Data analysis involves applying logical or statistical tools to clean, transform and process data. The main aim is to discover information to develop business strategies and insights. India has experienced exponential growth in the data analytics industry. One of the main reasons is high internet penetration, which doubled from 20% in 2018 to 41% in 2019 as per a report by the World Bank. India is expected to add more than 900 million users in 2025. The data analytics sector recorded a year-on-year growth of 26.5% in 2021, taking the market value to a whopping $45.4 billion.
With this growth, data analytics offers immense scope for an exciting and successful career. Anyone with a graduation degree in IT, Statistics, Economics, Computer Science or Mathematics can become a data analyst. To make a strong entry into this segment and improve your career prospects, you can consider GeekLurn’s Data Science Architect Program. Being a member of NASSCOM and a partner of IBM, GeekLurn is able to offer a course that provides adequate knowledge and experience to make you industry ready. That’s the reason the program comes with a 100% placement guarantee. It is an ideal course for those who wish to build a career in Business Analytics, Data Analytics and Data Science Project Management. It is a 24- months program, including 6 months of live interaction classes and 18 months of sponsored project work. It also offers 1.5 years of real-time experience certificate, 320+ hours of live training sessions, and 50+ sponsored funded research projects.
To decide whether this field is suitable for you, here’s a look at the data analyst responsibilities.
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What Does a Data Analyst Do?
So, what is a data analyst job? The main role is to convert data into a structured form. This helps to solve business problems in different industries like finance, criminal justice, medicine, science and government. Data analytics can take multiple forms depending on the question you are trying to answer. Here’s a deeper look at the various data analyst responsibilities:
| Report the result of findings via graphs or presentations. | Data visualisation, data dissemination and removing null values. |
| Categorising the values of columns as per data type like male, female, true or false. | Eliminating redundant and non-essential rows and columns |
| Synthesis information to produce action plans | Create data models and tools to monitor data |
| Predictive forecasting or classifying data as per columns and rows via spreadsheets | Communicate data collection procedure to custodians of data |
| Interpreting data to involve finding patterns or trends | Cleaning data means maintaining data quality through a programming language. |
Other data analyst work involves developing and maintaining the database, removing corrupted data, fixing coding errors, analysing local and national trends that impact both industry and organisations, using statistical tools to analyse and identify complex datasets and preparing a final analysis that enables stakeholders to take important decisions. All of these are performed in different fields by medical and healthcare analysts, market research analysts, business analysts, intelligence analysts and operations research analysts.
Data Science Tools
Analysts use a bunch of highly powerful tools to find solutions to problems. The main ones are Tableau, R or Python, SAS, Microsoft Power BI, Microsoft Excel, Jupyter Notebook, SQL and Google Sheets. Other skills include handling reporting packages, problem-solving, teamwork and verbal and written communication. Data analysts should also have clear knowledge of how to apply accurate algorithms and data mining and segmentation.
Job Requirements for Data Analysts
A data analyst’s role includes implementing software engineering methodologies, experience in working with database tools and managing large databases. It is good to have some experience in troubleshooting, collaborating with teams and maintaining data confidentiality. Being well-equipped with these skills can help you secure a job in leading companies in the country and around the world.
As a data analyst, you will be able to streamline business operations, mitigate risks and manage setbacks, customise buyer experience with an insight into online behaviour, remove bottlenecks, ensure product accuracy and reduce the chances of security threats. You will be able to analyse a rich variety of data that an organisation generates and unlock valuable insights to boost productivity and revenues.
Neel Neeraj
Neel is a Product Manager with an interest in Data Science, Machine Learning, Cloud Computing, DevOps, and Blockchain with expertise in Python, R, Java, Power BI and Data analytics.
