Salary for Senior-level / Expert Data Quality Analyst in United States during 2023

Salary details

The average senior-level / expert Data Quality Analyst salary lies between USD 80,000 and USD 100,000 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.

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: Nov. 17, 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 2023 and the number of open jobs that where associated with them during that period:

Data quality | 28 jobs SQL | 23 jobs Data analysis | 15 jobs Testing | 14 jobs Computer Science | 14 jobs Research | 13 jobs Agile | 13 jobs Scrum | 11 jobs RDBMS | 11 jobs Python | 10 jobs Tableau | 8 jobs Engineering | 8 jobs SDLC | 8 jobs Privacy | 8 jobs Architecture | 7 jobs Data management | 6 jobs Excel | 5 jobs Salesforce | 5 jobs Data Analytics | 4 jobs Finance | 4 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, Equity / stock options 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:

Health care | 18 jobs Equity / stock options | 15 jobs Competitive pay | 15 jobs Flex vacation | 13 jobs Career development | 13 jobs Medical leave | 13 jobs Parental leave | 10 jobs Insurance | 10 jobs 401(k) matching | 9 jobs Startup environment | 7 jobs Team events | 5 jobs Flex hours | 4 jobs Gear | 4 jobs Wellness | 2 jobs Home office stipend | 2 jobs Unlimited paid time off | 2 jobs Flat hierarchy | 1 jobs

Salary Composition

The salary for a Senior-level/Expert 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 majority of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. For instance, tech companies or financial institutions might offer higher bonuses compared to non-profit organizations. Additional remuneration might include stock options, especially in tech startups, or comprehensive benefits packages that include health insurance, retirement plans, and other perks. The composition can also vary by region, with tech hubs like San Francisco or New York offering higher base salaries and bonuses compared to other regions.

Steps to Increase Salary

To increase your salary from a Senior-level/Expert Data Quality Analyst position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or methodologies can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into managerial or leadership roles can significantly increase your earning potential.
• Industry Change: Moving to a higher-paying industry, such as finance or tech, can result in a salary increase.
• Networking: Building a strong professional network can lead to opportunities for higher-paying positions.

Educational Requirements

Most Senior-level/Expert Data Quality Analyst positions require at least a bachelor's degree in a related field such as computer science, statistics, mathematics, or information technology. However, many employers prefer candidates with a master's degree or higher, especially for senior roles. Advanced degrees can provide a deeper understanding of data analysis, machine learning, and statistical methods, which are crucial for this role.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

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

These certifications can validate your skills in data quality management, data analysis, and machine learning, making you a more competitive candidate.

Experience Requirements

Typically, a Senior-level/Expert Data Quality Analyst is expected to have at least 5-10 years of experience in data analysis, data quality management, or a related field. Experience in handling large datasets, proficiency in data analysis tools, and a strong understanding of data governance and quality frameworks are often required. Experience in leading projects or teams can also be beneficial.

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