How To Build A Career In Data Analysis And Become Successful

Would you like to learn how to build a career in Data Analysis and become successful?

I am sure you would like to build a career in data analysis and not just that, but you would want it to be a successful one.

As technology continues to evolve, the need for data analyst will keep increasing.

This career role is one of the most valuable careers in the IT world because of its value, many want to build a career in data analysis and become successful. I know you too will like to build a career in data analysis. This guide will show all you need to build a sacksful career in data analysis.

What is data analysis?

Before we delve into how to build a career in Data Analysis and become successful, what exactly is Data?

Data analysis is an aspect of data science that deals with the cleaning, transforming, and modelling of data to extract valuable useful information for business decision-making. The purpose of Data Analysis is to extract information from data and design models for business decisions.

Who is a data analyst?

A data analyst is anyone who extract information from data, process it and design models that will be used for several business decisions. A data analyst process data like a company’s performance, product and customers. The information provided by data analyst helps the companies make decisions like the kind of product customers need, the marketing strategy to use, and improvement to be made on the products.

What do data analyst do?

You may ask what do data analyst do, well I will tell you!

There is a broad career prospect for a data analyst. You can find them in many career areas. This is because a lot of business are demanding their service more. Some of the job titles that require data analysis skill include;

Business Intelligence Analyst

Data analyst

Data scientist

Data engineer

Quantitative analyst

Data analytic consultant

Operations analyst

Marketing analyst

Project manager and more.

How To Build A Career In Data Analysis And Become Successful

Here are some ways of how to build Career in Data Analysis and become successful:

You need to take to have a successful career in data analysis. These steps are;

Enroll for data analysis course

This is the most important thing you need to know to build a career in data analysis. You need to enroll for a data analysis course to learn the mathematical, statistic and other basic theories in data analysis.

You can also look for online courses to get trained in data analysis. Some websites like Udemy, YouTube, Coursera, Bizmarrow.com, Lynda.com and many more offer courses and useful resources to help your progress.

Acquire data analysis skill

Though you may be trained in data analysis, you will need some skills to become a successful data analyst. You need to take a special course on each of the skills. You can also search online for resources that will help you develop those skills. The skills you need as a data analyst are written below.

Get started with an entry job

Once you are fully trained in data analyst, you can start applying for a data analyst job. You can start first by applying for entry jobs in tech companies. You can make use of good job sites like inded.com, and glassdoor.com to apply for a job.

Improve on your skill

Once you have successfully gotten a job, try and improve on your data science skill. Technology is dynamic, it changes all time. The same thing applies to data analysis; new trends and techniques are released from time to time. If you did not learn the new techniques, you might be considered outdated in the data science world. This a the ways to build a career in Data Analysis and be successful.

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What Are The Skills Required To Become A Data Analyst?

Since you have a knowledge of how to build a career in Data Analysis and become successful. Let discuss the skills required to become a data Analyst.

There are some essential skills you must have to be a skilled data analyst. The skills include:

Data collection and Manipulation skill

As a data analyst, you should be able to use languages like R, HIVE, SQL, and more to building queries to extract the desired data needed for data analysis. After analyzing the data, you should be able to create reports using standard tools like SAS, Oracle Visual Analyzer, Microsoft Power BI, Cognos, Tableau, and more.

Microsoft Excel

Data analysis involves the collection and organization of data; it also involves some calculation. You will need to know how to use excel to organize data and do calculations. You can get online sources online to know how you can use excel effectively.

Programming skills

This is one of the most important skills you need to have as a data analyst. As a data analyst, you should very skilled in at least one programming language. However, the more languages you are good at the better for your career. The programming languages you can use for data analysis include R, Python, C++, Java, MATLAB, PHP, and many more.

Communication Skills

A data analyst job needs to have good communication skills since he will be providing information to decision-makers. Hence, you need a deep understanding of the data and how you will communicate them to the decision-makers. Excellent communication skills are very important when communicating with clients and company stakeholders.

Mathematics and statistics

Data analysis involves a lot of statistics and mathematics. To be a data analyst, you need to know statistics and have a good grasp of mathematics. This will help you when you are solving business problems that need formulae. In addition to this, you should be comfortable in using tables, charts graphs and more.

Conclusion

Since have shown you how to to build a career in Data Analysis and become successful.

It is paramount to know that building a career in data analysis requires hard work and dedication. You may face a lot of challenges as you climb the success ladder. However, if you follow the tips in this article diligently, you will surely build a successful career in data analysis.

Now that we have set for you the road map of how to build a career in Data Analysis and become successful, what are you waiting for?

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