Salary for Senior-level / Expert Data Quality Specialist during 2024

Salary details

The average senior-level / expert Data Quality Specialist salary lies between USD 97,870 and USD 163,116 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 Senior-level / Expert Data Quality Specialist roles

The three most common job tag items assiciated with senior-level / expert 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 | 15 jobs SQL | 9 jobs Data analysis | 8 jobs Data governance | 7 jobs Power BI | 5 jobs Excel | 5 jobs Data management | 5 jobs Research | 4 jobs Computer Science | 4 jobs Privacy | 4 jobs Security | 3 jobs KPIs | 3 jobs Python | 2 jobs Machine Learning | 2 jobs ETL | 2 jobs Data Analytics | 2 jobs Banking | 2 jobs Finance | 2 jobs CX | 2 jobs Agile | 2 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Quality Specialist roles

The three most common job benefits and perks assiciated with senior-level / expert Data Quality Specialist job listings are Competitive pay, Health care and Career development. 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:

Competitive pay | 8 jobs Health care | 5 jobs Career development | 5 jobs Flex hours | 4 jobs Flex vacation | 3 jobs Wellness | 3 jobs Startup environment | 3 jobs Equity / stock options | 1 jobs Conferences | 1 jobs Team events | 1 jobs Medical leave | 1 jobs Insurance | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Data Quality Specialist in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or other benefits, can make up the remaining 5-10%.

Regional differences play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York City may offer higher base salaries and more lucrative stock options compared to other regions. Industry also impacts salary composition; tech companies might offer more in stock options, while financial firms might provide higher cash bonuses. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and smaller startups offering more equity.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML and data science. Specializing in niche areas can make you more valuable.
• Advanced Education: Pursuing advanced degrees or certifications can enhance your qualifications and justify a higher salary.
• Leadership Roles: Transitioning into managerial or leadership roles can significantly increase your earning potential.
• Networking: Building a strong professional network can open up opportunities for higher-paying positions.
• Industry Transition: Moving to a higher-paying industry, such as finance or healthcare, can also lead to salary increases.

Educational Requirements

Most Senior-level Data Quality Specialist roles require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, or Information Technology. However, a master's degree or even a Ph.D. is often preferred, especially for expert-level positions. Advanced degrees demonstrate a deeper understanding of complex data systems and analytical techniques, which are crucial for high-level data quality roles.

Helpful Certifications

Certifications can bolster your credentials and demonstrate expertise in specific areas. Some valuable certifications include:

• Certified Data Management Professional (CDMP)
• Certified Information Systems Auditor (CISA)
• Microsoft Certified: Azure Data Scientist Associate
• AWS Certified Data Analytics – Specialty
• Google Professional Data Engineer

These certifications can validate your skills and knowledge, making you a more competitive candidate for senior roles.

Required Experience

Typically, a Senior-level Data Quality Specialist is expected to have at least 5-10 years of experience in data management, data quality, or related fields. This experience should include hands-on work with data quality tools, data governance frameworks, and data analysis. Experience in leading projects, managing teams, and implementing data quality strategies is also highly valued.

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