data analyst education requirements

Data analysis is one of the most sought-after professions in the world. Every industry requires a skilled data analyst. A diverse mix of companies: from banking, pharmaceutical organizations, to manufacturing and telecommunications companies, all are always in search of data analysts. 

In this article, we’ll take you through data analyst education requirements so that you can also take cues from it and get hired by top companies as a data analyst. 

Let’s get started.

Who is a Data Analyst?

If you are someone who loves problem-solving, has a knack for mathematics, and is fuelled by curiosity to analyse data to reap profits for your organization, this career of data analyst can be your calling.

Why do I say that?

Because, as a data analyst, you will help companies in optimizing their strategies by collecting data and fetching insights from it. You’ll be processing a variety of data catering to customers, products, and the performance of the company to help in real-time decision making. As you dig deep into the process of scrutinizing information, you’ll also use data analysis tools. 

Apart from this you’ll also be removing corrupt data, performing analysis to assess the quality and then determine the meaning of data, and also prepare reports based on analysis for the company’s top-level management.

What are the Education Requirements of a Data Analyst?

To become a data analyst, you need a combination of technical and soft skills. In terms of technical skills as a data analyst, you should have complete knowledge in at least one of the programming languages. The more languages you know, the better. Some of the popular programming languages used by data analysts are Python, R, SQL, Java, PHP, etc. You also need to acquaint yourself with the fundamentals of data analysis and its tools. As discussed above, to be a data analyst, you should be comfortable with mathematics, statistics, and also know how to use charts, tables, and graphs.

Once you have attained a fine understanding of these, you need to gain hands-on experience with project handling, statistical programming, data cleaning, and data visualization. In addition to these core technical skills, you also need the ability to analyse and interpret data, an ability to plan work meticulously and meet deadlines. Because you’ll be connecting with multiple teams, you should also have sound interpersonal skills, oral and written communication and the ability to work with a team.

In a nutshell, data analysts are good at working with numbers and analysing details. So if you are looking forward to becoming a data analyst, start NOW!

What are the Different Job Roles for a Data Analyst?

Adept data analysts are in demand in almost every sector. It is considered to be one of the most popular careers, so you should learn data science as early as you can in your career. 

There is a large variety of data analysts jobs you can get as you strengthen your data handling skills. Listed here are some of the job roles you can take as you become a data analyst:

  • Sales Analysts

Being a sales analyst, you will focus on analyzing the organization’s sales activities regularly. This will include analysing the volume of sales along with the overall sales pipeline. 

  • Marketing Analysts

Their key area of focus is towards the different marketing channels that exist in the organization to find key strengths and weaknesses.

  • Product Analysts

Their job involves around a specific product and determining the aspects of the product that are expected from the company which also includes suggesting the product pricing.

  • Business Analysts

They work with their organisations to improve their processes and systems by conducting research and analysis to address business problems.

  • Budget Analysts

A budget analyst reviews the organization’s budget and looks for new ways to increase profits and improve efficiency. They are the ones who allocate funds among different departments.

  • Corporate Strategy Analysts

They analyze the organization’s broader corporate strategy to make recommendations for guiding key decisions. They are also involved in mergers and acquisitions.

And the list continues…

Summing Up

As per McKinsey’s report, the US has 1.5 million managers and analysts who leverage the power of data analysis to drive decision-making. The average salary of a Data Analyst in the US is USD 72,314, with the average Senior Data Analyst salary having an average of USD 94,890. (Source: Indeed; as on April’21)

By enhancing your data analyst skills, you can be well-positioned to be the part of an industry that sees continuous growth in this domain. Now, if you’re wondering that you do not have any prior knowledge of the concepts required to enter into this promising field, your first step should be acquiring the right skill. To help you in establishing a successful career as a data analyst, McCombs School of Business at The University of Texas at Austin in collaboration with Great Learning offers The Post Graduate Program in Data Science & Business Analytics.

This comprehensive program’s curriculum is designed keeping in mind the current industry trends. From online video content by Texas McCombs faculty, to live expert sessions with industry leaders, assignments and hands-on projects, you get to explore the entire gamut of Data Science through this program. 

To get more information, take 2 minutes of yours to fill this form.

The other top data science program is Data Science and Machine Learning: Making Data-Driven Decisions, a 10-week program by MIT IDSS that will help you master skills in Data Science and Machine Learning with recorded lectures from MIT faculty, hands-on projects, and mentorship from industry practitioners. Click here to download the program brochure.

Let us know how you found this article and if you want to read about any specific area in the field of data science.

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