Data science has permeated every facet of our lives. And from an organizational aspect, critical thinking and statistical skills are essential for businesses to succeed.

While statistics skills may paint for you a challenging picture, it is pretty simple. And this definition also helps answer the question, "what is the purpose of data analysis?"

Data analysis refers to analyzing, cleaning, and transforming data to discover helpful information and make informed conclusions.

As a result, data analysts are expected to have high technical abilities to analyze complex statistics, databases, and reports.

Keep reading as we discuss more, including some data analyst responsibilities:

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Why Should You Study Data Analysis

Understanding how statistics can be used every day can enhance the way you live. And apart from improving your CV, it can be beneficial in daily life.

And besides its formative properties, it provides the basis for several fitness, health, and lifestyle applications.

For example, statistics have been used in metros and train services to collect passenger information in daily commutes.

These examples are enough to highlight our dependency on the collection and analysis of the information about ourselves.

Two people analyzing the statistics of their business
Many people think about becoming a data analyst, but only a few can do so. Data analysts require a specific skill set of responsibilities. For example, data analysts must possess good presentation skills that can be improved over time (Source: Unsplash)

Advantages Of Becoming A Data Analyst

Performance analytics shown through speed curves on a computer screen
Ever found yourself wondering, "why become a data analyst?" Well, the average salary of a data engineer or a data analyst is over $100,000 per year at entry-level positions. Yet, with constant dedication, the growth opportunities in data-driven fields are exceptional (Source: Unsplash)

Data analysis has become extremely popular today. Consequently, there are several advantages of becoming a data analyst. A few of them are listed below.

Provides Freedom To Work

Try asking a data analysis about the favorite part of their job. Of course, the first thing every data analyst would tell you is the freedom to work.

This is because they are not limited to working with one specific industry. Every type of business requires assessing and analyzing information to drive conclusions.

Moreover, the best thing about becoming a data scientist is that you get to work with technology. This means you can become a part of anything that has the potential to grow.

Therefore, you can work on projects the way you want. But, more essentially, you are transforming the lives of thousands of people around you.

Provides Good Pay

Data scientists can earn a fortune if they are good at their job. Since the possibilities of growth are very high, data analysis offers high salaries.

The average salary of a data scientist is around $120,000 in the United States.

Moreover, most data science graduates in the United States have easily been able to find jobs with an average salary of around $100,000 to $114,000.

As a result, data science jobs have been included in the world's top 25 best job types.

Provides A Chance To Work With Huge Brands

Since a data scientist is needed in every business, data scientists have a great chance of being employed by huge brands like:

  • Amazon
  • Google
  • Uber
  • Apple

For example, Amazon uses data science to sell product recommendations to its customers. Thus, Amazon's data comes from its massive customer base.

Moreover, Apple also uses data science to make informed decisions for its products.

A Safe Option

Data Science is considered to be a safe industry to work in. However, since new technologies come and go, people have started believing that nothing can last long in the tech world.

As a result, the field of data science is growing and will continue to grow. Data scientists with the right skills and mindset can earn a pretty penny.

Very Popular In The Tech World

Data science jobs are in demand. Whether it's project management or security, data scientists can choose any path to work in.

Furthermore, the growth rate for data scientists is more than 100%.

Provides An Opportunity To Build Business

A data science job will help you network with influential people in the corporate/research world. This will give you the tools to solve real-world business problems and establish your own business.

If you dream of building your own business before retiring, your experience, contacts, and knowledge as a data science professional can serve as your foundations.

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Skills Required To Become a Data Analyst

Two co-workers analyzing their business performance on a whiteboard
People often wonder, "what is the purpose of data analysis?" Yet, data analysts are required in every industry to provide clear and concise information. Additionally, data analysts gather, clean, and asses information to produce informed conclusions (Source: Unsplash)

Most companies constantly need talented individuals to provide a clear insight into the ever-changing scope of information.

And since we have continued to digitize the world we live in today, the demand for data analysts is growing.

So if you have just started your journey in the research world, read on and educate yourself:

Critical Analysis

When you use data to find answers to your questions, you discover what questions should be asked. However, doing this can be pretty challenging.

To succeed in your career as a data analyst, you should start thinking like one. Data analysts unfold, connect, and synthesize data that is not very clear.

While these abilities naturally exist in a person, you can still follow some tips to improve your critical thinking skills.

For example, you can ask yourself a few questions about the issue you are researching to help you arrive at solutions faster.

It will prevent you from being distracted from the topic. Furthermore, you must depend on yourself instead of on the information that already exists.

Lastly, this is a trait that you may develop subconsciously as you go through university.

Machine Learning

In the field of data science, artificial intelligence has become very popular. As a result, machine learning has been recognized as a critical element in a data analyst's skill set.

Although every data analyst doesn't have to possess machine learning skills, learning a few of the concepts can be very helpful to move ahead in the field.

Machine learning skills can help develop efficient algorithms for the real-time processing of data. This will eventually produce more accurate results.

Moreover, machine learning provides more profound, comprehensive, and faster insights into the information that operates without human bias and time limitations.

Alongside that, it also helps understand the data with a more holistic approach.

Structured Query Language

SQL or structured Query Language is one of the essential languages for data analysts to know. It is known to handle large datasets.

Whether it is to store the data, manage it, or change the structure of those databases, the majority of the companies need talented individuals who are experts in Structured Query Language.

Millions of companies offer jobs requiring SQL skills each year, and the average salary of SQL workers is above $50,000.

So if you are a data analyst and want something to help you handle more extensive data, SQL can be beneficial.

Data Visualization

While you might be a great data analyst and successfully get your point across, lacking the ability to tell a compelling story will drive your audience away.

Data visualization gives a visual context to the data you present, making it more appealing and easy to understand.

This way, the data becomes more natural for the human brain to understand and comprehend.

This is especially helpful with large data sets where graphs and maps can make understanding the information more accessible.

However, if your audience cannot easily understand your findings, you will fail to get your message across, no matter how hard you try.

Data analysts use creative, eye-catching, and high-quality charts and graphs to showcase their findings in a concise and presentable way.

Data Presentation

Visual data and presentation skills work together to produce excellent, data-driven results. Unfortunately, presentation skills are something that people do not possess naturally.

They go hand-in-hand with experience. Therefore, the best way to improve your presentation skills is by practicing; practice till you perfect it.

Additionally, thinking about your audience rather than yourself can be a very comfortable way to practice.

Your presentation skills matter because the more practical, meaningful, and memorable they are, the more your audience will relate to your message.

What Are The Job Opportunities For A Data Analyst

The job landscape for data analysts is promising and rewarding, with multiple opportunities popping up every day.

And once you become a successful analyst, you can work remotely and start your own business.

And even if you don't start your own business, know that most data scientists get high pays at entry-level positions. As a result, the demand for data analytics professionals is increasing every day.

This means that companies are willing to pay as much as it takes to hire professional data analysts to fill job vacancies.

Furthermore, the job opportunities for data analysts go beyond just technology. So without further ado, here is a list of job opportunities where a data scientist can fit perfectly:

Data Engineer

If you are good at working with massive clusters of information, a data engineer job can be perfect for you.

Data engineers focus on the process of capturing data and making it more efficient. They may also improve the data infrastructure for faster deliveries.

Business Analyst

Business analysts discover patterns and values in the companies they work in. Moreover, they are expected to be comfortable working with:

  • SQL
  • Data visualization
  • Machine learning

As a result, possessing strong communication skills is imperative for this position.

Operations Analyst

Larger companies usually require operational analysts to work with more extensive data and statistics.

They focus on the operations of a business that holds personal data and the internal process of a company—for example, product manufacturing and distribution data, general business operations, etc.

In addition, operational analysts need to possess a technical understanding of the systems they work with.

Individuals occupying this position can be found in every organization, from military to postal service providers and substantial grocery chains.

Studying Data Science

Those with robust data analysis and critical thinking skills often contemplate pursuing a career in data science, but questions like "Why become a data analyst" or "What will be my data analyst responsibilities" often blow them off guard.

If you love playing with data and statistics, this data analysis guide will tell you everything you need to know before pursuing a career in data science.

However, if you need one-on-one help, you may have to hire a private tutor. They can help you understand how to deal with complex data without misplacing it.

Get in touch with Superprof today and find yourself a private tutor in your area. Who knows, they may even offer you a free first lesson and help with allocating learning resources.

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