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

Salary details

The average senior-level / expert Data Quality Analyst salary lies between USD 108,557 and USD 147,000 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: Dec. 22, 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 | 53 jobs SQL | 47 jobs Data analysis | 31 jobs Data governance | 27 jobs Python | 26 jobs Data management | 26 jobs Engineering | 20 jobs Tableau | 19 jobs Power BI | 17 jobs Excel | 14 jobs Computer Science | 14 jobs Data visualization | 13 jobs Testing | 12 jobs Snowflake | 12 jobs Statistics | 12 jobs Jira | 11 jobs Agile | 10 jobs Research | 9 jobs Banking | 9 jobs Data pipelines | 9 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 | 22 jobs Career development | 20 jobs Flex hours | 19 jobs Competitive pay | 15 jobs Startup environment | 10 jobs Equity / stock options | 8 jobs Team events | 8 jobs 401(k) matching | 5 jobs Flex vacation | 4 jobs Insurance | 4 jobs Wellness | 3 jobs Transparency | 3 jobs Parental leave | 2 jobs Medical leave | 2 jobs Gear | 1 jobs Fitness / gym | 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 the United States typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations, profit-sharing or retirement contributions might be more prevalent. The industry also plays a role; for instance, finance and tech sectors often offer higher bonuses compared to healthcare or education.

Increasing Salary

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

• Skill Enhancement: Acquire advanced skills in AI/ML, big data technologies, or data governance. Specializing in a niche area can make you more valuable.
• Leadership Roles: Transition into managerial or leadership roles, such as Data Quality Manager or Director of Data Quality, which typically offer higher salaries.
• Industry Shift: Moving to a higher-paying industry, such as finance or tech, can result in a significant salary increase.
• Networking and Visibility: Attend industry conferences, publish articles, or speak at events to increase your visibility and attract higher-paying opportunities.
• Negotiation: Leverage your experience and achievements to negotiate better compensation during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level Data Quality Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Information Technology, Statistics, or Data Science. A master's degree or higher in these fields can be advantageous and is often preferred by employers, especially for expert-level roles. Advanced degrees demonstrate a deeper understanding of data management and analytical techniques, which are crucial for this position.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise in data quality and related areas. Some valuable certifications include:

• Certified Information Systems Auditor (CISA)
• Certified Data Management Professional (CDMP)
• Certified Information Management Professional (CIMP)
• Data Quality Management Certification
• Six Sigma Certification (for process improvement skills)

These certifications can provide a competitive edge and may be required by some employers.

Experience Requirements

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. Experience in data quality assurance, data governance, and familiarity with data quality tools and methodologies is crucial. Prior experience in leading projects or teams can also be beneficial, as it demonstrates leadership and project management skills.

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