How to Become a Data Analyst

By Jennifer Verta, Monster Contributor

With a projected 36% growth over the next decade for this profession, we’re not surprised you want to know how to become a data analyst. Data is everywhere and it has changed forever how organizations work and make decisions. Having someone that can filter the noise and make sense of data is no longer optional.

Data analysts provide a range of insights from understanding what customers want, to what tools aren’t working for your business objectives, and where resources are being optimized or wasted. In this job, you could be the difference between a struggling company and a successful one.

What Is a Data Analyst?

Data analysts are professionals who are specialized in turning raw data into useful information. They are essential in allowing companies to understand and predict industry trends and take more conscious business decisions to grow and better serve their customers’ needs.

What Does a Data Analyst Do?

A crucial part of learning how to become a data analyst is also understanding what exactly you’ll do in this role. Tasks almost every data analyst will perform daily include:

  • collecting data with automated tools
  • cleaning data by removing errors or fixing coding issues
  • keeping databases and data systems organized
  • running statistical tools to detect, examine and interpret tendencies in data
  • drawing conclusions and elaborating predictions based on the data findings
  • collaborating with multi-disciplinary teams of engineers, it specialists, and managers
  • preparing reports on analysis findings to present trends and patterns to decision-makers

How to Become a Data Analyst

Data analysis is a high-demand and relatively new field that you can enter via different paths, with or without a degree. In this section, we show you how to become a data analyst with no experience or any kind of background.

The data analyst requirements can differ from company to company. Obtaining a bachelor’s degree in a field like statistics, mathematics, computer science, business, or engineering certainly makes your data analyst career path move faster since it provides you with strong foundations that are attractive to employers. Keep in mind that many universities also offer 100% online data science degrees, so study paths can accommodate most lifestyles.

An alternative to acquiring education in the field is to complete an online professional certificate course like the IBM Data Analyst Professional Certificate or the Google Data Analytics Professional Certificate. You can use the work you do in these courses to start building your portfolio with mockup projects or a dedicated blog. As a data analyst you’ll have to master:

  • math and statistics knowledge
  • proficiency in database design development, data mining, and segmentation
  • database tools like Microsoft Excel and SQL
  • programming languages like Python or R
  • data processing platforms such as Hadoop and Apache Spark
  • data visualization programs like Tableau and Jupyter Notebook

You’ll also need to work on your problem-solving, critical-thinking, effective communication, and teamwork skills as well as ensure you present an inquisitive attitude.

How Much Does a Data Analyst Make?

In this guide on how to become a data analyst, we must mention what your earnings could look like in this profession. The median salary of a data analyst is estimated at $75,765 per year. Don’t get stuck of this figure, though. Your wage also depends on your specific education, sector, experience, and location.

For instance, the industries in which you can earn the most as a data analyst are:

  • computer and peripheral equipment manufacturing
  • semiconductor and other electronic component manufacturing
  • other information services
  • data processing, hosting, and related services
  • accounting, tax preparation, bookkeeping, and payroll services

Looking at the location factor, we find the highest salaries in:

What about your city? Head to Monster's Salary Calculator, input your city and data analyst as the job title to find out the average pay plus other useful information to help you progress in your career. For example, did you know that a potential next step in this field is becoming a business intelligence analyst?

How to Find Data Analyst Jobs

Let’s now dive in on how to get recruiters’ attention for your resume. Luckily writing a powerful data analyst resume is easier than you think.

As a data analyst, you understand how important it is for recruiters to be able to collect and identify information fast. Many of them even use applicant tracking systems (ATS) to speed up this process. That’s why writing a resume that can be easily read both by humans and machines is crucial. Therefore, keep your resume tidy and clear. Use spacing wisely, paragraphs, and bullet points, and highlight industry keywords in bold text.

Always pair your resume with an appropriate cover letter that is specifically targeted to the company and the role you’re applying for. Not sure what to include? Add details about your past achievements and how your skills can help bring success to your prospective company.

Where Does a Data Analyst Work?

In the digital economy, data is collected everywhere, every second. It has become a crucial factor driving company decision-making. That’s why data analysts are increasingly required in every industry - business, finance, healthcare, operations, entertainment, you name it.

Wondering which industries offer the highest levels of employment for data analysts? Look into:

  • computer systems design
  • management of companies and enterprises
  • management, scientific, and technical consulting services
  • scientific research and development services
  • credit intermediation and related activities

If you’re interested in moving to a state with the highest level of employment for data analysts, consider the following:

As far as U.S. metro areas go, data analyst jobs are the most abundant in:

Filter out the Noise and Find the Best Job for You on Monster

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