Data Science is a huge and booming industry and everyone might have heard about it somewhere in the news or internet. In the past few years, Data Science is becoming more and more popular because its applications are used nowadays in almost every sector. Thus creating ample job opportunities for deserving candidates. In this article, we will discuss in-depth about top 10 demanding jobs in Data Science industry. Before that let’s first talk about this highly emerging field.
Data Science in simple terms
The simplest definition of Data Science can be stated as, a process of extraction of actionable insights from raw data. Raw data is unprocessed data that may be stored in a file, or it may be a collection of characters and numbers stored in a computer. Such raw data or unprocessed data needs to go through processing such as important data to be extracted, organized and formatting it in a way that everyone understands.
This data is valuable for the management team to make big decisions that would produce a bigger impact on their organization.
Every company needs people to handle and manage their data. Let it be the Healthcare industry, Logistics, Entertainment, Banking, Finance, Cybersecurity, Telecommunications, Retail and even Education, Data Science is used in all such fields.
Top 10 jobs in Data Science
Now let’s see the list of top 10 popular and demanding jobs in the Data Science Industry.
1. Data Scientist
Job Description: Data Scientist is one of the best technology jobs in Data Science. Data Scientists convert the unprocessed data (raw data) into processed data to gain valuable insights to help to make strategic business decisions to grow their organization. They interpret and analyse data from multiple sources, study them and provide solutions to the problems.
Data Scientists manage large datasets and discover effective patterns in the data that will benefit the organization. They perform techniques like data modelling, data mining and production. These professionals develop prototypes, algorithms, predictive models and carry out the analysis. However, Data Scientists perform more technical tasks compared to Data Analyst and other related roles.
Skills Required: This position requires strong knowledge of –
- Data analysis along with software tools
- Machine Learning
- Statistical Analysis
- Programming Languages like Python and R
- Knowledge of popular Big Data concepts, Data Visualization, Data Wrangling, Data Exploration, etc.
Average Salary: The average salary of Data Scientists is about 68,500 INR per month in India.
2. Machine Learning Engineer
Job Description: As the name says, Machine Learning Engineers runs tests and experiments and develops appropriate ML algorithms. They design and develop machine learning and deep learning systems. They need to monitor the performance and functionality of such systems.
These engineers are responsible for creating data funnels and providing software solutions. They work closely with Data Scientists to ensure that the models used should work with real-time data to create more accurate results.
Skills Required: Machine Learning Engineers need to have strong knowledge of programming and statistical skills. Also, knowledge of software engineering is key. Other skills then require are –
- Machine Learning and Deep Learning
- Python
- Natural Language Processing (NLP)
- Computer Vision
- Understanding of Data Structures
Average Salary: Machine Learning Engineers typically earn an average of 58,400 INR in India.
3. Data Architect
Job Description: Data Architect is one of the highest paying jobs in Data Science. They are responsible for designing, structuring, and maintenance of data, generally organized in a relational database. These engineers create database systems, use performance and design analytics to improve interconnected data systems within the company. They need to ensure the accuracy and easily accessible data for all in the organization.
These architects develop strategies, communicate plans and often find ways to improve the performance and functionality of the existing systems. And they develop the organization’s enterprise management framework.
Skills Required: Data Architects are highly technical and skilled with data-oriented computer languages like SQL and XML. They are required to have good communication skills as they are typically a part of a larger team. Also, they should easily communicate and transfer complex technical concepts to non-technical staff.
Additionally, they need to develop other skills and knowledge in the fields of –
- Data Modelling
- Database Architecture
- Data Warehousing
- Big Data Analytics
- Data Visualization
Average Salary: On average, Data Architects in India earn about 1,65,000 INR per month.
4. Data Analyst
Job Description: A Data Analyst analyze, collects and stores valuable data. Such data includes sales records, market research, logistics and other important information. They work with a large volume of data and turn them into facts that can be used to make better decisions. Data Analysts can manipulate, transform and present data whenever needed. They need to have knowledge of A/B testing and web analytics.
These analysts must have a good understanding of databases such as SQL databases. They have to have good communication skills because they will be in constant interaction with the higher-level executives in obtaining insights from their analytics.
Skills Required: Data Analysts must develop the following skills –
- Data Analysis
- Database management and SQL knowledge
- Programming languages like Python, R
- Statistical Analysis
- Microsoft Excel
- Comfortable with data analysis workflow and data visualization skills
Average Salary: Data Analysts in India earn an average of 36,400 INR per month.
5. Data Engineer
Job Description: Data Engineers are responsible to find trends in datasets and develop algorithms. They develop and translate algorithms into prototype code. Also, they maintain, organise and identify trends from a large volume of data in order to have better access to data. Data Engineers should have an understanding of database management, data warehousing and querying, schema and other related expertise.
They need to develop good communication skills as they have to work with several other departments to understand the data requirements. They have to develop reports, dashboards and other visualization for business users.
Skills Required:
- Data Engineers should develop skills in ETL process (Extract, Transform, Load), Big Data Analysis and tools such as Apache Spark.
- Knowledge of programming languages like Python and SQL databases.
- Knowledge of algorithms and data structures
Average Salary: In India, the average salary of a Data Engineer is 69,800 INR per month.
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6. Data Warehouse Manager
Job Description: Data Warehouse Manager is responsible for managing and supervising the staff, development team, and other day-to-day activities of the company data warehouse. They monitor databases to ensure and maintain their health, efficiency, accessibility, functionalities and security protection. They must follow the standard policies and system surrounding the data warehouse.
These managers have to design, implement and maintain database management projects to ensure it stays on time and within budget. Also, they have to manage database administrators and other IT people related to data storage systems.
Skills Required: They need to be expert in the following skills –
- Extensive knowledge of database systems
- Data Warehouse technology
- Database Management design principles, application, architecture and enterprise architecture
- Data Analytics and reporting
Average Salary: The Data Warehouse Manager in India earns on average 96,700 INR per month.
7. Business Intelligence (BI) Analyst
Job Description: Business Intelligence Analysts are experts in programming languages, Business Intelligence (BI) tools, technologies and systems. They are responsible for collecting business data in many ways such as through data mining techniques, looking at competitor data and current market trends. They implement Data Warehousing strategies, define Key Performance Indicators (KPIs), and identify Business Intelligence by using advanced software and tools.
Skills Required: The BI analysts should possess a strong understanding of managerial and professional skill sets. They need to collaborate with several other departments within the organization. In addition to this, other skills required for this position are as shown –
- Business Intelligence
- Data Analysis and Business Analysis
- SQL
- Data Warehousing
- Data Modelling
- Tableau Software
- Microsoft Excel
Average Salary: The Business Intelligence Analysts earn an average of 49,300 INR per month.
8. Database Administrator (DBA)
Job Description: A Database Administrator is specialized in storing and organizing data. The DBA configures, implements and troubleshoots for optimizing database security. They need to create a database plan, design, install, configure, migrate, performance check, and backup and data recovery.
A DBA diagnoses and troubleshoots database errors and recommends emerging database technologies. They manage database, database access, update the existing database or install new database applications.
Skills Required: Following skills are recommended for a DBA to possess –
- Great understanding of SQL and SQL server tools
- Advanced database management knowledge
- Database Administration
- Database technologies like Oracle, Oracle 11g, MYSQL, etc.
Average Salary: The average salary of a Database Administrator in India is about 41,300 INR per month.
9. Statistician
Job Description: Statisticians collect, analyse and interpret a variety of data to identify trends and thus assist the decision-makers with their work. These statisticians process and analyse data using different mathematical techniques and specialized software, and thus report the results. They often work with a team with other professionals. They are involved in design data collection processes, interpret and communicate results with clients and advise operational strategies.
Skills Required: The statisticians are required to have the following skills –
- Statistical Analysis
- Data Analysis
- R programming language
- Data Modelling
- Presenting and reporting skills
Average Salary: Statisticians, on average, earn about 44,500 INR per month in India.
10. Business Analyst, IT
Job Description: A Business Analyst, IT, is an expert in both business administration and information technology. They focus on the enhancing quality of information technology products and services within the organization. These analysts create plans for information technology development and testing. They identify, communicate and manage risks associated with IT projects. The IT business analyst will analyse software, hardware and other IT services within the company.
They carry out analysis such as cost-benefit analysis, feasibility analysis and also others. These analysts analyse the data to make wise business decisions and discover technological solutions helpful for business needs. They work with Technical Analysts and the development team to organize and clarify business needs and specifications.
Skills Required: Following skills are essential for this position –
- Business Analysis
- Requirements Analysis
- Knowledge of SQL is a must to analyse data from database
- Project Management
- Great presentation and report making skills
Average Salary: The IT Business Analysts typically earn on average 50,500 INR per month.
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Conclusion:
These are the top 10 jobs in the Data Science industry. In this article, we described the highest paying, highly responsible jobs in Data Science. Data Science is a file that is emerging every year. Data Science has a tremendous career opportunity with the demand in almost every sector.
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