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

💰 The median Salary for Entry-level / Junior Data Quality Analyst in United States during 2024 is USD 84,850

✏️ This salary info is based on 36 individual salaries reported during 2024

Salary details

The average entry-level / junior Data Quality Analyst salary lies between USD 70,000 and USD 95,000 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.

Job title: Data Quality Analyst

Experience: Entry-level / Junior

Region: United States

Salary year: 2024

Sample size: 36

Top 10%: $ 135,000

Top 25%: $ 95,000

Median: $ 84,850

Bottom 25%: $ 70,000

Bottom 10%: $ 59,500

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

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:

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:

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.

Related salaries

Data Quality Analyst @ $ 120,450 (global) - Senior-level / Expert Details

Data Quality Analyst @ $ 82,783 (global) - Entry-level / Junior Details

Data Quality Analyst @ $ 90,000 (global) Details

Data Quality Analyst @ $ 121,500 (United States) - Senior-level / Expert Details

Data Quality Analyst @ $ 92,031 (United States) Details

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