[Infographic] Top 7 Skills Required for Data Analyst

Most companies understand the value of data-driven business strategy, and that’s why they often look for talented individuals for data analyst roles. Today, a data analyst is one of the most demanding jobs of the 21st century.

In India, the average salary is ₹852,516 for an experienced data analyst; however, an entry-level data analyst can expect to earn ₹325,616. The average age requirement to become a data analyst is 30+ years. Learn more about data analyst salary. in India

Roles and Responsibilities of a Data Analyst

  • Understand, extract, and finally analyse necessary information from the provided raw data.
  • Try to identify patterns, potentials, and new growth factors.
  • Must have problem-solving abilities.
  • Should be familiar with automation tools and streamline manual tasks.
  • Communicate to the management often.

Here are the required top skills for a data analyst

1. Structured Query Language (SQL) 

The most ubiquitous industry-standard database language is Structured Query Language or SQL. It is one of the essential data analyst skills. Through SQL, a data analyst manages and stores large datasets.

2. R or Python Programming

To manage the data, the data analyst needs to master one of the programming languages. Anything Excel can do, with the use of R or Python, will be done faster. R and Python are open-source and provide a data analyst with the structure for data analytics.

3. Machine Learning

Machine learning is known to be the critical component of a data analyst’s toolkit. Both AI and ML are said to be the pillars of predictive analysis for modern systems.

4. Data Visualization

Data visualisation skill helps to interpret and understand data. One needs to tell a compelling story through the available data to put across their points. 

5. Microsoft Excel

The mainstay of a data analyst is still going to be Microsoft Excel. It will let you communicate things and represent data.

6. Critical Thinking

A data analyst has to synthesise and uncover connections in the data that are not always clear.

7. Data Presentation

Both data presentation and visualisation go hand-in-hand. A data analyst will be required to establish business goals and objectives.

What Next?

If you are curious about learning data science to be in front of fast-paced technological advancements, check out upGrad & IIIT-B’s PG Diploma in Data Science.

Prepare for a Career of the Future


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