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

💰 The median Salary for Senior-level / Expert Data Quality Analyst during 2023 is USD 88,500

✏️ This salary info is based on 12 individual salaries reported during 2023

Salary details

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

Job title: Data Quality Analyst

Experience: Senior-level / Expert

Region: global/worldwide

Salary year: 2023

Sample size: 12

Top 10%: $ 140,000

Top 25%: $ 100,000

Median: $ 88,500

Bottom 25%: $ 80,000

Bottom 10%: $ 72,200

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

Last updated: Oct. 28, 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:

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:

Salary Composition

The salary for a Senior-level or Expert Data Quality Analyst typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive market. Bonuses are often tied to individual performance, team success, or company profitability, and can range from 10% to 20% of the base salary. Larger companies or those in high-growth industries like tech or finance might offer additional incentives such as stock options, which can be a significant part of the total compensation package.

Steps to Increase Salary

To increase your salary 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 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 boost your earning potential.
Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
Certifications: Obtaining advanced certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most Senior-level 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 expert-level roles. Advanced degrees can 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 qualifications and make you more competitive in the job market. 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 demonstrate your expertise in data management, analysis, and the use of specific tools and platforms.

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 specific industries, such as finance or healthcare, can also be beneficial, as it provides domain-specific knowledge that can be crucial for certain roles.

Related salaries

Data Quality Analyst @ $ 70,000 (global) - Mid-level / Intermediate 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

Data Quality Analyst @ $ 82,000 (United States) Details

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