Salary for Mid-level / Intermediate Data Management Analyst during 2024

Salary details

The average mid-level / intermediate Data Management Analyst salary lies between USD 69,000 and USD 106,848 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. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Management Analyst roles

The three most common job tag items assiciated with mid-level / intermediate Data Management Analyst job listings are Data management, Excel and Data quality. 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 management | 45 jobs Excel | 20 jobs Data quality | 17 jobs Security | 15 jobs Engineering | 14 jobs Data analysis | 13 jobs Data governance | 12 jobs Research | 11 jobs Finance | 9 jobs SQL | 8 jobs Privacy | 7 jobs Industrial | 6 jobs Testing | 6 jobs Classification | 6 jobs Computer Science | 6 jobs Tableau | 5 jobs Data Analytics | 5 jobs Mathematics | 5 jobs Data warehouse | 5 jobs Python | 4 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Management Analyst roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Management 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 | 30 jobs Health care | 23 jobs Flex hours | 17 jobs Insurance | 16 jobs Medical leave | 12 jobs Flex vacation | 11 jobs Wellness | 11 jobs Competitive pay | 11 jobs Equity / stock options | 10 jobs 401(k) matching | 9 jobs Parental leave | 9 jobs Team events | 9 jobs Startup environment | 8 jobs Fitness / gym | 6 jobs Salary bonus | 6 jobs Transparency | 4 jobs Unlimited paid time off | 4 jobs Fertility benefits | 4 jobs Flat hierarchy | 2 jobs Flexible spending account | 2 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Management Analyst typically comprises a base salary, performance 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. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement contributions, and paid time off.

Regional differences can also impact salary composition. For instance, positions in tech hubs like San Francisco or New York may offer higher base salaries and stock options due to the higher cost of living and competitive job market. Industry also plays a role; financial services and tech companies often offer more lucrative bonus structures compared to non-profit or government sectors. Company size can influence the package as well, with larger companies typically offering more comprehensive benefits and bonuses.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and data science. This could include learning new programming languages, mastering advanced data analytics tools, or gaining expertise in machine learning algorithms.

• Advanced Education: Pursuing further education, such as a master's degree in data science, computer science, or a related field, can make you more competitive for higher-paying roles.

• Networking: Engage with professional networks and communities in the AI/ML field. This can open up opportunities for higher-paying positions and provide insights into industry trends.

• Certifications: Obtain relevant certifications that can validate your skills and make you more attractive to employers.

• Leadership Roles: Aim for leadership or managerial roles within your organization, which typically come with higher salaries.

Educational Requirements

Most mid-level data management 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 prefer candidates with a master's degree, especially for roles that involve complex data analysis or machine learning tasks. A strong foundation in quantitative and analytical skills is essential, and coursework in data management, database systems, and programming is highly beneficial.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications for this role include:

• Certified Analytics Professional (CAP): Validates your ability to transform data into valuable insights.
• Microsoft Certified: Azure Data Scientist Associate: Focuses on applying data science techniques on Microsoft Azure.
• Google Professional Data Engineer: Demonstrates your ability to design, build, and manage data processing systems.
• AWS Certified Data Analytics – Specialty: Validates expertise in using AWS data lakes and analytics services.

Required Experience

Typically, a mid-level data management analyst position requires 3-5 years of experience in data analysis, data management, or a related field. Experience with data visualization tools, database management, and programming languages such as Python or SQL is often necessary. Familiarity with machine learning frameworks and cloud platforms can also be advantageous.

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