7 Data Based Careers Demystifying Guide
Have you ever been confused about the similarity of names and responsibilities of the tech jobs?
Have you ever considered which of these technology-related jobs might be an ideal fit for you?
It’s understandable that all the jobs you may find on the web regarding the IT sector seem similar in nature and have become confusing and complex to remember.
In this blog, you’ll find 7 data-based jobs along with their differences, the skillset required to become a perfect candidate, and the expected salary.
Data Scientist.
Data Scientist is the hottest job of the 21st century. You must have heard of it a lot of times.
The job of a data scientist is to analyse the business datasets and extract valuable insights from them that answer the business’s required questions and solve their problems.
Skillset required
To become a capable data scientist, you’ll need skills such as
- Advanced programming skills (Python or R)
- Statistical analysis
- Machine learning Algorithm
- Data Modelling
- Data Mining
- Big Data Technologies (e.g. Hadoop or Spark)
Soft skills such as problem-solving skills and data storytelling.
Salaries
The average salary of a data scientist in India is ₹ 9.3 LPA; meanwhile, in the US, it pays $124,758 annually.
Data Analyst
The job of a Data Analyst could be similar to that of a data Scientist as they both make sense of data, but it is quite different as they are both needed to make better data predictions.
Data Analyst uses data analysis techniques to make sense of existing data to produce answers to business problems.
Skillset required
As a Data Analyst, you must be capable of displaying skills such as:
- Proficiency in Data Analysis tools (such as Excel, Python or R)
- Data Visualisation tools (such as Tableau, Power BI, etc.)
- Structured Query Language (SQL)
- Statistical analysis
- Data Interpretation.
Problem-solving and strong communication skills are also essential skills beneficial to becoming a Data Analyst.
Salaries
The average salary of a Data Analyst in India is ₹ 4.2 LPA, and that of a Data Analyst in the US is $76,649 annually.
Data Engineer
The job of a Data Engineer is to build and maintain systems that collect, analyse and store data.
Along with data scientists, they ensure the availability of necessary data for the analysts to work on.
Skillset required
To become a proficient data engineer, you must have a proper understanding of:
- Big data technologies (such as Hadoop and Spark)
- Structured Query Language (SQL)
- ETL (Extract — Transform — Load) process.
- Database management systems (e.g., MySQL, PostgreSQL, NoSQL databases)
- Data pipeline development
- Data warehousing
- Scripting languages (e.g., Python, Scala)
Nowadays, the essence of cloud computing is also adding to it (e.g. AWS, Azure and GCP, to name some), as it is significantly less risky and more efficient for companies to store data online.
Salaries
In India, a Data Engineer can expect up to ₹ 7.3 LPA; in the US, a Data Engineer can get up to $123,734 per annum.
Data Architect
The job is similar to Data Engineer, i.e., designing and maintaining systems that help in data collection, processing and storage. Still, they are also different as they also work with business higher-ups to understand the organisation’s needs and make strategies to develop the systems to answer those needs.
In simpler terms, the job of a Data Architect is to design the way the systems must be built, while the responsibility of a Data Architect is to create the systems in the way a Data Architect decides.
Skillset required
Fundamental skillset of a Data Architect is composed of skills such as :
- Data Integration.
- Database design.
- Data Modelling.
- Data Management & Storage Technologies (e.g. SQL Server, Oracle, AWS, Azure)
Along with them, they need to have strong problem-solving skills and communication skills. They need to be able to discuss the technical difficulties and solutions with people outside the technological field.
Salaries
The salary of a Data Architect in India is ₹ 25.0 LPA; in the US, Data Architect has an average salary of $1,55,077 per year.
Database Administrator
This job seems similar primarily to data engineer (again) but is focused on the maintenance of the database of the organisation.
Consider it a differentiated path from data engineers as they’ll create it and DBA maintain its implementation, performance and security.
Skillset required
- Database Management Systems (DBMS) (e.g. Oracle, SQL Server, MySQL).
- Database tuning and optimisation.
- Backup and Recovery procedures.
- SQL scripting.
- Security Access and Control.
- Cloud database services. (e.g., AWS RDS, Azure SQL Database).
They also need strong analytical skills to identify the trends and patterns of data.
Salaries
In India, the monetary compensation Database Administer receives is ₹ 10.0 LPA, and that of America is $94,581.
Data Privacy Officer
It is an emerging field in the world of tech jobs; the role of a Data Privacy Officer is to ensure the company follow all the data privacy procedures. They make all the data protection policies that help companies track the data compliance laws.
They also educate all the company members about data protection and maintain contact with higher-ups by reporting the company’s data compliance with the nation’s guidelines.
Skillset
The skills needed to become a Data Protection Officer are of mixed nature, requiring technical and non-technical skills.
- Knowledge of Data Protection Regulations (e.g. GDPR, CCPA)
- Data Privacy Compliance.
- Data mapping and Classifications.
- Understanding of privacy tools and applications (e.g. SolarWinds, Wired Relations, privIQ etc.)
Strong Communication skills are required to become a Data Protection Officer. As well as the ability to keep information confidential, it is a job heavily dependent on interpersonal skills.
Salaries
The Job of Data Privacy Officer pays ₹ 25.0 LPA in India and £56,005 in the UK.
Data Security Analyst
As the name suggests, they are the guardians of the organisations’s data systems. They prevent the company’s data from unauthorised access and modification. They build and maintain tools and technologies to monitor and secure data systems.
Skillset Required
The skillset of a capable Data Security Analyst is built with skills like:
- Proficiency in a Scripting language (e.g. Powershell, Python or Bash).
- Understanding and experience in Cybersecurity technologies.
- Experience in data protection techniques.
- Vulnerability protection and penetration testing (e.g. Nessus, OpenVAS).
- Familiarity with multiple OS (e.g. Windows, Linux, Unix).
Salaries
The average salary of a Data Security Analyst in India is *₹ 5.0 LPA, and in the US, a Data Security Analyst can expect $92,579 per year.
Conclusion
After this blog, you must have understood the differences between similar-sounding jobs and their different skills and responsibilities.
You must have also clarified the difference in the salary and how much the base pay would be.
You are now well-equipped to decide on the most suitable job based on your skill set and take the best steps to enhance those skills, ultimately positioning yourself as the ideal candidate for your chosen career path.
Which Data Job would you prefer?
Let me know in the comments…
