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

Salary details

The average mid-level / intermediate Data Management Analyst salary lies between USD 76,050 and USD 124,935 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. 17, 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 | 39 jobs Excel | 18 jobs Data quality | 17 jobs Data governance | 12 jobs Engineering | 11 jobs Security | 11 jobs Research | 10 jobs Data analysis | 10 jobs Finance | 9 jobs SQL | 7 jobs Privacy | 7 jobs Industrial | 6 jobs Classification | 6 jobs Computer Science | 6 jobs Mathematics | 5 jobs Big Data | 4 jobs Data Analytics | 4 jobs Testing | 4 jobs SharePoint | 4 jobs Data warehouse | 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 | 26 jobs Health care | 19 jobs Flex hours | 14 jobs Insurance | 12 jobs Medical leave | 11 jobs Equity / stock options | 10 jobs Wellness | 10 jobs Parental leave | 8 jobs Flex vacation | 8 jobs Startup environment | 8 jobs Competitive pay | 8 jobs Team events | 8 jobs 401(k) matching | 7 jobs Fitness / gym | 5 jobs Salary bonus | 5 jobs Unlimited paid time off | 4 jobs Fertility benefits | 4 jobs Transparency | 3 jobs Flat hierarchy | 2 jobs Gear | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Data Management Analyst in the United States 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 plans, and paid time off. The composition can vary by region, with tech hubs like San Francisco or New York offering higher base salaries but potentially lower relative bonuses due to the high cost of living. Industry also plays a role; for instance, finance and tech sectors might offer more lucrative bonuses compared to non-profit or public sectors. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and stock options.

Increasing Salary

To increase your salary from this position, consider pursuing advanced education or certifications that are highly valued in the industry. Networking within your field and seeking mentorship can provide insights into career advancement opportunities. Gaining experience in high-demand areas such as machine learning, big data analytics, or cloud computing can make you more valuable to employers. Additionally, taking on leadership roles or projects that demonstrate your ability to drive business value can position you for promotions or salary negotiations. Exploring opportunities in higher-paying industries or regions can also be a strategic move.

Educational Requirements

Most Mid-level/Intermediate 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 roles may prefer or require a master's degree, especially in competitive markets or specialized industries. A strong foundation in data management principles, database systems, and analytical skills is essential. Coursework or experience in programming languages like Python, R, or SQL is often expected.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate expertise to potential employers. Some common and beneficial certifications include:

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

These certifications can validate your skills in data analysis, machine learning, and data management, making you a more competitive candidate.

Required Experience

Typically, a Mid-level/Intermediate Data Management Analyst is expected to have 3-5 years of relevant experience. This experience should include working with data management systems, performing data analysis, and using data visualization tools. Experience in specific industries or with particular data management software can be advantageous. Demonstrated experience in problem-solving and the ability to work with cross-functional teams is often required.

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