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

Salary details

The average entry-level / junior Data Integrity Analyst salary lies between USD 38,750 and USD 135,000 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.

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

Last updated: Dec. 15, 2024

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

The three most common job tag items assiciated with entry-level / junior Data Integrity Analyst job listings are Data quality, Excel and Security. 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 | 15 jobs Excel | 12 jobs Security | 11 jobs Data management | 11 jobs Research | 9 jobs SQL | 8 jobs Privacy | 7 jobs Finance | 5 jobs Driver’s license | 5 jobs Tableau | 4 jobs Statistics | 4 jobs Data analysis | 4 jobs Python | 3 jobs Data visualization | 3 jobs Teaching | 3 jobs Data governance | 3 jobs HL7 | 3 jobs R | 2 jobs ETL | 2 jobs Oracle | 2 jobs

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

The three most common job benefits and perks assiciated with entry-level / junior Data Integrity Analyst job listings are Career development, Health care and Startup environment. 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 | 10 jobs Health care | 9 jobs Startup environment | 9 jobs Flex hours | 7 jobs Competitive pay | 6 jobs Team events | 5 jobs Equity / stock options | 4 jobs Insurance | 4 jobs Flex vacation | 3 jobs Salary bonus | 3 jobs 401(k) matching | 2 jobs Wellness | 2 jobs Parental leave | 1 jobs Travel | 1 jobs Gear | 1 jobs Fitness / gym | 1 jobs Transparency | 1 jobs Relocation support | 1 jobs Yoga | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary for an Entry-level/Junior Data Integrity Analyst typically consists of a base salary, performance bonuses, and sometimes additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and stock options, while other regions might offer more in terms of bonuses. Industry also plays a role; for instance, finance and tech industries often provide higher compensation packages compared to non-profit or public sectors. Company size can influence the package as well, with larger companies typically offering more comprehensive benefits and bonuses.

Career Advancement

To increase your salary from an entry-level position, consider gaining specialized skills or certifications that are in high demand. Pursuing advanced education, such as a master's degree in data science or a related field, can also be beneficial. Networking within the industry and seeking mentorship can provide insights into career advancement opportunities. Additionally, gaining experience in high-impact projects or taking on leadership roles within your team can demonstrate your value to the organization, potentially leading to promotions or salary increases. Staying updated with the latest trends and technologies in AI/ML and data science can also make you a more valuable asset to your employer.

Educational Requirements

Most entry-level Data Integrity Analyst positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or information technology. Some positions may accept degrees in related fields if the candidate has relevant experience or skills. A strong foundation in mathematics and statistics is often essential, as is proficiency in programming languages like Python or R. Understanding database management and data warehousing concepts is also beneficial.

Helpful Certifications

Certifications can enhance your resume and demonstrate your commitment to the field. Some valuable certifications include:

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

These certifications can provide you with a competitive edge and may be particularly beneficial if you lack formal education in data science or related fields.

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 projects during your studies. Experience with data analysis tools, programming languages, and database management systems is often required. Familiarity with data integrity principles and practices is also important. While extensive professional experience may not be necessary, demonstrating your ability to apply theoretical knowledge in practical scenarios can be advantageous.

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