Salary for Entry-level / Junior Data Quality Analyst in United States during 2024

Salary details

The average entry-level / junior Data Quality Analyst salary lies between USD 75,000 and USD 101,098 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. 10, 2024

Top 20 Job Tags for Entry-level / Junior Data Quality Analyst roles

The three most common job tag items assiciated with entry-level / junior Data Quality Analyst job listings are Data quality, SQL and Data governance. 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 | 126 jobs SQL | 78 jobs Data governance | 51 jobs Excel | 45 jobs Data analysis | 43 jobs Engineering | 41 jobs Data management | 39 jobs Statistics | 35 jobs Research | 33 jobs Python | 32 jobs Tableau | 30 jobs Security | 30 jobs Computer Science | 30 jobs Testing | 28 jobs Power BI | 26 jobs Finance | 24 jobs Machine Learning | 22 jobs Privacy | 19 jobs Mathematics | 18 jobs ETL | 17 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Data Quality Analyst roles

The three most common job benefits and perks assiciated with entry-level / junior Data Quality Analyst job listings are Career development, Health care 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:

Career development | 66 jobs Health care | 45 jobs Flex hours | 35 jobs Team events | 28 jobs Competitive pay | 25 jobs Salary bonus | 22 jobs Insurance | 19 jobs Equity / stock options | 18 jobs Parental leave | 17 jobs Flex vacation | 17 jobs Wellness | 15 jobs 401(k) matching | 14 jobs Medical leave | 10 jobs Startup environment | 7 jobs Gear | 5 jobs Fitness / gym | 5 jobs Unlimited paid time off | 4 jobs Signing bonus | 3 jobs Flexible spending account | 2 jobs Transparency | 1 jobs

Salary Composition for Entry-Level Data Quality Analyst

The salary for an entry-level or junior Data Quality Analyst in the United States typically comprises a base salary, potential bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the bulk of the total compensation package. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses might be more substantial compared to other areas. Additionally, larger companies or those in high-demand industries such as finance or technology may offer stock options or other incentives as part of the compensation package. Benefits such as health insurance, retirement plans, and paid time off also contribute to the overall remuneration.

Steps to Increase Salary from This Position

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

• Skill Enhancement: Continuously upgrade your skills in data analysis, machine learning, and data management tools. Proficiency in programming languages like Python or R, and experience with data visualization tools can be advantageous.
• Advanced Education: Pursuing further education, such as a master's degree in data science, statistics, or a related field, can open up higher-paying opportunities.
• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.
• Networking: Building a strong professional network can lead to new opportunities and insights into higher-paying roles.
• Performance Excellence: Consistently exceeding performance expectations can lead to promotions and salary raises.

Educational Requirements

Most entry-level Data Quality Analyst positions require at least a bachelor’s degree in a related field such as computer science, information technology, statistics, or mathematics. Some employers may also consider candidates with degrees in business or engineering if they have relevant skills and experience. A strong foundation in data management, statistical analysis, and programming is essential.

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
• IBM Data Science Professional Certificate
• SAS Certified Data Scientist
• Google Data Analytics Professional Certificate

These certifications can validate your skills and knowledge, making you a more attractive candidate for employers.

Experience Requirements

For an entry-level position, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or relevant project work during your studies. Experience with data analysis tools, databases, and programming languages is often required. Demonstrating your ability to work with data sets, perform quality checks, and generate insights can be crucial.

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