Data analysts help NGOs, corporates, and other organizations to extract valuable insights. They work with a large number of facts and figures daily. These data experts use different strategies to perform data analysis. A few of their strategies are:

  • Programming
  • Detailed learning
  • Mathematics
  • Statistics
  • Data collection
  • And the list goes on.

In modern business, digital technology has become a countersign. Also, data analysts with experience are in high demand now than ever before. There are many vacancies and job opportunities for data analysts in almost every area including:

  • Telecommunication
  • Manufacturing
  • Retail
  • Finance
  • Healthcare
  • Fitness
  • And more.

Data Analyst

 Are you looking to start your career as a data analyst? It is important to figure out what you will need to become a successful data analyst. You must know what the role entails and how it differs from others. 

We can define data analytics as:

“A process of analyzing raw data to draw actionable and meaningful insights. Businesses use these insights to make smart decisions.”

Data analysts answer particular questions and challenges that apply to the business, like:

  • How can the business boost customer retention rates?
  • How can the business improve employee satisfaction?

To answer these questions, data analysts collect and extract data from appropriate resources. Then they organize, sort the dataset, and analyze using suitable techniques. 

Depending on the questions and type of data, data analysts decide the type of analysis they will perform. But they typically look for patterns and trends. Before presenting results to stakeholders, data analysts visualize them in the form of charts and graphs. At last, they make recommendations regarding the upcoming steps of the company. These recommendations reflect what the data tells.

Demand For Data Analysts In 2022

If you want to pursue your career as a data analyst, it is necessary to think in a wider context. The big data market is estimated to be worth $229.4 billion by the end of 2025. Now, isn’t it enough to give you an idea about how big it will be? It tells us that the data market and the need for data analysts is undergoing exponential growth. 

As mentioned in the World  Economic Forum’s report about Jobs Of Tomorrow, AI and Data are one of the seven highest growing professions. These sectors showed a growth rate of 41% per year. According to the current situation, there is a lack of data experts to meet this need. A recent study revealed that employers expect data analytics to be the most challenging area.

These days, almost all successful services, products, and strategies are data-driven. Data is produced everywhere at a rapid pace and in huge volumes. Hence, there is a need for data analysts wherever there is the use of data. 

In short, to answer the question:

In 2022, data analysts are in demand, and this demand is expected to increase in the future. Now that is good news for you if you want to be a data analyst.

Requirements To Become A Data Analyst

Now you know about the role of data analyst and their future demand. You might be curious about the background and experience you may need to become a data analyst. What can it be?

A career in data analysis expects you to bridge the gap between business strategy and data. Therefore, data analysts are convenient to work with facts and figures. They work to bring in some business insights. 

Referring to formal education, data analysts study their field-related subjects, like:

It does not mean you can not become a data analyst if you do not have any of these degrees. Many other fields can lead you to a data analyst career including:

  • Marketing
  • Information Technology
  • Customer services
  • And more.

Data Analyst

List Of Strategies To Become The Best Data Analyst

1. Expertise in Microsoft Excel

Microsoft Excel is one of the greatest and most useful tools for data analysts. One of the most successful and best tools available is Excel Pivot Tables. Data analysts use Microsoft Excel  to:

  • Develop customizable data aggregation.
  • Visualize data.
  • Compute margins.
  • Calculate other basic ratios.

2. Knowledge Of Programming And Querying Languages Like SQL, Oracle, And Python

Python is a useful language that data analysts use for repetitive data analysis. Modules of Python cover everything starting from visualization of data to statistical analysis. It allows users and stakeholders to get an insight into the data and look for trends.

3. Knowledge OF Business Intelligence And Analytics Software Like Tableau, SAS, And RapidMiner 

A data analyst uses Tableau to help stakeholders make measured business decisions. They do so by:

  • Understanding corporate challenges,
  • Gathering data to analyze, and 
  • Offering useful and actional insights.

4.  Analysis, Modeling, Interpretations, and Data Mining Skills

Data analysis is a process used to evaluate and interpret numbers and statistics. In quantitative research studies, it detects the underlying concepts that lead to the conclusion.  

5. Working With Massive And Complicated Datasets

Complex data goes through additional preparation and modeling. It makes the data ready for analysis and display to the stakeholders. Thereby, it is important to understand the current level of complexity of data.

6. Clear Understanding Of Concepts And Processes For Collection Of Data Profiles And Requirements

Data profiling is a method used to examine data. It helps to get a better knowledge about content, intrinsic relations, and structure within the data. It assists data analysts to obtain the best quality of data.

7. Expertise In Data Visualization

Data visualization is a strong online tool. It allows users to extract essential insights that promote the organization’s progress. It also covers many methods and procedures that help to study data. Data analysis aims to make an organization more strong and more informed.

8. Ability To Discuss Results And Offer Suggestions Related To Business

Data analysts derive meaningful insights from raw data. If they are not able to communicate the results, their analysis will become useless. Data analysts must have proficient skills to communicate results. They should also be able to offer business-relevant suggestions to the stakeholders. This may help the company to decide what its future steps should be.

9. Ability To Use Financially-Feasible Statistical Models

Statistical modeling is a technique to integrate statistical study into the dataset. It is a mathematical expression of observable data. Data analysts can easily grasp and analyze the information from data by using different statistical models.

10. Critical Thinking And Good Communication Skills 

Critical thinking is a fundamental step that involves indicative data analysis. It helps to:

  • Observe opportunities for data analysis.
  • Make a list of the goals of data analysis.
  • Set expectations.
  • Identify abnormalities.

11. Possess Analytical Skills

Data analysts need to have strong analytical skills. It is their job to test every part of the business system. They identify the weakness that could harm the quality of the system. As a result, the company may get poor customer responses. Data Analysts should be able to identify the strengths of a business. In this way, the management team can put more effort into it.

12. Must Be Able To Solve Problems

If you are not able to find any possible way out, problem-solving skills help you to find suitable solutions. Using your problem-solving skills, you can meet the needed quality standards. By using logic, creativity, and critical thinking, you can face all the challenges at work.

5 Steps To Become A Data Analyst

Now you have a good understanding of the strategies to become the best data analyst in 2022. If you are further interested in the role, follow these steps. Here we have a list of 5 steps that can help you become a data analyst:

1. Get Familiar With The Basics

You should learn about the different types of analysis used by data analysts. You should practice Excel with some relevant formulas that you may need in this role.

2. Enroll In Data Analyst Training

Choose a data analyst training certification program offering mentorship by experts. Opt for training that helps you to build a portfolio and offers job placement and career counseling.

3. Sharpen Your Soft Skills

To become a  data analyst, ensure that you can demonstrate all the soft skills needed. Soft skills are as important as technical skills. You need to strengthen them to be successful in this role as a data analyst.

4. Start Networking

You can join different groups of data analytics on LinkedIn. Try getting involved in the student’s community. Also, consider attending local meetups to interact with people.

5. Design Your Portfolio And Get Ready For The Job Market

Learn and improve yourself with the help of your mentors and career counselors. They can help you to build your portfolio. You need to start optimizing your online presence and participating in interviews.

Best Data Analyst Training In The United States Of America

Looking for ways to become a successful data analyst? Learning IT can be difficult unless you are passionate about it. You should be ready to polish your skill set timely. An ideal candidate must have the desire to become an expert professional. If you have it all, you can pursue your career in data analytics. 

Although it is not the easiest career you can choose, it is worth the struggle. You can learn analytics by taking different data analyst training. You can also learn how to analyze in an effective way in the working process. 

Wolf Careers Inc. offers Data Analyst Training and other related training for data enthusiasts. You can enroll in these training certifications even if you do not have any related experience or education. There is still a chance for you to start your career as a data analyst. Apply today and let your journey begin.

Data Analyst Training

Our experts at Wolf Careers Inc. have crafted this course to meet the market needs. Do you want to build your career in a tech domain that does not need coding? If yes, then data analyst training is just the right choice for you. This training certification covers the technologies used in data analysis, such as:

In addition to the theoretical sessions, there are hands-on exercises and real-time projects. These add-ons help you to apply your concepts and test your learnings.

The other related courses offered by Wolf Careers Inc. are:

  • Tableau Training
  • Power BI Training
  • Power BI, SSIS & SSRS Training
  • And more.

Enroll today in any of the above courses and get a step closer to becoming a successful data analyst.