Data Analytics Jobs, Salary, Resume, Career, Skills, Roles & Responsibilities | Simplilearn

2. The Growth of Data

3. The Growth of Data Data has grown vastly over the last decade and is expected to reach 175 zettabytes in 2025 according to the International Data Corporation (IDC)

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5. The Growth of Data Data has grown vastly over the last decade and is expected to reach 175 zettabytes in 2025 according to the International Data Corporation (IDC) Now, that’s a lot of data!!

6. The Growth of Data Organizations across the world generate countless data every second. This data can be in the form of financial reports, customer data, and sales reports to name a few

7. The Growth of Data Organizations rely on these generated data to make various crucial decisions. The data generated is reliable only when it is analyzed well

8. The Growth of Data Organizations rely on these generated data to make various crucial decisions. The data generated is reliable only when it is analyzed well To help organizations with this, we have Data Analytics!

9. The Growth of Data Data Analytics is the process of collecting data, cleaning it, and then transforming it into meaningful information. It uses various technologies and techniques to do this job Business insights 11001 10010 01000

10. The Growth of Data Data never sleeps, the limitless generation of data is only going to increase in the future. The Data Analytics domain is an integral part of every company

11. The Growth of Data Companies are on the lookout for professionals who can turn raw data into crucial insights. Hence, there is and there will be a constant demand for professionals in this field

12. The Growth of Data Companies are on the lookout for professionals who can turn raw data into crucial insights. Hence, there is and there will be a constant demand for professionals in this field Let’s now have a look at the various job roles in the field of Data Analytics!

13. Job Roles

14. 1. Data Analyst AData Analyst collects, processes, and performs analysis on large datasets. They deal with data handling, modelling, and reporting RESPONSIBILITIES SKILLS • Recognize and understand the organization’s goal • Gather information from a database through querying • Filter and clean data • Identify, analyze, and interpret trends in complex datasets. This is done with the help of various statistical tools • Prepare summary reports to the leadership team. This is done with the help of data visualization • ₹523k per annum in India $62,453 per annum in the USA • A bachelor’s degree in computer science or information technology • Understanding of tools like SAS Miner, Microsoft Excel, SSAS • Basic knowledge of Machine learning • Good at working with various Data Visualization software along with good presentation skills Source: Glassdoor

15. 2. Business Analyst A Business Analyst analyzes the business domain and understands the business problem. They provide technology-based solutions SKILLS RESPONSIBILITIES • Understand and clarify the business objective • Interact with the development team to design the layout • Run meetings with the stakeholders and other authorities • Ensure that the project is running as per the design through user acceptance testing • Effectively document all the findings. They are also required to deliver maintenance reports • ₹700k per annum in India $68,346 per annum in the USA • A bachelor’s degree in the related field • Be good with SQL queries and business process models • Knowledge of data mining, statistical analysis and predictive modeling • Strong analytical and decision-making skills. Along with good presentation and communication skills. Both oral and written communication Source: Glassdoor

16. 3. Database Administrator Database Administrators are professionals who are responsible for storing and organizing a company’s data. They do this with the help of various technologies SKILLS RESPONSIBILITIES • Database Administrators work on database design and development • Maintain the integrity of the databases • Run tests and modify the existing databases. Inform end users of the changes • Liaising with programmers and other IT staff • They are also required to write disaster recovery plans • ₹4,97,668 per annum in India $78k per annum in the USA • A bachelor’s degree in computer science or information technology • 3 to 5 years of database management experience • Knowledge of database design, queries • Understanding of operating systems and storage technologies Source: PayScale

17. AData Engineerbuilds and tests scalable Big Data ecosystem for businesses. A data engineer is an intermediary between a data analyst and a data scientist 4. Data Engineer SKILLS RESPONSIBILITIES • Develop, test and maintain architectures. Align architecture with the business requirements • Discover opportunities for data acquisition • Create large data warehouse using ETL • Recommend ways to improve data efficiency and quality • Mostly, Data Engineers would be required to work on big data. They submit their reports to the Data Scientist for analysis purpose • ₹8,85,000 per annum in India $103,000 per annum in the USA • A bachelor’s degree in computer science or information technology • Well versed with Big Data Analytics, Hadoop, Apache Spark, Scala, Cassandra and MongoDB • Data warehousing and ETL experience is required • Basic knowledge of statistical analysis and a good knowledge of operating systems Source: Glassdoor

18. Data Scientists are professionals who arrive at business conclusions by using advanced level data techniques. They are usually the senior most in the team 5. Data Scientist SKILLS RESPONSIBILITIES • They mine and clean data. They perform ad-hoc data mining. • Designs and evaluates advanced statistical models to work on big data • Interprets the analysis on big data • A Data Scientist takes input from Data Analysts and Engineers to formulate the results • Prepare reports for the relevant stakeholders. They also adopt new business approaches • ₹10,47,000 per annum in India $113,000 per annum in the USA • A master’s degree in the field of data science and a good experience in the analytics background • Familiarity with Apache Hive or Pig and Apache Spark • Proficient in SQL. Knowledge of machine learning and deep learning • Good presentation and communication skills Source: Glassdoor

19. 6. Machine Learning Engineer Machine Learning Engineers uses different algorithms and statistical modeling to make sense of data. They work towards designing self-running software SKILLS RESPONSIBILITIES • Research, design and develop machine learning systems • Perform A/B testing and build machine learning algorithms • Use data modelling to discover patterns • Work with Data Engineers to build data pipelines. Interact with stakeholders to clarify requirements • Analyze complex datasets to arrive at the appropriate technique. Improve the existing machine learning infrastructure • ₹8,00,000 per annum in India $114,000 per annum in the USA • Advanced degree in computer science or math with an experience in the same domain • Knowledge of statistics, probability, linear algebra and calculus. Familiarity with signal processing techniques is also beneficial • Understanding of various machine learning libraries • Both oral and written communication skills Source: Glassdoor

20. Resume – Data Analyst