Data Quality Specialist Salary in 2024

Salary details

The average Data Quality Specialist salary lies between USD 90,100 and USD 134,100 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.

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

Last updated: Dec. 15, 2024

Top 20 Job Tags for Data Quality Specialist roles

The three most common job tag items assiciated with Data Quality Specialist job listings are Data quality, SQL and Data analysis. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Data quality | 83 jobs SQL | 35 jobs Data analysis | 33 jobs Excel | 32 jobs Research | 23 jobs Data management | 22 jobs Data governance | 17 jobs Python | 16 jobs Power BI | 13 jobs Testing | 13 jobs Privacy | 13 jobs Machine Learning | 11 jobs Security | 11 jobs Computer Science | 11 jobs Agile | 10 jobs Engineering | 9 jobs Data Analytics | 9 jobs Finance | 9 jobs KPIs | 8 jobs Statistics | 8 jobs

Top 20 Job Perks/Benefits for Data Quality Specialist roles

The three most common job benefits and perks assiciated with Data Quality Specialist 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 2024 and the number of open jobs that where offering them during that period:

Career development | 33 jobs Health care | 27 jobs Competitive pay | 26 jobs Team events | 12 jobs Equity / stock options | 11 jobs Insurance | 11 jobs Wellness | 10 jobs Flex hours | 9 jobs Startup environment | 9 jobs Flex vacation | 6 jobs Conferences | 6 jobs Medical leave | 6 jobs Salary bonus | 5 jobs 401(k) matching | 4 jobs Parental leave | 2 jobs Fitness / gym | 2 jobs Home office stipend | 2 jobs Flexible spending account | 2 jobs Unlimited paid time off | 2 jobs Travel | 1 jobs

Salary Composition

The salary composition for a Data Quality Specialist in AI/ML/Data Science can vary significantly based on region, industry, and company size. Typically, the salary is divided into a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. In regions like North America and Western Europe, the base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can account for 10% to 20%, depending on the company's profitability and individual performance metrics. In tech-centric industries or larger companies, additional remuneration might include stock options, profit-sharing, or comprehensive benefits packages, which can add another 5% to 10% to the total compensation. In contrast, smaller companies or those in less tech-focused regions might offer a higher percentage of the total compensation as a base salary with fewer additional incentives.

Increasing Salary

To increase your salary further from the position of a Data Quality Specialist, consider the following strategies:

• Skill Enhancement: Continuously update your skills in data management, machine learning, and data governance. Specializing in emerging technologies or methodologies can make you more valuable.
• Advanced Education: Pursuing a master's degree or a Ph.D. in data science, computer science, or a related field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into managerial or leadership positions within data quality or data governance can significantly boost your earning potential.
• Industry Transition: Moving to industries with higher pay scales, such as finance, healthcare, or tech, can also increase your salary.
• Networking and Visibility: Building a strong professional network and increasing your visibility in the industry through conferences, publications, or speaking engagements can lead to better opportunities.

Educational Requirements

Most Data Quality Specialist roles require at least a bachelor's degree in a relevant field such as computer science, information technology, data science, or statistics. However, a master's degree is often preferred, especially for positions in competitive industries or larger organizations. Coursework in database management, data analysis, and quality assurance is particularly beneficial. Some roles may also value interdisciplinary studies that combine technical skills with business acumen.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your commitment to the field. Some valuable certifications for a Data Quality Specialist include:

• Certified Data Management Professional (CDMP)
• Data Quality Certification from DAMA International
• Certified Information Systems Auditor (CISA)
• Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Data Analytics – Specialty

These certifications can provide you with a competitive edge and are often recognized by employers as a testament to your expertise and dedication.

Required Experience

Typically, a Data Quality Specialist is expected to have 3 to 5 years of experience in data management, data analysis, or a related field. Experience with data quality tools, data governance frameworks, and familiarity with programming languages such as SQL, Python, or R is often required. Experience in specific industries can also be beneficial, as it provides context and understanding of industry-specific data challenges.

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