Data Analysts are tasked with taking huge stores of data and working to locate information and trends about past and current practices, as well as offer predictions about what is likely to happen at a company or business based on these numbers. They transform large sets of data into engaging visualizations that are accessible to all members of a team or business. These clear and engaging visual aids can be used to help employers make sound business decisions.
Data Analysts work in a variety of fields, from the healthcare industry to retail to Wall Street.
The need for skilled Data Analysts is currently high and expected to continue to grow as more data is created.
For those who are interested in learning more about the professional opportunities available for Data Analysts, the following article will explore ten of the most popular, well-paying career paths available in 2022.
Top 10 Highest-Paying Data Analytic Jobs in 2022
Those who work with data have many career options in a variety of industries. Many of these job opportunities offer competitive salaries. In the U.S., the current average pay for a Data Analyst is between $63K and $74K. However, this rate varies drastically and is contingent on certain factors, such as experience, education, and industry focus.
The following are ten of the highest-paying jobs currently available for qualified candidates in data analytics:
- Information Security Analysts: Those who handle information security work to safeguard information systems at places such as financial institutions and healthcare organizations against cyberattacks and hackers. Glassdoor ranks this the number-one highest-paying profession of 2022. They make an average salary of $103K. This field has a projected job growth rate of 33%, which will lead to an expected 47,000 new jobs by 2030.
- Data Architect: Those who need to have designs or blueprints of data storage or management systems should turn to a Data Architect for help. Knowledge of the analysis process is essential in order for Data Architects to create effective, sustainable structures. Glassdoor estimates that senior Data Architects make about $171K annually.
- Senior Data Analyst: It is the job of a Senior Data Analyst to collect, organize, and analyze data in order for it to be used to drive business decisions at a company or organization. On average, Senior Data Analysts make about $99K in the United States. Their pay range falls between $87K and $111K, depending on certifications, skill-set, and experience, and education.
- IT Systems Analyst: These Analysts focus on creating, implementing, and evaluating information systems. Companies rely on them for their comprehensive understanding of software and hardware that helps them resolve technical issues. The Bureau of Labor Statistics projects that the demand for IT Systems Analysts will increase 7% over the next ten years. The median pay in this field is approximately $94K annually.
- Data Engineer: Their job entails locating trends as well as anomalies in data. By writing algorithms from scratch, Data Engineers find new ways to manipulate data to extract further insights. This job often requires extensive technical knowledge of data structures and manipulation techniques, as well as coding languages like Python or SQL. The average base salary for a Data Engineer is about $93K, according to Payscale.
- Data Modeler: The job of Data Modelers involves creating data models based on business information. These models are used to improve upon existing data models in order to better engage business users and other stakeholders. The average salary for Data Modelers in 2022 is $117K, according to ZipRecruiter.
- Quantitative Analyst: These Analysts use tools like surveys and polls to help organizations make important financial and business decisions. Their use of objective measurements, as well as their knowledge of finance and business management, make Quantitative Analysts a valuable asset to a company. On average, Qualitative Analysts can expect to earn about $119K annually. Because their profession is currently in high demand, Senior Qualitative Analysts with several years of training make about $129K annually, according to Glassdoor.
- Database Administrator: Also known as Database Manager, a Database Administrator is tasked with monitoring and reviewing database structures and software to guarantee the employer’s needs are being met. Database Administrators must have a commanding knowledge of topics such as warehousing and data storage, as well as programming languages like Java and MySQL. Pay rates for qualified Database Administrators are high; those new to the profession earn $90K a year, and senior Database Administrators make $111K.
- Data Analytics Consultant: Those working as Data Analytics Consultants use datasets and models to gather insights and fix problems. They must possess a range of skills, from knowledge of Excel to data visualization to programming languages such as SQL and R. The average yearly salary for a Data Analytics Consultant, according to Glassdoor, is $100K.
- Data Journalist: News agencies are actively seeking out Data Journalists who are trained in sifting through data, to separate reliable information from “bad” data. Even more, Data Journalists who can process and convey this information simply and directly are currently in high demand. Data Journalists often have a degree in Journalism, but also are proficient in a range of technical skills, such as data visualization and statistics, which help to contextualize data. They also work with programming languages such as Python and SQL. Ziprecruiter estimated the average pay for a Data Journalist to be $107K.
As the above list indicates, there are a variety of high-paying career options for those who have training and experience in the field of data analytics. The Bureau of Labor and Statistics expects the number of Data Analysts to grow by 25% during the decade from 2020 to 2030. During this time, it’s projected that there will be more than 10,000 openings for qualified Data Analysts.
Even though many factors play into the pay rate for Data Analysts, additional education about the rapidly changing data environment is a great first step toward launching the high-paying career of your dreams.
Hands-On Data Analytics Classes
Data Analytics careers are currently in demand across the US, and a great first step toward pursuing them is to enroll in one of Noble Desktop’s data analytics classes. Courses are offered in New York City, as well as in the live online format in topics like Python, Excel, and SQL. In addition, more than 180 live online data analytics courses are also available from top providers. Topics offered include FinTech, Excel for Business, and Tableau, among others.
Courses range from three hours to nine months and cost from $229 to $60,229.
Those who are committed to learning in an intensive educational environment may also consider enrolling in a data analytics or data science bootcamp. These rigorous courses are taught by industry experts and provide timely, small-class instruction. Over 100 bootcamp options are available for beginners, intermediate, and advanced students looking to master skills and topics like data analytics, data visualization, data science, and Python, among others.
Are you searching for a data analytics class near you? If so, Noble’s Data Analytics Classes Near Me tool provides an easy way to locate and browse approximately 400 data analytics classes currently offered in in-person and live online formats. Course lengths vary from three hours to nine months and cost $119-$60,229.