Data Quality Analyst Salary in United States during 2023

πŸ’° The median Data Quality Analyst Salary in United States during 2023 is USD 82,000

✏️ This salary info is based on 18 individual salaries reported during 2023

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Salary details

The average Data Quality Analyst salary lies between USD 70,000 and USD 95,000 in the United States. 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
United States
Salary year
2023
Sample size
18
Top 10%
$ 140,000
Top 25%
$ 95,000
Median
$ 82,000
Bottom 25%
$ 70,000
Bottom 10%
$ 64,980

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated:

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:

Data quality | 82 jobs SQL | 51 jobs Excel | 30 jobs Data analysis | 28 jobs Python | 27 jobs Testing | 27 jobs Engineering | 26 jobs Research | 23 jobs Agile | 22 jobs Computer Science | 19 jobs Scrum | 17 jobs Privacy | 17 jobs Tableau | 16 jobs RDBMS | 15 jobs Jira | 14 jobs Salesforce | 14 jobs Data management | 13 jobs Data governance | 13 jobs Security | 12 jobs Finance | 11 jobs

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:

Career development | 43 jobs Health care | 40 jobs Competitive pay | 28 jobs Flex vacation | 25 jobs Flex hours | 24 jobs Equity / stock options | 19 jobs Medical leave | 19 jobs Startup environment | 18 jobs Insurance | 16 jobs Team events | 14 jobs Parental leave | 12 jobs 401(k) matching | 10 jobs Salary bonus | 7 jobs Wellness | 6 jobs Gear | 5 jobs Unlimited paid time off | 5 jobs Home office stipend | 4 jobs Lunch / meals | 2 jobs Flat hierarchy | 2 jobs Pet friendly | 2 jobs

Salary Composition for a Data Quality Analyst

The salary for a Data Quality Analyst in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the bulk of the total compensation package. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might be more prevalent, whereas in other regions, the base salary might be more dominant. Larger companies or those in high-demand industries like finance or technology may offer more competitive packages, including higher bonuses and additional perks such as health benefits, retirement plans, and professional development opportunities.

Steps to Increase Salary

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

  • Skill Enhancement: Acquire advanced skills in data analysis, machine learning, or data engineering. Proficiency in programming languages like Python or R, and tools like SQL, can make you more valuable.
  • Certifications: Obtain relevant certifications that demonstrate your expertise and commitment to the field.
  • Networking: Engage with professional networks and communities to learn about new opportunities and 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 more advanced roles. Coursework in data management, database systems, and statistical analysis is often beneficial.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your expertise. Some valuable certifications for a Data Quality Analyst include:

  • Certified Data Management Professional (CDMP)
  • Microsoft Certified: Azure Data Scientist Associate
  • IBM Data Science Professional Certificate
  • SAS Certified Data Scientist
  • Google Data Analytics Professional Certificate

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 warehousing can be particularly advantageous. Demonstrated experience in improving data quality and implementing data quality frameworks is often required.

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 @ $ 81,000 (global) Details
Data Quality Analyst @ $ 88,500 (United States) - Senior-level / Expert Details
Data Quality Analyst @ $ 70,000 (United States) - Mid-level / Intermediate Details

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