Data Scientist or Data analyst – Which is better?


Are you confused between Data scientist or Data analyst? Do you want to know which is better – Data Scientist or Data Analyst? So, here we will discuss both in detail.

Data science and data analysis are two different fields. Therefore, there are the differences between them. On the other hand, there are various similarities as well. Therefore, we will go into detail to know about data science and data analysis. 

We will start by telling you what Data Science and Data Analytics are. After that, we will explain the differences and similarities between Data Scientist and Data Analyst.

What is Data Analytics

Data analytics has been around for more than 30 years, which may or may not surprise you. It all started with the launch of Microsoft Excel. Before this launch, data analytics was all about manual exercises. All analytics-related work was done using calculators and the trial-and-error method. As a result, it is not incorrect to say that the release of Microsoft Excel was a catalyst for the field of data analytics.

What is Data Science

It is very clear from the above paragraph that MS Excel kicked off the business analytics field. Similarly, two major trends contributed to the start of data science. Firstly, It is technology in general. Secondly, it is the Internet, in particular. Both of these trends led to an unpredictable data science boom.

No doubt, innovation in new technologies has made it very easy to analyze and interpret vast amounts of data. Therefore, companies are now able to make many impactful and meaningful decisions.

The Internet, on the other hand, has provided endless amounts of information to companies. The Internet has undoubtedly contributed to helping companies make massive decisions by using exponential information.

Now, we are going to discuss the differences between data scientist and data analyst. In Addition, we will also know about the similarities.

Differences between a Data Scientist and a Data Analyst

Basis Data Scientist Data Analyst

Who is Data Scientist & Data Analyst

A professional who designs various data modelling processes for creating algorithms and predictive models is known as a “data scientist.” He then conducts a custom analysis.A professional who manipulates large data sets and uses them to identify trends is known as a “data analyst.” He then draws meaningful conclusions to guide strategic business decisions.

Skills Possessed by Data Scientist & Data Analyst

A data scientist should possess various technical skills. For example, machine learning and statistical analysis. A data analyst should possess a combination of various technical skills. For example, knowledge of database languages like SQL and spreadsheet tools like Excel,  In addition, data visualization software Power BI and Tableau increase the chance.

Job Responsibilities 

  • Gather large sets of structured and unstructured data from various sources
  • Perform ad-hoc data mining 
  • Work with various statistical methods and data visualization techniques
  • Design and evaluate advanced statistical models from vast volumes of data
  • Use different algorithms and inbuilt libraries to build various artificial intelligence models
  • Generate actionable insights by using machine-learning tools
  • Gather data from various database sources and warehouses
  • Filter and clean the gathered data
  • Work on writing complex SQL queries and scripts
  • Collect, store, manipulate, and retrieve data from RDBMS such as MySQL, etc.
  • Use different Excel and BI tools to create charts and graphs and further format reports on their basis
  • Analyze complex data sets to spot trends and patterns
Average salary in IndiaIn India, the average salary of a data scientist is around rupees 75,000 per month, which is rupees 9,00,000 per annum.In India, the average salary of a data analyst is around rupees 50,000 per month which is rupees 6,00,000 per annum.
Average salary in the USIn the United States, the average salary of a data scientist is around $8500 per month, which is $1,02,000 per annum.In the United States, the average salary of a data analyst is about $6000 per month, which is $72,000 per annum.

Similarities between a Data Scientist and a Data Analyst

Basis Similarity

Basic Responsibilities

Both data scientists and data analysts are subjected to gathering and analyzing data and converting it into actionable insights. However, the purpose behind this is different.

Educational Qualification

One does not need any particular qualification to become a data scientist or even a data analyst. Therefore, anyone with a degree in a relevant field related to data science or data analysis can work in these fields. For example, a person with a degree in engineering in computer science, information technology, or mechanical or electrical engineering can pursue the job of a data scientist or a data analyst.

In conclusion, you must have a degree and nothing very specific.

Soft SkillsBoth data scientists and data analysts should possess various soft skills. For example, 
  • Business intuition
  • Critical thinking
  • Analytical thinking
  • Inquisitiveness
  • Communication (For example, Verbal and Non-verbal)
  • Interpersonal skills


From the above, we can see there are many Soft Skills, one should acquire. Above all, we find Analytics Skill increases the chances of selection in the interview.

This was all about Data Scientist and Data Analyst. In other words, these are two different job titles. However, they share many similarities as well. Hope there is no more confusion now about Data scientist or Data analyst. So, Tell us which is better for you.

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A learner, dreamer, and passionate about modern tools and technology like Excel 365, Power BI, SQL, HR Analytics, Six Sigma, WordPress and Visuals to name a few. Total Experience 15+ years including more than a decade of experience in S&P Global and ongoing 4+ years of experience with fast-growing startups & few MNCs. Clients served: Startups, MSMEs to a few of the Big 4 Consulting firms. Trained more than 2500 professionals in the last 4 years on various skills (Analytics, Content, WordPress, Finance, Entrepreneurship, etc). Last but the most important - mother of an awesome kid!


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