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

Salary details

The average senior-level / expert Data Quality Analyst salary lies between USD 97,870 and USD 147,000 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.

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

Last updated: Nov. 10, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert Data Quality Analyst roles

The three most common job tag items assiciated with senior-level / expert Data Quality Analyst 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 | 44 jobs SQL | 40 jobs Data analysis | 27 jobs Python | 25 jobs Data governance | 23 jobs Data management | 20 jobs Tableau | 15 jobs Engineering | 15 jobs Power BI | 14 jobs Snowflake | 11 jobs Excel | 11 jobs Data visualization | 11 jobs Jira | 11 jobs Computer Science | 11 jobs Statistics | 9 jobs ETL | 8 jobs Research | 8 jobs Testing | 8 jobs Agile | 8 jobs Mathematics | 8 jobs

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

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

Health care | 17 jobs Career development | 17 jobs Flex hours | 16 jobs Competitive pay | 13 jobs Startup environment | 9 jobs Equity / stock options | 8 jobs Team events | 6 jobs 401(k) matching | 5 jobs Flex vacation | 4 jobs Transparency | 3 jobs Insurance | 3 jobs Wellness | 2 jobs Medical leave | 2 jobs Parental leave | 1 jobs Gear | 1 jobs Salary bonus | 1 jobs Home office stipend | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Data Quality Analyst in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, usually ranging from 10-20%. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5-10% of the total package.

Regional differences also play a significant role; for instance, salaries in tech hubs like San Francisco or New York tend to be higher due to the cost of living and competitive job markets. Industry-wise, tech and finance sectors often offer higher compensation compared to healthcare or education. Larger companies may provide more comprehensive benefits and bonuses, while smaller companies might offer more equity-based incentives.

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.
• Leadership Roles: Transition into leadership or managerial roles, such as a Data Quality Manager or Director of Data Quality, which typically offer higher salaries.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Negotiation: Improve your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.
• Certifications: Obtain advanced certifications that are recognized in the industry to demonstrate your expertise and commitment to professional growth.

Educational Requirements

Most Senior-level Data Quality Analyst positions require at least a bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or Data Science. However, a master's degree or even a Ph.D. can be advantageous, especially for roles in research-intensive industries or companies. Advanced degrees often provide a deeper understanding of complex data systems and analytical techniques, which are crucial for high-level positions.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise. Some valuable certifications include:

• Certified Data Management Professional (CDMP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Data Analytics – Specialty
• SAS Certified Data Scientist

These certifications can help validate your skills in data management, cloud computing, and data analytics, making you a more competitive candidate.

Required Experience

Typically, a Senior-level Data Quality Analyst is expected to have at least 5-10 years of experience in data analysis, data management, or a related field. This experience should include a proven track record of managing data quality projects, implementing data governance frameworks, and working with large datasets. Experience in leading teams or projects is also highly valued, as it demonstrates your ability to manage complex tasks and collaborate effectively with cross-functional teams.

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