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

Salary details

The average entry-level / junior Data Quality Analyst salary lies between USD 62,946 and USD 100,714 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.

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

The salary for an Entry-level/Junior Data Quality Analyst typically consists of a base salary, which is the fixed component, and may include bonuses and additional remuneration. The base salary is often the largest portion and is influenced by factors such as region, industry, and company size. For instance, tech hubs like San Francisco or New York may offer higher base salaries compared to smaller cities due to the cost of living and demand for talent. Bonuses can be performance-based or company-wide, and they vary significantly across industries. In larger companies, especially in the tech or finance sectors, bonuses might be more substantial. Additional remuneration could include stock options, especially in startups, or benefits like health insurance, retirement plans, and professional development funds.

Increasing Salary

To increase your salary from an entry-level position, consider the following steps:

• 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 a master's degree in data science, statistics, or a related field can open up higher-paying opportunities.
• Networking: Engage with professional communities, attend industry conferences, and participate in workshops to expand your network and learn about new opportunities.
• Certifications: Obtain relevant certifications that can validate your skills and make you more competitive in the job market.
• Performance Excellence: Consistently exceed performance expectations in your current role to position yourself for promotions and salary increases.

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 profile and demonstrate your commitment to the field. Some valuable certifications include:

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

These certifications can provide you with a competitive edge and are often recognized by employers as a testament to your skills and knowledge.

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, solve problems, and communicate findings effectively is crucial.

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