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Ever wondered how much data is generated every day in the world?
A whopping 2.5 quintillion bytes every single day!
And this amount is rapidly increasing with each passing day. There is no doubt about the fact that Data is here to stay and still has a long long way to go. Now let us elaborate on why data analytics is one of the best career moves and how it affects Data Science. Eligibility for Data Science Course In India!
Data Science Jobs (Fresher & Experienced) Career Guide
Big Data is getting even bigger and more complex every day. This means it needs more manpower to be managed. This need has created lots of job opportunities for data science professionals across the world.
Analytics India Magazine (AIM) along with Great Learning (an ed-tech company) conducted a study on Analytics and Data Science Jobs in India. According to this study, there were over 93,500 vacancies for analytics and data science jobs by August 2020. However, not so many applicants to fill in these jobs. Recruiters have hence seen a wide gap between the demand and supply of data science professionals in India.
The importance of data science talents in India has thus increased thereby making them one of the highest-paid professionals in the country. According to the study, professionals in the data science domain enjoyed a median salary of ₹9.5 LPA. Also Read | Data Scientist Salary in India – For Freshers & Experienced!
Some of the Most In-Demand Jobs In the Data Science Field Are:
| Data Science Job Title | Data Science Avg. Base Salary in India | Avg. Base Salary in US |
| Data Scientist | ₹8,64,729/- | $97294 |
| Data Architect | ₹20,40,312/- | $1,23347 |
| Data Analyst | ₹4,63,202/- | $62838 |
| Data Engineer | ₹8,65,518/- | $93272 |
| Machine Learning Engineer | ₹7,23,386/- | $112513 |
| Business Intelligence (BI) Developer | ₹5,98,580/- | $82448 |
Why Data Science? Career Guide 2024 (In-Demand Jobs)
Automation is predicted to generate 133 million new jobs, but it might also displace over 75 million jobs. However, one thing is for sure Automation will generate more jobs than it will replace.
A maximum of these new jobs will be generated in Analytics, Data Science, AI, Machine Learning, jobs in Cyber Security and related domains. These numbers pretty much sum up the job situation in the future to come.
There is no digital business today that does not use data science modules to enhance its business models. You must be wondering how data science is involved and helpful in bringing profits. Let us understand with this example.
Businesses that are customer-driven need to know about their customer behaviour to be able to retain them. Data Science does this work for them. Data Science along with AI and ML can analyse the browsing behaviour of all their customers including their purchase history, their time online, age, and their likely expenditure. With this data, the company can now recommend only those products that the customer is likely to buy.
For instance, when you buy clothes online, the website suggests accessories and footwear that are likely to pair up with those clothes. Such recommendations are personalised for each and every customer, which is possible only with the help of Data Science. Read: Best Data Science colleges in India!
This helps not just businesses but makes the shopping experience for the customer’s satisfaction as well. Data Science also helps to send personalised emails about various discounts and new products to the customers at different times according to when each customer is most likely to go online. It seems like a small thing but it has helped small businesses grow magnificently.
This is an example of just one sector where data science makes such a great difference. There are numerous other sectors where data science has proved magnificent.
Data science is used in the medical sector, banks, logistics companies, forecasting, security purposes, pattern detection and so much more. So, there is no doubt that the scope of Data Science jobs is unprecedented. Read: What Is Data Science with Example?
We have further discussed all the popular data science jobs in detail for your reference.
Job Trends In Data Science & Analytics
As already stated above, there were approximately 93,500 open jobs in the Analytics and Data Science field at the end of August 2020, according to the report by AIM and Great Learning. What open jobs mean is the jobs that are available to be filled in. In short, open jobs are the vacant job positions at a given time.
These open jobs vary across cities, sectors, etc. There are various factors that affect the jobs in a particular field. Given below are these factors and how they have affected the Data Science & Analytics job trends in India over the years.
Cities by Job Trends In Data Science
A city plays an important role in defining job trends in a particular field. For example, a city like Bangalore- the silicon valley of India, there are numerous jobs in the IT sector, however not many in the area of agriculture. On the other hand, Punjab and Uttar Pradesh flourish in the field of agriculture but not so much in the field of IT and Computer Science.
In the area of Data Science and Analytics, Bengaluru tops the list of cities with the maximum open jobs offering 23% of analytics jobs in India as on August 2020. Next in the list is Delhi NCR offering 20% of analytics jobs in India followed by Mumbai with 15%.
The following graph shows the increase or decrease in the percentage of open jobs in various cities through recent years.
Sector/Industry by Job Trends In Data Science
It is very very obvious that it is the Information Technology (IT) sector that dominates the open jobs in the Data Science and Analytics sector. However, there are many other sectors that offer jobs to professionals of the Analytics domain. The Banking & Financial Sector was one of the first to adopt analytics across its operations. It contributes 35% of all analytics jobs in India (apart from the IT sector). Next is the Pharma & Healthcare Industry with 16.3%, followed by E-commerce with 14.6% by the end of August 2020.
The following graph shows the increase or decrease in the percentage of open jobs in various sectors (except IT Sector) through recent years.
Experience by Job Trends In Data Science
This goes without saying that work experience plays the most important role for a job in any field. Experience sometimes surpasses academic qualifications. This means that a person with practical work experience is always preferred over a fresher even though they have better academic qualifications.
The following graph shows the increase or decrease in the percentage of open jobs based on the experience of a professional.
Data Science Tool and Technologies
Data Science and Analytics is a highly advanced and broad field. Hence, there are many tools and technologies required for each job role. There are various categories of these tools, technologies, and programming languages. Based on which tool or technology or how many of them you know, your value as a Data Science professional increases.
In Data Science & Analytics sector, the job trends are affected by the following:
- Programming Language
- Dashboarding / BI Tools
- Cloud Platforms
- Big Data Tools
- Modelling Techniques
- Database Tools
Have a look at the following graphs to know the percentage of open jobs trends based on these tools.
Data Science Job Trends In Programming Language – The demand for Data Science professionals varies based on the programming language they are proficient in. For instance, Python professionals are the most in demand followed by Java/Javascript professionals, followed by R professionals and so on.
Data Science Job Trends In Dashboarding / BI Tools – The demand for Data Science professionals varies based on Dashboarding/BI Tools they know. For instance, professionals with Tableau skills are currently most in demand. Next in line is Microsoft Power BI, and more.
Data Science Job Trends In Cloud Platforms – Since the increased adoption of Cloud Platforms recently across various enterprises, employers now demand professionals with the knowledge of cloud platforms. The most in-demand is AWS followed by Azure and Google Cloud.
Data Science Job Trends In Big Data Tools – Big Data Tools are something that every data science professional must know as it is Big Data that the data scientists have to deal with. The most popular one is Hadoop, followed by Hive, MapReduce, and more.
Data Science Job Trends In Modelling Techniques – Statistical modelling techniques are also quite important for data science professionals from a recruiter point of view. Segmentation is the most in demand one and then is Clustering, Classification, Neural Networks, and more.
Data Science Job Trends In Database Tools – Knowledge of Database Tools is very crucial for data science professionals. Among these tools, SQL is the most popular and then are Amazon Redshift, Teredata, NoSQL, and more.
Further, we have discussed all the popular data science jobs in detail for your reference.
Data Scientist Jobs & Salary for Fresher and Experience
Data Scientist got the coolest job title of the 21st century. Data Scientists are those professionals who gather, organise, and analyse data to build business solutions for their organisation. It is a high-level position, hence, Data Scientists have to see a lead in the entire procedure of data modelling. They are also expected to employ the best solutions to ensure maximum profit keeping in mind the business needs of the stakeholders as well.
Average Base Salary- ₹8,64,729/-
Data Scientist Total Salary based on Freshers & Experience-
| Data Scientist (Years of Experience) | Total Average Salary Per Annum |
| Freshers & Less than 1 year | ₹ 5,76,492 |
| 1-4 years | ₹8,02,121 |
| 5-9 years | ₹14,37,600 |
| 10-19 years | ₹19,17,531 |
| More than 20 years | ₹13,62,500 |
Data Scientist Job Description- The day to the day job description of a data scientist is as follows:
- Understand the business problem to produce solutions accordingly.
- Work with data analysts to gather data according to the business needs.
- Work on the collected data which involves data cleaning, transformation, processing, staging, and architecture.
- Define, refine, and classify the data to summarise for data modeling.
- Communicate with the client regularly about the progress of the project.
- Test the project in a pre-production stage before actually deploying it for public use.
- Perform the Exploratory Data Analysis (EDA) once the project is live to find any discrepancies in real time exploratory, confirmatory, or predictive analysis.
- Oversee the entire progress of the project by communicating and working with each team involved.
Data Scientist Key Skills- Following are some of the important skills, programming languages, and tools that a data scientist must know to get the desired job.
| Python | Software Development |
| R | SPSS |
| Tableau | Artificial Intelligence |
| Apache Spark | Business Analysis |
| Machine Learning | Data Analysis |
| Deep Learning | Statistical Analysis |
Data Scientist Eligibility- You must have a bachelor’s degree or a master’s degree in Computer Science or Information Technology. Candidates with discipline(Data Science) specific certifications, diplomas or other degrees are also eligible.
Whatever degree you possess, at the end your skills matter the most. So, if you’re good at the practical application of theoretical concepts, then you can be confident of finding a decent job as a Data Scientist.
Data Analyst Jobs & Salary for Freshers and Experience
A Data Analyst is a very important designation in the Data Science department of any organisation. They have the most important job which is to analyse data that has been collected and then derive meaningful and useful insights from it. Data Analysts might have to conduct surveys to collect this data. The job requires great research and analytical skills. The job is a highly reputed one as well as highly paid.
Average Base Salary- ₹4,63,202/-
Data Analyst Total Salary based on Freshers & Experience-
| Data Analyst (Years of Experience) | Total Average Salary Per Annum |
| Freshers & Less than 1 year | ₹ 3,65,777 |
| 1-4 years | ₹4,51,093 |
| 5-9 years | ₹7,08,944 |
| 10-19 years | ₹9,93,673 |
| More than 20 years | ₹15,00,000 |
Data Analyst Job Description- The day to day job description of a data analyst is as follows:
- Performing surveys to gather raw data.
- Interpret the data and present it in the form of charts or reports.
- Working with online databases.
- Work closely with clients and stakeholders to understand and then meet business goals.
- Work with the data using computer programs like Microsoft Excel, SharePoint, SQL databases, and Microsoft Access.
Data Analyst Key Skills- Following are some of the important skills, programming languages, and tools that a data analyst must know to get the desired job.
| Python | Teradata |
| SQL | SQL Server Integration Services (SSIS) |
| Microsoft Excel | Web Analysis |
| Apache Hadoop | JavaScript |
| Data Analysis | Regulatory Compliance |
| Database Management & Reporting | TIBCO Spotfire |
| Data Quality | Big Data Analytics |
Data Analyst Eligibility- You must have a bachelor’s degree or a master’s degree in Computer Science or Information Technology. Candidates with discipline(Data Analytics) specific certifications, diploma or other degrees are also eligible.
Data Architect Jobs & Salary for Freshers and Experience
A Data Architect works on the maintenance, structure, and design of data within a relational database. It is the job of a data architect to make sure that the data used in data modeling during a project is accurate and accessible. The data architects work on management of digital data as it is a highly technical job and needs advanced skills as well as proficiency with computer languages like XML and SQL.
Average Base Salary- ₹20,36,905/-
Data Architect Total Salary based on Freshers and Experience-
| Data Architect (Years of Experience) | Total Average Salary Per Annum |
| 0-4 years | ₹9,50,000 |
| 5-9 years | ₹16,26,904 |
| 10-19 years | ₹21,90,392 |
| More than 20 years | ₹25,98,272 |
Data Architect Job Description- The day to day job description of a data architect is as follows:
- Organise and maintain data in a relational database.
- Structuring and designing of the data.
- Ensuring the accessibility as well as accuracy of the data collected by the data analysts and data scientists.
- Explain the complex technical aspects to the non-technical staff of the department.
- Develop data models as well as day to day logical workflows.
Data Architect Key Skills- Following are some of the important skills, programming languages, and tools that a data architect must know to get the desired job.
| Data warehouse | Amazon Web Services (AWS) |
| Database architecture | Apache hadoop |
| Data modeling | Microsoft Azure |
| Big Data analytics | Data Management |
| Business intelligence | Cloud Computing |
| Software architecture | ETL (Extract, Transform, Load) |
Data Architect Eligibility- You must have a bachelor’s degree or a master’s degree in Computer Science or related field. Candidates with discipline(Data Science) specific certifications, diploma or other degrees are also eligible. Candidates with advanced degrees are usually preferred for the role.
Data Engineer Jobs & Salary for Freshers & Experience
Data engineers are expected to develop and translate computer algorithms into prototype codes. They also have to work together with data architects for maintaining and organising large data sets. A data engineer also has to keep up with the new technology by identifying new trends within the industry. Data engineers must have excellent coding skills as they have to work on real-time business metric aggregation, querying, data warehousing, schema, and related duties.
Average Base Salary- 8,64,493/-
Data Engineer Total Salary based on Freshers & Experience-
| Data Engineer (Years of Experience) | Total Average Salary Per Annum |
| Freshers & Less than 1 year | ₹4,67,737 |
| 1-4 years | ₹7,23,627 |
| 5-9 years | ₹13,63,494 |
| 10-19 years | ₹19,00,064 |
Data Engineer Job Description- The day to day job description of a data engineer is as follows:
- Gather and analyse data sets to provide useful and meaningful insights.
- Develop dashboards and tools based on analysis by data analysts and data scientists for the business users.
- Work with data architects to improve accessibility of data as well as data usage by developing technical solutions.
- Understand business needs and build solutions accordingly.
- Advise stakeholders and other non-technical staff on technological resources.
Data Engineer Key Skills- Following are some of the important skills, programming languages, and tools that a data engineer must know to get the desired job.
| Snowflake Cloud Data Platform | Apache Spark |
| Business Intelligence | Java |
| Apache Kafka | Teradata |
| Cloud computing | SQL |
| Data warehousing | Python |
| Kubernetes | ETL (Extract, Transform, Load) |
| Amazon Web Services (AWS) | Big Data Analytics |
Data Engineer Eligibility- The minimum eligibility criteria for a data engineer job role is a bachelor’s degree in computer science engineering or related field. Proficiency in Linux systems and other computer skills is also a must. Candidates with prior experience in processing and interpretation of data sets, knowledge of data structures, algorithms, and performance optimism are usually preferred.
Machine Learning Engineer Jobs & Salary for Freshers and Experience
A Machine Learning Engineer is a highly skilled programmer who works on developing AI systems to use the large data sets collected by data analysts and data scientists to perform research and build algorithms for predictive analysis. They are needed to build highly efficient machine learning models that can help data scientists to assess and organise data and even execute tests.
Average Base Salary- ₹7,24,373/-
Machine Learning (ML) Engineer Total Salary based on Fresher & Experience-
| ML Engineers (Years of Experience) | Total Average Salary Per Annum |
| Freshers & Less than 1 year | ₹5,14,391 |
| 1-4 years | ₹7,03,519 |
| 5-9 years | ₹14,74,332 |
| 10-19 years | ₹20,15,877 |
ML Engineers Job Description- The day to the day job description of a machine learning engineer is as follows:
- Work with data engineers and data architects to build softwares, dashboards, and other solutions to solve business problems.
- Studying and transforming data science prototypes.
- Identify loopholes in data distribution which might affect the performance of the business model.
- Enhancing the existing ML frameworks and prototypes.
- Perform statistical analysis.
ML Engineer’s Key Skills- Following are some of the important skills, programming languages, and tools that a machine learning engineer must know to get the desired job.
| Machine learning | Deep learning |
| Apache Spark | Natural Language Processing (NLP) |
| Big Data analytics | Computer Vision |
| Software development | Python |
ML Engineers Eligibility- To be a Machine Learning Engineer, you must have a degree in computer science engineering or related field. You must be highly skilled in programming languages like Java, R, or Python. Candidates with a background in ML frameworks are usually preferred.
Business Intelligence (BI) Developer Jobs & Salary for Fresher and Experience
A Business Intelligence (BI) Developer is required to solve problems and produce business solutions through data mining. It is their job to present the highly technical language in a simplified and understandable manner to others in the department. BI Developers must be excellent data experts as they have to primarily work with databases.
Average Base Salary- ₹5,98,919/-
BI Developer Total Salary based on Fresher & Experience-
| BI Developer (Years of Experience) | Total Average Salary Per Annum |
| Freshers & Less than 1 year | ₹3,23,052 |
| 1-4 years | ₹4,99,911 |
| 5-9 years | ₹9,83,946 |
| 10-19 years | ₹13,40,801 |
BI Developer Job Description- The day to day job description of a BI Developer is as follows:
- Develop and fine tune IT solutions.
- Implement newly developed tools. This might include the BI Developer to code, test, debug, and design as well.
- Research and find solutions for the existing problems.
- Build Online Analytical Processing (OLAP).
- Work with both relational and multidimensional databases.
- Perform data mining and then present the complex concepts in an understandable way.
- Simplify the technical data terms for others by regularly creating tables and reports.
BI Developer Key Skills- Following are some of the important skills, programming languages, and tools that a BI Developer must know to get the desired job.
| Amazon Web Services (AWS) | Cognos |
| Business Intelligence | Transact- SQL |
| SQL | BusinessObjects |
| Microsoft Power BI | Qlik Sense |
| Microsoft SQL Server | Apache Spark |
| ETL (Extract, Transform, Load) | Database Management & Reporting |
| Data Modeling | Tableau software |
| MicroStrategy |
BI Developer Eligibility- To be a BI Developer, you should have a degree in Computer Science or programming along with some work experience in related fields. 5 to 7 years of relevant work experience is considered ideal for getting a good position as a BI Developer.
Database Administrator Jobs & Salary for Fresher and Experience
As the name suggests, database administrators have to manage the database(s) of a company. It is their job to make sure that the software managing the database is maintained properly so that it is quickly accessible whenever needed. The company database is constantly exposed to access, traffic, and searches, hence it is quite likely to be damaged. This is where database administrators come to the rescue as they maintain the efficiency of the company’s servers.
Average Base Salary- ₹5,10,367/-
Database Administrator Total Salary based on Fresher & Experience-
| Database Administrator (Years of Experience) | Total Average Salary Per Annum |
| Freshers & Less than 1 year | ₹2,91,290 |
| 1-4 years | ₹4,25,448 |
| 5-9 years | ₹8,21,420 |
| 10-19 years | ₹13,05,947 |
| More than 20 years | ₹1,00,000 |
Database Administrator Job Description- The day to day job description of a database administrator is as follows:
- Work with the IT security team to maintain and secure sensitive business data.
- Keep the information of the company accessible to relevant individuals/departments in an efficient manner.
- Make the necessary data available and accessible via cloud servers (if required).
- Ensure quick and efficient cloud access to data.
Database Administrator Key Skills- Following are some of the important skills, programming languages, and tools that a data architect must know to get the desired job.
| Data warehouse | Amazon Web Services (AWS) |
| Database architecture | Apache hadoop |
| Data modeling | Microsoft Azure |
| Big Data analytics | Data Management |
| Business intelligence | Cloud Computing |
| Software architecture | ETL (Extract, Transform, Load) |
Database Administrator Eligibility- You must have a bachelor’s degree in computer science or related fields, along with an associate’s degree in database administration or any similar and relevant degree. A candidate with a background in IT work related to database administration or within database administration teams are usually preferred.
Top 10 Biggest Recruiters In Data Science and Analytics
The MNCs and domestic IT and KPO organisations of India have dominated the analytics job market as surveyed at the end of August 2020. The 10 leading organisations among them are:
| Accenture | Mphasis |
| Cognizant Technology Solutions | Infosys |
| Capgemini | Tech Mahindra |
| IBM India | Dell |
| HCL Technologies | Collabera Technologies |
There has been a substantial increase in the funding of Indian analytics start-ups which has led to an emerging and evolving analytics domain in India. This development is in the niche of Data Science, Data Analytics, Cloud Analytics, Digital Analytics, Robotics & Artificial Intelligence, and Natural Language Processing (NLP).
Even the government of India encourages organisations to heavily invest in the development of science and analytics capabilities in the nation. This has led to more job openings by corporations in sectors such as Information Technology (IT), International Technology, Semiconductor and Electronics, and Software.
You are probably intrigued by the marvellous career that lies ahead of Data Science professionals. If you are thinking of pursuing data science as your career then you must know the right courses and the best colleges. In case you are looking for online courses and colleges for the same, then you can visit College Vidya to find all the government-approved online colleges that offer data science courses in the online mode.
