1. Data Analyst
Data analysts control and transform huge data sets. Additionally, they enable higher-level executives to obtain insights from their analytics. Analysts should have sufficient knowledge of tracking web analytics and A/B testing. Entry-level positions in this area need a minimum of a bachelor’s degree with an emphasis on science/math/statistics. Your aptitude in mathematics and logical ability makes a lot of difference. Often, people proficient in programming—with skills in SQL, Python, Oracle, etc.—are given preference for this role. The average data analyst salary in India is 4.5 lakhs per annum.
2. Data Scientist
There is heavy debate about the similarities and differences between data analysts and data scientists since they both work with data, however, the main difference lies in what they do with it. It is a more technical role than a data analyst. Data scientists perform data preparation tasks like cleaning, organizing, etc that enable businesses to take strategic actions. They handle huge datasets and discover meaningful patterns and trends from the data.
A master’s degree or Ph.D. is desirable for the designation of a data scientist. Hands-on experience is crucial for data scientist roles, apart from having a sound background in IT, CS, maths, and other such disciplines. The average data scientist salary in India is ₹7 LPA.
3. Machine Learning Engineer
a machine learning engineer is responsible for creating data funnels as well as delivering software solutions. Additionally, your job will involve running experiments to monitor the system's efficiency and functionality.
Machine learning engineers are required to have powerful statistical and programming skills. Software engineers with adequate ML experience is chosen for such roles. The average machine learning engineer salary in India is ₹7LPA.
4. Applications Architect
These practitioners monitor applications, supervising how exactly they are operating within the organization and how users are interacting with them. Their job is to build the architecture of applications, replete with elements like the user interface as well as app infrastructure. It is not only one of the highest-paid data science jobs in India, this is also fast-paced. For a job in this domain, you would usually require a computer science degree, together with industry certifications in architectural design and programming. The average application architect salary in India is ₹19 LPA.
Statisticians are employed to gather, analyze, and interpret information, thus helping the decision-makers with their work. Their daily deliverables also include communicating data relationships and trends to stakeholders as well as contributing to setting operational strategies. Entry-level openings may accept candidates having a bachelor’s degree. But most statisticians hold at least a postgraduate diploma in mathematics, computers, economics, or other quantitative fields. The average statistician salary in India is ₹5 LPA.
6. Business Intelligence Analyst
BI analysts formulate strategic blueprints for organizations while ensuring that the essential information can be used with ease. Additionally, they facilitate end-user understanding of the BI applications and tools developed by them. The job of BI analysts requires a combination of technical expertise with the knowledge of business and management concepts. Having prior business research and project coordination experience gives you a competitive edge.
Many applicants hold an MBA with a specialization in analytics. The average business intelligence salary in India is ₹5.5 LPA.