Organizations are increasingly looking to make more of the data they possess in order to inform and influence business thinking and strategy. As a result, people with the skills to mine big data and create meaningful insight from disparate data sources are in big demand. In fact, it is expected that India will create the Highest-Paid Salaries In the coming days.
Despite this growing demand, there is a shortage of people in India possessing the necessary big data knowledge and data science skills. This has meant that many organizations are looking for Programmers And Analysts in other fields to fill the gap – presenting an ideal opportunity for anyone with Programming Knowledge Or Analytic Know-How To Upskill And Embark On a Career in the new and exciting area of data science.
What is a Data Scientist?
Data scientists are responsible for making sense of the data an organization possesses and they use a variety of methods, processes, and systems to extract insight that enables organizations to make strategic decisions, spot trends, and exploit market opportunities. To succeed in the data science world, prospective data scientists or Big Data Analysts will need to have a range of Technical And Analytical Skills supplemented by knowledge of specialist tools and excellent communication and presentation skills.
How To Become Data Scientist?
The demand for Data Science Professionals is increasing and training on big data tools and Programing Courses covering data science concepts can help you to stand out. While the need for skilled professionals able to handle large data sets is recognized across many industry sectors, the rise of data scientists is particularly evident in the retail, e-commerce, and finance sectors.
Most employers seeking data scientists and big data analysts will usually be looking for a strong technical background and competency with code and data platforms. The most common Programming Languages used in big data applications are Java, Python, and C And C+. It can also be useful to have an understanding of commonly used tools such as Spark, Mongo, Cassandra & Pig.
Many data scientists and big data analysts are also required to have programming knowledge, our range of Programming Training includes SQL, Dot Net, Perl, Ruby, and Python Courses – and these can help you gain the necessary background knowledge.
Top 10 Highest Paid Data Science Jobs In India By 2021
Analytics Insight has listed the top 10 highest paying data science jobs in India that candidates should apply for in February 2021
1. Data Analyst
Average salary (Per Year): INR 6,35,379
The job of the data analyst is to assign a numerical value to these important business functions so that the company’s performance can be accessed and compared over time. Data analyst jobs mostly involve looking at numbers and knowing how to use data to enable an organization to make more informed decisions.
2. Data Scientist
Average salary (Per Year): INR 8,15,779
Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientist’s role combines computer science, statistics, and mathematics. They analyze, process, and model data, then interpret the results to create actionable plans for companies and other organizations. Remarkably, data scientists are also analytical experts who utilize their skills in both technical and social science to find trends and manage data. The actual job involves making sense of unstructured data from sources such as smart devices, social media feeds, and emails.
3. Data Engineers
Average salary (Per Year): INR 8,26,959
Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise. Data engineers are accountable for building algorithms to help give easier access to raw data. But to do this, they need communication skills to work across departments to understand what business leaders want to gain from the company’s large datasets. Data engineers also need to understand how to optimize data retrieval and develop dashboards, reports, and other visualization for stakeholders.
4. Business Intelligence Analyst
Average salary (Per Year): INR 5,83,784
Business intelligence analysts are proficient in computer programming languages, Business Intelligence (BI) tools, technologies, and systems. BI analysts determine business-critical priorities and requirements. They define KPIs (Key Performance Indicators), implement DW (Data Warehouse) strategies, and identify BI by mining big data using advanced software and tools. The BI analyst’s primary goal is to empower decision-makers with accurate, real-time, actionable insights that enhance workflow efficiency, increase productivity, strengthen market positioning, improve the competitive edge and augment customer experience.
5. Quantitative Analyst
Average salary (Per Year): INR 9,67,725
A quantitative analyst or ‘quant’ is a specialist who applies mathematical and statistical methods to financial and risk management problems. Investment banks, asset managers, hedge funds, private equity firms, and insurance companies employ quantitative analysts to help identify profitable investment opportunities and manage risk.
6. Machine Learning Engineer
Average salary (Per Year): INR 6,71,548
Machine learning engineers sit at the intersection of Software Engineering And Data Science. They leverage big data tools and programming frameworks to ensure that the raw data gathered from data pipelines are redefined as data science models are ready to scale as needed. Machine learning engineers focus on designing self-running software for predictive model automation. They work closely with data scientists and ensure that the models used can ingest vast amounts of real-time data for generating more accurate results.
7. Data Architect
Average salary (Per Year): INR 1,900,000
Data architects are senior visionaries who translate business requirements into technical requirements and define data standards and principles. After assessing a company’s potential data source, both internal and external, data architects design a plan to integrate, centralize, protect and maintain them. Data architects are responsible for visualizing and designing an organization’s enterprise management framework.
8. Database Administrator
Average salary (Per Year): INR 4,94,678
Database administrators create and maintain databases compatible with their companies’ needs. They oversee database updates, storage, security, and troubleshooting. Database Administrators ensure that data remains consistent across the database, data is clearly defined, users access data concurrently and there is provision for data security and recovery control.
Average salary (Per Year): INR 5,26,829
Statisticians practice the science of using data to make decisions. They decide what data they need and how to collect it, design experiments, collect, analyze and interpret data, and report conclusions. Statisticians often work in teams, usually including professionals from other disciplines. They interpret data and communicate results to their clients, often with the aid of mathematical techniques and software.
10. Enterprise Architect
Average salary (Per Year): INR 31,11,000
Enterprise architects are responsible to make sure that a company’s business strategy uses proper technology systems architecture to achieve its goals. Enterprise architects have an enormous degree of responsibility and reports directly to the chief information officer (CIO). They need to keep up with the latest trends in technology and determine whether or not they would be the right fit for a company.