Solutions Review explores the state of data quality analyst salary in the United States, along with a link to the most popular e-learning training.
Data quality analysts are professionals who specialize in ensuring that data is accurate, complete, and consistent. In the United States, data quality analyst salaries are expected to remain competitive in 2023, as businesses continue to recognize the importance of data accuracy in their operations and decision-making.
According to a report by PayScale, the national average salary for a data quality analyst in the United States is $66,000 per year. However, salaries can vary significantly based on several factors such as location, industry, and experience level. For example, data quality analysts working in major tech hubs like San Francisco and Seattle can expect higher salaries, with an average salary of $76,000 and $72,000, respectively.
Data Quality Analyst Salary Expectations
Industry is another critical factor that influences data quality analyst salaries in the United States. The technology industry is currently the industry with the highest demand for data quality analysts, and professionals in this industry can expect an average salary of $72,000 per year. Other industries with high-paying data quality analyst roles include finance, healthcare, and e-commerce.
Experience level is also a critical consideration when it comes to data quality analyst salaries in the United States. Entry-level analysts with less than one year of experience can expect an average salary of $50,000 per year, while those with 1-3 years of experience can expect an average salary of $57,000 per year. Mid-level analysts with 4-6 years of experience can expect an average salary of $66,000 per year, while senior analysts with 7+ years of experience can expect an average salary of $76,000 per year.
Education is also an important factor that influences data quality analyst salaries in the United States. While a bachelor’s degree in a related field such as computer science or information systems may be sufficient, having a master’s degree or Ph.D. can significantly increase earning potential. Data quality analysts with a master’s degree can expect an average salary of $72,000 per year, while those with a Ph.D. can expect an average salary of $76,000 per year.
In addition to base salaries, data quality analysts may also receive other benefits and perks such as health insurance, retirement plans, and paid time off. They may also have the opportunity to work on exciting projects and gain valuable experience that can help advance their careers.
Data quality analysis is a critical process in modern businesses, and salaries for data quality analysts in the United States are expected to remain competitive in 2023. Salaries can vary depending on factors such as location, industry, experience level, and education. With the right combination of skills and experience, data quality analysts can expect to earn a comfortable salary and enjoy a fulfilling career in a growing industry.
Recommended Data Management Training
TITLE: Data Wrangling, Analysis and AB Testing with SQL
OUR TAKE: This course helps you learn how to segment and analyze data per segment using windowing functions and use case statements to execute conditional logic to address a data science inquiry.
Description: This course allows you to apply the SQL skills taught in “SQL for Data Science” to four increasingly complex and authentic data science inquiry case studies. Students will learn how to convert timestamps of all types to common formats and perform date/time calculations. You’ll also select and perform the optimal JOIN for a data science inquiry and clean data within an analysis dataset by deduping, running quality checks, backfilling, and handling nulls.GO TO TRAINING
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