Data Quality Analyst Salary in 2023

💰 The median Data Quality Analyst Salary in 2023 is USD 81,000

✏️ This salary info is based on 20 individual salaries reported during 2023

Salary details

The average Data Quality Analyst salary lies between USD 65,000 and USD 95,000 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Job title: Data Quality Analyst

Experience: all levels

Region: global/worldwide

Salary year: 2023

Sample size: 20

Top 10%: $ 100,000

Top 25%: $ 95,000

Median: $ 81,000

Bottom 25%: $ 65,000

Bottom 10%: $ 49,216

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Data Quality Analyst roles

The three most common job tag items assiciated with Data Quality Analyst job listings are Data quality, SQL and Excel. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Top 20 Job Perks/Benefits for Data Quality Analyst roles

The three most common job benefits and perks assiciated with Data Quality Analyst job listings are Career development, Health care and Competitive pay. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Salary Composition

The salary for a Data Quality Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the most significant component, often accounting for 70-85% of the total compensation package. Performance bonuses can vary widely, ranging from 5-20% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, profit-sharing, or comprehensive benefits packages, can also play a role, especially in larger tech companies or startups. Regional differences can affect these components, with tech hubs like San Francisco or New York offering higher base salaries but potentially lower relative bonuses due to the competitive market. Industry and company size also influence salary composition, with larger firms often providing more structured bonus schemes and additional perks.

Increasing Salary

To increase your salary from a Data Quality Analyst position, consider the following steps:

Skill Enhancement: Acquire advanced skills in data analysis, machine learning, or programming languages like Python and R. Specializing in a niche area can make you more valuable.
Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.
Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
Advanced Education: Pursue further education, such as a master's degree in data science or a related field, to qualify for higher-level positions.
Performance Excellence: Consistently exceed performance expectations to position yourself for promotions or salary negotiations.

Educational Requirements

Most Data Quality Analyst positions require at least a bachelor's degree in a related field such as computer science, information technology, statistics, or data science. Some employers may prefer candidates with a master's degree, especially for roles that involve more complex data analysis or machine learning tasks. A strong foundation in mathematics and statistics is often essential, as is proficiency in data management and analysis tools.

Helpful Certifications

Several certifications can enhance your qualifications as a Data Quality Analyst:

Certified Data Management Professional (CDMP): Focuses on data management skills and best practices.
Microsoft Certified: Azure Data Scientist Associate: Validates expertise in applying data science techniques on Azure.
SAS Certified Data Scientist: Demonstrates proficiency in data manipulation and machine learning using SAS.
IBM Data Science Professional Certificate: Covers data science fundamentals and practical applications.

These certifications can help you stand out in the job market and may lead to better job opportunities and higher salaries.

Experience Requirements

Typically, employers look for candidates with 2-5 years of experience in data analysis, data management, or a related field. Experience with data quality tools, data governance, and data cleansing processes is often required. Familiarity with industry-specific data standards and regulations can also be beneficial, especially in sectors like finance or healthcare.

Related salaries

Data Quality Analyst @ $ 70,000 (global) - Mid-level / Intermediate Details

Data Quality Analyst @ $ 88,500 (global) - Senior-level / Expert Details

Data Quality Analyst @ $ 88,500 (United States) - Senior-level / Expert Details

Data Quality Analyst @ $ 70,000 (United States) - Mid-level / Intermediate Details

Data Quality Analyst @ $ 82,000 (United States) Details

Want to contribute?

📝 Submit your salary info

Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.

Go to salary survey

📢 Share our salary survey

Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.

💾 Download the data

All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.

Go to download page

🚀 Search for jobs & talent

If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.

Go to frontpage

About this project

We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.

Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.

Add your salary info Download all salary data