OVERVIE
What is a QA Analyst?
Although quality assurance applies to a wide range of industries, a QA analyst in this context works specifically on testing IT systems such as software, applications, telecommunications, and even games. Their job is to thoroughly test programs to ensure they’re working correctly and are fully functional before being released.
This involves parsing through thousands of lines of code to check that it is 100% correct. The quality assurance analyst's ultimate goal is to spot any flaws or defects that could compromise performance or hurt user experience. As they unearth information, a quality assurance analyst makes suggestions to developers on how to improve the program and provide a better user experience. That way, the end product runs optimally and is free of errors.
A bachelor’s degree in a technological field is usually required for most entry-level positions. For more advanced positions, however, you’ll often need a master’s degree. It’s also helpful to have at least some level of experience in quality control, as this should give you an edge over other candidates.
RESPONSIBILITIES
What Does a QA Analyst Do?
Here are the core day-to-day quality analyst job responsibilities:
- Design and develop software testing plansfor programs from conception to completion.
- Test the functionality and performance of programs,based on the software testing plans.
- Identify flaws, bugs, and glitchesin the programs.
- Resolve any issues that are foundand determining how to prevent them from happening again.
- Look for potential areas of improvementto continually refine programs and provide an optimal user experience.
These tasks require a great deal of diligence and are instrumental in turning out high-quality programs that operate as they should.
Where Do QA Analysts Work?
IT systems have become mainstream in recent years, and countless companies now use software, applications, and so on. Therefore, quality analyst jobs can pop up in a wide range of industries.
That said, here are five industries that have an especially high need of these professionals:
- Software development companies,where a QA analyst handles platform testing and works out the kinks before the systems and applications are released to the public.
- Computer systems design companies,where they help refine the quality of systems and achieve optimal performance.
- Social media platforms,where they are involved with the endlessly iterative process of fine-tuning platforms.
- Game development companies,where they look for defects and bugs that could hinder game performance.
- Data analyticsproviders,where they’re involved with the software development process to ensure platforms generate accurate, reliable reporting.
As IT becomes increasingly ingrained in the operations of more and more companies, this list should continue to grow.
EDUCATION & BEST DEGREES
What Education Does a QA Analyst Need?
A bachelor’s degree is usually required for entry-level quality analyst jobs. One particular degree that’s ideal for this career is aBachelor of Science in Data Analytics. This degree focuses primarily on turning raw data into usable information, but also covers several other key topics that are useful for becoming a QA analyst, such as:
- IT leadership
- Data systems administration
- Advanced data management
- Data analysis
- Scripting and programming
Or, if you’re interested in a more advanced QA career and education, adegree could be the perfect fit. This degree is built around the theory and application of data analytics; you use innovative technology to learn about the following topics:
- Modern analytics tools
- Advanced data analytics
- Exploratory data analysis
- Data cleaning
- Representation and reporting
Note that because of the ever-changing nature of IT and computer sciences, ongoing education to stay up to date on the newest technologies is extremely important.
What Degrees are Best for a QA Analyst?
Technology
Data Analytics – B.S.
Pair analytics expertise with AI innovation and drive measurable value...
Pair analytics expertise with AI innovation and drive measurable value with data insights.
- Time:62% of graduates finish within 36 months.
- Tuition and fees:$3925 per 6-month term.
- Courses:39 total courses in this program.
Certifications in this program at no additional cost include:
- AWS Cloud Practitioner
- CompTIA Data+
- CompTIA Project+
- Udacity Nanodegree—a unique, highly recognized credential designed to prepare you for a career in data science
- MSI Change Management (Optional Certification)
- Certiprof Design Thinking Professional Certificate (Optional Certification)
Skills for your résumé that you will learn in this program:
- Data management
- Data wrangling
- Statistical analysis
- Visualization
- Leadership and management
- Model deployment & storytelling
Technology
Data Analytics – M.S.
Lead businesses with advanced data analytics and AI-relevant skills:...
Lead businesses with advanced data analytics and AI-relevant skills:
- Time:61% of graduates finish within 20 months.
- Tuition:$4425 per 6-month term.
- Courses:11 total courses in this program.
This program consists of three specialization areas which allow you to gain specific experience and skills that will benefit your future career. You can choose from data science, data engineering, and decision process engineering specializations to enhance your degree.
Skills for your résumé that you will learn in this program:
- Data Modeling
- Big Data
- Business Intelligence
- Data Quality
- SQL
- Python
Technology
Java Developer Certificate
Build practical Java skills and a strong foundation for development roles...
Build practical Java skills and a strong foundation for development roles through hands-on learning.
- Time: 3 months from start to finish.
- Cost:$499 for the certificate.
- Courses:3 courses total in this program.
This certificate is designed to help individuals who want to pursue web development gain important skills and experience, boosting their résumé right away.This program is an important step for your career.
Build your foundational skills in back end web development with a focus on SQL queries, user interface, database management, Java fundamentals and frameworks, and more.
How Much Does a QA Analyst Make?
$98,777
According to (as of August 1, 2025), the average annual salary for a QA Analyst in the U.S. is $98,777. Salaries typically range from $81,501 (10th percentile) to $114,630 (90th percentile), with most professionals earning between $89,734 (25th percentile) and $107,075 (75th percentile).
What Is the Projected Job Growth?
17%
While role-specific projections for QA Analysts are not published, the broader occupational category of Software Quality Assurance Analysts and Testers is projected by the to grow by 17% from 2023 to 2033, which is much faster than average. This expansion reflects the growing demand for software quality and is expected to result in about 140,100 annual job openings.
SKILLS
What Skills Does a QA Analyst Need?
This is a career that involves very methodical, meticulous work, such as sifting through vast amounts of data to find defects. Therefore, you’ll find that having strong attention to detail is perhaps the most important skill of all.
In addition, these skills are also essential:
- A firm understanding of programming and IT.A QA analyst must filter through line after line of code, which requires an in-depth comprehension of programming and how it fits into IT.
- Critical thinking.They must be adept at analyzing programs and identifying problems.
- Creative problem-solving.The entire purpose of working as a QA analyst is coming up with solutions to difficult problems, which often requires an out-of-the-box approach.
- Great communication.They constantly collaborate with managers and other team members and need to be adept at both verbal and written communication.
- The ability to see the big picture.They must also be capable of understanding how the smaller pieces of a program fit in with one another and how they affect the overall user experience.
Possessing these skills should make you a natural fit for this career and is integral to catching errors before programs are released to the public.
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