The demand for data analysts is high. And according to the US Bureau of Labor Statistics, a growth of 20% in data analyst jobs between 2018 to 2028.

However, those who can do justice to this profession are limited.

The World Economic Forum has predicted that by 2022, 85% of companies will have implemented analytics technologies and big data, resulting in data analysts' "new role" to be one of the most in-demand jobs by 2022.

It is pretty evident that if you choose to be a data analyst, your career is sorted. Therefore, choosing this career path is fruitful and certainly pays well too.

Keep in mind that the average salary of a data analyst is $60,000 at entry-level, but this designation comes with a lot of responsibility.

Read on as we delve into what these are:

Engagement data for a post
If you find yourself wondering, "what is the purpose of data analysis," the answer is simple: you get to know all about posting; the reach, impressions, and so on. All the data is collected in one place (Source: Unsplash)
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What is Data Analytics

"What does a data analyst do?", to help answer this question, let's talk about what data analytics is and what its purpose is.

In simple words, data analytics is the process of analyzing datasets to:

  • Find trends
  • Draw conclusions
  • Answer queries

There are many techniques with different objectives. Additionally, these techniques let you take raw data and discover patterns to extract valuable insights from it.

The data analytics process carries some components that come in handy with a variation of initiatives.

And combining these components provides a triumphant view of chronologically administered information.

Moreover, this further provides a clear picture of today, yesterday, and tomorrow; where you stand at the moment, where you were, and from here where you should go.

Relevance Of Data Analytics

Data analytics matter and the two primary reasons for that are:

  • It is evidence-based
  • It is essential and handy for decision-making

When you combine these two points with data analytics, it automatically becomes a vital tool.

Everyone wants proof for the information they are getting – a reliable source is always asked for when data is passed forward, and data analytics help attain that.

As a result, information is verified; it is not an opinion or a random thought. Instead, it is proven.

And although it isn't consistently accurate, data analytics is the ideal tool to get the most reliable material.

It predicts future trends and considers past experience before concluding.

Essential Skills That Data Analysts Require

Influential data analysts hold a combination of two skills: leadership and technical. These are vital, and there is no getting into the field if you do not have both.

Leadership Skills

Although most professional fields require this, it is a crucial skill to have for data analysts. Hence, leadership abilities prepare you to complete problem-solving and decision-making tasks.

These capabilities help analysts think and function strategically. It aids them in cataloging information that will assist stakeholders in making data-driven business decisions

And lastly, it helps them communicate the importance of the data effectively.

Technical Skills

A data analyst needs to have technical skills, including knowledge of database languages such as R, Python, or SQL.

They must also know how to work with data visualization software such as Qlik and spreadsheet tools like Google Sheets or Microsoft Excel.

In addition, statistical and mathematical skills help with gathering, organizing, evaluating, and organizing data.

Other skills required include:

  • Communication
  • Public speaking
  • Research
  • Problem-solving
  • Attention to detail
  • Data warehousing
  • Machine learning
  • Statistical programming languages
  • Data visualization
  • Data prep
  • Project management
  • Strong business insight
  • Math and statistical skills
The movements explain segments of data
What does a data analyst do? They collect information that helps businesses plan and grow from a marketing, HR, administration, and operations aspect. Moreover, they are also responsible for treating, sifting, and analyzing their findings (Source: Unsplash)

Job Description For Data Analysts

Data analysts dictate the way a company analyses and obtains data. Furthermore, they use the information to improve the efficiency and quality of data systems.

And the usual job requirements for a data analyst include:

  • Evaluating results
  • Finding patterns and developments in data sets
  • Interpreting and collecting information
  • Outlining new data collection and analysis processes
  • Updating the relevant members of the organization
  • Working as a leader; establish business needs working alongside a team
  • Strong communication
  • Have all the right skills
  • Writing is part of the job
  • Creativity is required

Responsibilities Of A Data Analyst

Job responsibilities differ from job descriptions in that they usually refer to the over-arching goals of your contractual work involvements. These are also often judged in annual or appraisal meetings.

However, most data analysts are primarily tasked to be vigilant and apprehend any technical issues of data collection, reporting, and analysis.

Another duty of data analysts is to grasp all the business-related questions and decide the fate of most long-term possibilities.

Additionally, they must also be mindful of patterns and trends so they can provide reports analyzed by statistical techniques.

But that's not all; here are some more data analyst responsibilities:

  • Filtering and cleaning data
  • Collaborating with management to identify and prioritize business and information requirements
  • Identifying, analyzing, and interpreting anomalies in complicated data sets
  • Acquiring data from primary and secondary sources and maintaining data systems
  • Detecting and outlining new opportunities for process improvement
A data analyst keeping an eye on engagement numbers
Are people asking you, "what is the purpose of data analysis," tell them this: you get information based on facts that give you a better insight into a business. Hence you become a significant decision-maker in any organization (Source: Unsplash)
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Types Of Data Analysts

Data analysis is broken up into several practical subdivisions. This is because knowing how to gather, process, and analyze data has become a critical element of nearly any industry.

The ever-advancing technology has extended the types and amount of data we can collect. As a result, data analysts can be found in various fields, including criminal justice, fashion, cuisine, technology, business, the environment, and government.

Some of The different categories that data analysts fall under are:

  • Intelligence analyst
  • Business analyst
  • Medical and healthcare analyst
  • Operations research analyst
  • Marketing research analyst

Tools Used By Data Analysts

With all that we've spoken about analysts collecting data, we should also shed some light on the tools they use for the job.

These tools are utilized to extract information from data outlets – new sites, magazines, social media, and so on.

Additionally, they are used to sort and categorize data and illustrate it for accounts and demonstrations.

Some of the most common tools used by data analysts include:

  • SQL
  • Google Tag Manager
  • Google Analytics
  • Google Adwords
  • Tableau
  • Microsoft Excel
  • SAS software

Salary Package For Data Analysts

When it comes to yearly income, data analysts do quite well. Even an entry-level analyst's take-home is better than most other professions.

But, of course, as you improve your CV, gain experience, and amass a portfolio of credible and successful projects, your salary improves substantially.

The average base pay according to Glassdoor in the US is:

  • Junior analyst's beginning salary is $51,349
  • Data analyst gets $62,453
  • The pay wage for a Senior data analyst is $78,204
  • Analytics managers earn $96,119
  • The director of analytics takes home $101,727
  • Chief data officer (CDO) get $202,843
  • Data scientists receive $113,309
  • Business analyst's income is $68,346
  • Financial analyst's pay is $61,971
  • Operations analysts get a $54,250 wage
  • Marketing analysts make $54,155
  • Systems analyst's gross pay is $64,616
  • Healthcare analyst's income is $65,521
  • Data analyst consultants get $96,616

The Route To Becoming A Data Analyst

Having the right skills (as mentioned above) is the key to becoming a data analyst, and there are ways to acquire that expertise:

Bachelor's Degree

The Bureau of Labor Statistics recommends getting a bachelor's degree to secure jobs related to data analysis.

Your degree focus should be on computer science, statistic, or mathematic. This can give you a good head start with potential recruiters.

Furthermore, some online bachelor's degrees also provide you with flexible scheduling, making it easier for you to get a degree while you juggle your other priorities simultaneously.

Professional Certificate

You can enroll in entry-level professional certificate courses. And the great thing about these is that most of them don't require prior experience in the field.

You can choose to get certificates in basic skills such as statistics or SQL. Moreover, these programs also allow you to build projects for your portfolio and receive real-time feedback on your work.

Self-Study

If, for any reason, you do not want to go down the formal training path, then you can always take the matter into your own hands and learn the essential data analysis skills on your own.

Several platforms also offer free or paid learning resources/services. And a quick search for a data analysis guide on Google may be all you have to do!

Time Required to Become a Data Analyst

The time needed to become a data analyst depends on your level of skills, and the job follows. So before asking this question, consider this:

  • What knowledge do you already have?
  • Your strategy for learning new skills
  • What type of data analyst do you plan to become?

Data science may not be everyone's cup of tea, but if your interest lies here, you can quickly pick up on the learning process.

And despite knowing all of this, it is not a long journey. However, you can learn the skills required for an entry-level role as a data analyst in about 64 credit hours, depending on your interest and learning capacity.

At the same time, you can earn Google Data Analytics Profession Certificate within six months or even less.

Learn Data Analysis With The Help Of An Expert

There are professional experts on Superprof that can help you become a successful data analyst. In addition, there are countless options to choose from within your vicinity.

You may be one step close to getting that dream job or university acceptance and the only thing holding you back is you. So get on Superprof and find a tutor to help you expand your data skillset.

Get the career that you have always wanted! Or, even if you want to learn to only add to your skill, give the professionals at Superprof a shot, and you might just end up falling in love with data analytics.

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