Watch out for the top big data and data science roles in 2022

by Analytics Insight

March 13, 2022

Data science and big data support a wide range of job opportunities, explore top data science roles for 2022

The rise of data science has in some ways led to a concomitant explosion of roles involving data. No wonder it’s one of the hottest and most advanced fields of technological applications today. Perhaps what is currently the best job market converges in the field of data science. This emerging field is now revolutionizing technology and industry alike. As industries become more data-driven across all industries, this is affecting the job market and the skills required. As we discover new data touchpoints and ways to analyze them, the society we live in, our daily lives and the country’s economy become increasingly dependent on data. For this reason, data science and big data also support a wide range of employment opportunities.

While the data scientist is considered the most attractive job of the 21st century, job roles such as data architect or data analyst have become increasingly important in recent years. Let’s get a quick overview of the most common job roles in data science and big data.

Average Salary in India: INR 518,935

A data statistician collects, analyzes, and understands qualitative and quantitative data using statistical theory and methods.

Skills: Database systems (SQL and NoSQL), distributed computing, data manipulation and cleansing, analysis tools (MatLab, R), statistical software (SAS, SPSS)

Average Salary in India: INR 700,000

A business analyst has the ability to connect data insights with actionable business insights and can use storytelling techniques to spread the message throughout the organization.

Skills: SQL, MS Office, storytelling, conscious listening, Power BI

Average salary in India: INR 830,088

A data engineer focuses on designing, deploying, managing, and optimizing data pipelines and infrastructure to transform data for query and transfer to data scientists.

Skills: programming languages ​​(Java, Scala), NoSQL databases (MongoDB, Cassandra DB), frameworks (Apache Hadoop)

Average salary in India: INR 682,476

The data administrator needs to ensure that the database is accessible to all stakeholders in the organizations, is functioning lawfully and that the necessary security measures are in place to keep the stored data safe and immune from hacking attacks.

Skills: ERP, data modeling and design, Java, HTML, database management system (Oracle 11g, Microsoft SQL Server, IBM DB2, Sybase and MySQL), knowledge of operating systems (Windows, Linux, UNIX), management of information systems (MIS).

Average salary in India: INR 1,983,996

Data architects are charged with the responsibility of designing, building, deploying, and managing an organization’s data architecture. You need to design blueprints for a data management framework to integrate, centralize, and maintain data sources.

Skills: RDMSs (relational database management systems) or basic database, programming languages ​​(Python, Java, C++), Hadoop technologies like MapReduce, Hive and Pig, ETL (extract, transform, load), data modeling (Impala, Oozie, Mahout, Flume)

Average Salary in India: INR 427,021

A data analyst works to process and perform primarily statistical analysis of existing data sets. Apart from that, a data analyst is responsible for data query and forecasting to look for relationships, patterns and trends in data.

Capabilities: Programming skills (SAS, R, Python), statistical and mathematical skills, data wrangling, data visualization (Tableau, Qlik), spreadsheet tools like Microsoft Excel or Google Sheets.

data scientist

Average salary in India: INR 10,00,000

The job of a data scientist is to understand an organization’s goals and determine how data can be used to achieve those goals. A data scientist also designs predictive models, which often include machine learning and deep learning protocols. for purposes of prediction, data collection, data analysis, etc.

Capabilities: Programming skills (SAS, R, Python), Statistical and Mathematical Skills, Storytelling and Data Visualization, Hadoop, SQL, Machine Learning, Predictive Modeling

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