes from problems in the way data is accessed and preserved. The system of preventing and correcting these errors is data cleaning. Popular tasks require comparing the information, recognizing data inaccuracy, actual existing data quality, and duplication. Those data issues are sometimes recognizable through a range of analytical methods. Textual spell checkers can be used to minimize the amount of mistyped phrases, but it is much more difficult to say if the sentences themselves are appropriate.
Data analysis
Analysts can use a variety of techniques known as observational data analysis to begin decoding the messages in the data. The exploration method may result in significant data cleaning. Descriptive statistics may be produced, such as the average, to help explain the results. Data modeling can also be used to analyze data in a graphical format in order to achieve more information in the data signals.
Communication:
After the data is analyzed, it may be documented to meet their requirements in several formats. The users can provide recommendations, which contributes to more research. As such, the theoretical process is essentially iterative.
Types of a Data Analyst
Market Research Analyst: A market research analyst tracks economic conditions to understand future product or service impacts. He or she allows companies to understand what individual goods need, who they'd be targeting, and at what cost. A career as market research analyst job is important for a company to understand as well as examine the potential sale of a product or service being provided by the company. He or she does this by collecting data on consumer behavior as well as by closely monitoring the steps taken by their competitors.
Data Scientist: The role of data scientist generally involves various machine learning-based tools within the institution, such as recommendation machines or computerized lead-scoring structures. He or she has the capability to perform statistical assessments. The job of a data scientist involves working closely with the stakeholders of the company he or she works with, in order to understand their aim. He or she in turn uses expertise by analyzing the big data so that it can be used in order to fulfill the company’s aims and objectives.
Statistician: A statistician collects numerical information and allows the company to understand quantitative information and identify patterns and make assumptions with these statistics. A statistician uses statistical as well as mathematical methods and tools in order to solve real-world issues in several fields like engineering, health science, or in businesses. He or she summarises large numerical data to provide the client with useful information.
Business data analyst: The business data analyst job description is to develop technological solutions regarding business issues, or improve the business transactions of a company. He or she describes market conditions, analyze them, and registers them by performing routine business analyses. A business data analyst analyzes data using statistical methods, data mining processes as well as several models.
Data Architect: A data architect's role is to build and maintain the blueprints of data management systems. Data architect practices data architecture. They aim at securing easy access to the company or the organization’s data. In order to do so, a data architect creates database solutions along with preparing design reports.
Data Engineer: A data engineer is in charge of assembling data for computational or administrative use. The big data on which the data scientists work is assembled by the data engineers. The job of a data engineer is to design, build as well as integrate data from several resources in order to manage the big data.
Data Administrator: A data administrator is a professional responsible for monitoring, maintaining, and managing data for an organization. He or she controls data assets, processes, and interactions with various applications and business processes.
What is the workplace/work environment of Data Analyst like?
When it comes to a data analytics career path, one mainly works in the office. Big data analysts work on computer systems and software for the measurement of their numbers. The main work in a career as a data analyst is to gather, analyze and carry out statistical data analysis. To help companies and corporations understand how to make better business decisions, they can translate statistics and data into plain English.
Each company gathers data whether it be market analysis, revenue statistics, logistics, or transport costs. Individuals in the data analytics career path can take the data and find out a number of items, such as pricing new goods, reducing shipping costs, and dealing with problems that cost the company money.
Does Data Analyst require travelling?
Likely
Individuals who opt for a career as data analyst have to fly regularly both domestically and internationally to provide sister companies and or subsidiaries with data control, guidance, and oversight.
Employment Shifts
Full Time
Individuals in the data analytics career path work full-time, although schedules can vary according to workload and deadlines.
Employment Nature
Permanent
Many companies that rely on their online presence for a lot of their business will have in-house data analysts and this work environment is likely to be much more traditional. The employment shift of a data analyst is both full times as well as part-time. According to a survey, there are more full-time job employees than part-time job employees.
Work Place
Office
Individuals who opt for a career as data analyst work independently, some work for professional agencies and some as part of a team. Big data analyst collaborates with coworkers on assignments or consults with customers around the world. He or she can set up his or her office completely as they like but he or she will need to be prepared to travel to meet clients and working conditions can differ depending on the type of client or business he or she deals with.
Presence in Geographical Area
Urban
There are less or nil opportunities in rural areas for a career as data analyst. Many data analyst employees stay in urban areas because of the IT companies in urban areas. Cities such as Gurgaon (Haryana), Delhi (New Delhi), and Bangaluru (Karnataka) are places where a data analyst can find a job as these cities are India's IT hubs. For rural areas there are limited prospects, millions of businesses have moved online to utilize the power of the internet to reach a wider audience. Though in rural areas it is less but still growing.
Time Pressure
Likely
In a career as data analyst, one is prone to face time pressure. His or her work is quite uncertain in nature and might require them to work under unusual circumstances and odd working hours. Individuals in the data analytics career path usually work under a lot of time pressure.
Overtime Details
Individuals who opt for a career as data analyst are required to work for nine hours per day. But these working hours are generally expanded because of unattainable results and work pressure. Big data analysts are required to work long hours facing stressful situations.
Weekly Hours of Work
Min 45 Hours
Individuals in the data analytics career path work for around nine hours a day and 45 hours a week. Big data analysts are prone to work extra time a few days a month.
How to become a Data Analyst?
Steps to become a Data Analyst
In this section, we will explore the step-by-step journey of how to become a data analyst in India. Whether you are a recent graduate or looking to make a career switch, we will guide you through the essential skills, education, and opportunities needed to embark on a rewarding path in the field of data analysis within the Indian job market.
What are the skills and qualities required to become a/an Data Analyst?
You must be wondering how to become a data analyst. In this section, we will be answering the most commonly asked question that how to become a data analyst with no experience. In order to make a data analytics career path, one must possess some skills. Some skills required by a data analyst are mentioned below:
Programming skills: Most of the data science job responsibilities would involve domain-related programming skills. All technical work performed right from data cleaning, and data analysis to implementation of suitable machine learning techniques is performed using a computer programming language. Big data analysts should be qualified in one language and possess a few additional working skills. Individuals who opt for a career as data analyst use programming languages such as R and SAS to collect data, clean data, evaluate statistics, and display data.
Analytical skills: Analytical skills demonstrate the ability of a candidate to study information and apply logic to find patterns or to make conclusions in their career as a data analyst. In the workplace, people use analysis to thoroughly investigate speech, files, illustrations, charts, and graphs, and retrieve the most necessary information. Curiosity and innovation are the key elements of a successful data analyst. A clear foundation in statistical methodology is important, but it is far more crucial to think about challenges through some kind of innovative and analytical lens. It will help the analyst to generate interesting research questions that will help the clients in understanding the topic.
Communication skills: Communication is basically the transferring of knowledge from one location, person, or community to another. Communication requires one transmitter, one message, and one receiver. That may sound easy, but communication is in actuality a very complicated issue. Big data analysts need to communicate their observations clearly either to a consumer or a small team of business executives. Effective interaction is the key to success.
Visualization: Data Visualization can offer valuable information to stakeholders, investors, and other members of the team by turning large quantities of abstract data into images and diagrams which are simple and easy to understand in the career of a data analyst. The efficient visualization of the data involves different techniques. Big data analysts recognize what types of diagrams to use, how visualizations can be scaled-up, and what graphs to use depending on their audience.
Machine learning: Machine learning is a data analytics method that simplifies the building of analytical models. It is a technique that is based on the idea that systems with minimal human intervention can learn from data, identify patterns, and make judgements. Individuals in data analytics career paths with machine learning abilities are extremely important, but the skill of traditional data analysts' jobs in machine learning is not expected.
Database knowledge: Database querying languages are used to develop, read, update, and delete tables in a database. Database querying languages is a descriptive and domain-specific language mostly used by data scientists, software developers, data analysts, and many other data-using careers. The most common compiling language that most data analysts use is SQL and there are many variants of this language, including PostgreSQL, T-SQL, and SQL.
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Which certifications and internships can be helpful in becoming Data Analyst?
We have mentioned below various certifications that you may opt to upgrade your skills for a career as a Data Analyst.
Internship Availability
In a career as data analyst, one is provided with a plethora of internships. Multiple companies and institutions, with different expertise and preferences, recruit interns. One might reveal numerous internship opportunities through the online recruitment portals. Big data analysts receive hands-on experience through internships. Higher education institutes and private companies have the bulk of internship options.
Career Path Progression for Data Analyst
A Data Analyst Consultant specializes in providing data-driven insights, strategies, and solutions to organizations, often on a project basis. They work collaboratively with clients to address specific data-related challenges.
A Data Analyst, on the other hand, primarily focuses on collecting, cleaning, and analyzing data within an organization to extract actionable insights and support data-driven decision-making. They are typically part of a company's internal data team.
Data Analyst Jobs and Salaries
Data analyst consultant
Permanent
- Average Salary 35000
Job Description
A data analytics consultant's key responsibility is to offer information to a business to support its growth. Although a data analytics consultant may excel in some specific sector or associated disciplines, the gap between a consultant and an in-house data scientist is that in a brief span of time, a consultant could be consulting multiple companies, while a data scientist can not.
Salary Description
The salary of data analytics consultants is centered on career development or is highly reliant on particular industry experience and knowledge. The entry-level salary may be more than five lakhs per year and could eventually be more than twenty lakhs per year depending on the organization and the employee's skills.
Junior Data Scientist
- Average Salary 50000
Job Description
Roles in data analytics include data collection and clean-up to disclose business trends and insights. Data analyst's day-to-day role varies depending on the industry or the type of expertise in data analytics they want. Data analysts may use business intelligence tools, Tableau, and programming to create dashboards, plan, and maintain inter-department relationship databases and frameworks throughout their organisation.
Salary Description
In data science, salaries are centred on the various departments and the place that one holds. The salary increases steadily for experienced workers. The average income for a junior data analyst is up to 6.7 lakhs per year.
What is the job outlook for Data Analyst?
When it comes to career as data analyst, he or she is in demand for almost every business sector. The position is fundamental to business growth, the majority of businesses need to have a data analyst, and employment opportunities are very bright. If students want to make a big change in their careers and get an immense salary rise, then the best choice for them is an executive program or certification from any of India's top B-schools.
A big data analyst can also explore different job opportunities with a keen knowledge of the industry. Data Analytics lies in business intelligence, statistics, sociology, communication, and computer science. The practitioners need to be experts in numbers, and also good communicators who can think abstractly. The analyst should work closely with the project manager to assist with the preparation of projects. A business analyst is promoted to managerial positions like senior business analyst after receiving certain qualifications.
Frequently Asked Questions for Data Analyst
Que. Is a data analyst a good job?
Ans.Skilled data analysts are among the world's most searched for specialists. Since the demand is so high and the availability of people who can do this job well is so small, data analysts have big pay and excellent benefits, including at the entry-level. Therefore, a career as data analyst is a good job.
Que. Does data analytics require coding?
Ans.Analysts and researchers have been around before big data, which is why the position of data analysts is well established. Software analysts do not require specialised coding skills, but have experience with software for analytics, software for data analysis, and data management programmes.
Que. Is a data analyst an IT job?
Ans.Yes, Data analyst can be termed as an IT job similar to Software engineer, or Data scientist. data analyst works as a gatekeeper for data from an entity so that stakeholders can understand data and make informed business decisions using it. This is a professional job requiring an undergraduate or master's degree in analytics, computer engineering, science or mathematics.
Que. What is the difference between a data analyst and a data scientist?
Ans.Both work with data, but the key difference is what they do with this data. Data scientists are good at interpreting data, but also tend to have coding and mathematical modelling expertise. Most data scientists hold an advanced degree, and many actually went from data analysts to data scientists.
Que. What are the entrance exams one can take in order to become a data analyst?
Ans.The entrance exams listed, such as JEE Mains, JEE Advanced, BITSAT, and SRMJEEE, are typically associated with admissions into engineering or technology programs in India. Entrance exams for data analytics programs or postgraduate courses in data science can vary, and it's advisable to check specific universities or institutions for their admission requirements.
Que. What are the top institutes to pursue Bachelor and Master degree in order to become a data analyst?
Ans.Some top institutions in India offering such programs include Watumull Institute of Electronics Engineering and Computer Technology, Mumbai, Sushila Devi Bansal College of Engineering, Indore, Sardar Patel College Of Engineering, Bakrol and JLU School of Engineering and Technology, Bhopal, among others. These institutions offer comprehensive courses in data analytics and related fields, providing a strong foundation for a career as a data analyst.
Que. What does data analyst do?
Ans.Data analysts analyze and interpret data to provide valuable insights for decision-making, helping organizations make data-driven choices.
Que. Is data analyst an it job?
Ans.While data analysts often work closely with IT teams, the role itself is not solely classified as an IT job; it falls within the domain of data science and analytics.
Que. Is data analyst a good career in India?
Ans.Data analyst is a promising career in India, given the growing demand for data-driven decision-making across various industries, offering good prospects for those with analytical skills and a penchant for data interpretation.
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Questions related to Data Analyst
I am doing BBA ,will a certificate course of data analytics be helpful in finding better job? I am planning to do MBA in international business after a year of job . so should I go for data analytics certificate course will it be beneficial for future ?
Yes. No doubt it will be beneficial. It is only going to open doors for you when you move towards getting a job. The certificate of data analytics will make your resume more complete.
Combination of BBA and data analytics is always good and does help in the future. With the help of certificate in data analytics, you can get into business analytics if you have great analytical skills.
Answer laterWhich is best between Data Analytics and Ethical Hacking. And where can I get best job opportunity ?
Hello aspirant,
Hope you are doing well
Both the courses you mentioned are equally good .
The job roles offered for both the courses are pretty good.
Firstly it is important to know the course in which you are interested and then take up that .
Hope this helps you
All the best!
what is Bsc in IT (data science)? How its different from Bsc data science? BSc in IT (data science) vs BSc data science?
BSc Data Science is a 3 year full-time course that comes under the domains of Computer Science, Business Analytics and Artificial Intelligence.
Data Science is an interdisciplinary subject that includes the use of Statistics , Big Data Analytics , Machine Learning and related aspects in order to understand the problem or phenomena with respect to a set of real-world data.
This course is highly popular among students in India and Abroad because of its increasingly high demand and diverse future scope in tech companies, consultancies, market research companies and energy sector.
Admission to this course usually takes place on the basis of merit and performance in the university level Common Entrance Tests. The minimum eligibility required is the completion of Class 12 with Science stream (Physics, Chemistry, Mathematics).
IT is a particular subject with data science.
Thanks!
What is the difference between Bsc data science and BSc IT (data science) in terms of curriculum? Which is more useful?
So you can have a rough idea about the two courses but which one is better is something only you can decide as you will know better which subject interests you more.
which is better to choose between BSc in IT (data science) from MAKAUT and BSc in Data science from TIU? Which is more useful curriculum for future industry?
Hello Apu sarkar, Both the Universities are best for bsc and infastructure is also good but facilities are more in TIU like sports campus, wifi campus, and many more and they all are not in MAKAUT and placement is also good at TIU. So I personally preferred you to go for TIU.
Hope it will be helpful for you :)
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Did you know?
Fact 1
Less than 0.5% of all data we create is ever analysed and used.
Fact 2
Google uses about 1,000 computers to answer every single search query.
Fact 3
Every second 60,000 search queries are performed on Google and 1.2 trillion searches per year.
Fact 4
70% of data is created by individuals, but enterprises are responsible for storing and managing 80% of that.
