Salary for Senior-level / Expert Data Management Analyst in United States during 2024

Salary details

The average senior-level / expert Data Management Analyst salary lies between USD 86,955 and USD 149,200 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: Dec. 22, 2024

Top 20 Job Tags for Senior-level / Expert Data Management Analyst roles

The three most common job tag items assiciated with senior-level / expert Data Management Analyst job listings are Data management, Data quality 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 management | 43 jobs Data quality | 16 jobs Security | 15 jobs Excel | 15 jobs Privacy | 15 jobs SQL | 14 jobs Engineering | 14 jobs Computer Science | 13 jobs Research | 11 jobs Data analysis | 11 jobs Data governance | 11 jobs Python | 8 jobs Testing | 7 jobs Jira | 7 jobs Architecture | 6 jobs Confluence | 6 jobs CAD | 5 jobs SAS | 5 jobs Statistics | 5 jobs Tableau | 4 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Management Analyst roles

The three most common job benefits and perks assiciated with senior-level / expert Data Management Analyst job listings are Career development, Health care and Parental leave. 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 Parental leave | 17 jobs Medical leave | 17 jobs Insurance | 17 jobs Salary bonus | 14 jobs 401(k) matching | 11 jobs Flex hours | 11 jobs Wellness | 10 jobs Flex vacation | 9 jobs Team events | 9 jobs Startup environment | 8 jobs Competitive pay | 8 jobs Equity / stock options | 6 jobs Signing bonus | 2 jobs Gear | 1 jobs Conferences | 1 jobs Pet friendly | 1 jobs Flexible spending account | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for a Senior-level/Expert Data Management Analyst in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part 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 and stock options might be more substantial compared to other areas. In contrast, smaller companies or those in less competitive regions might offer fewer bonuses but could compensate with other benefits like flexible working conditions or additional vacation days. Industry also plays a role; for instance, finance and tech industries often offer higher bonuses compared to non-profit or public sectors.

Increasing Salary

To increase your salary from this position, consider pursuing advanced certifications or further education, such as a master's degree or specialized courses in AI/ML. Networking within industry-specific groups and attending conferences can also open up opportunities for higher-paying roles. Additionally, gaining experience in high-demand areas like machine learning engineering or data architecture can make you more valuable. Seeking roles in larger companies or those in high-cost living areas can also lead to higher salaries. Negotiating your salary based on market research and your contributions to the company can also be effective.

Educational Requirements

Most Senior-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. However, a master's degree or even a Ph.D. can be advantageous, especially in competitive markets or for roles that require a deep understanding of complex data systems and algorithms. Continuous learning through online courses or workshops is also highly valued.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate expertise in specific areas. Some valuable certifications include:

• Certified Analytics Professional (CAP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Data Scientist

These certifications can help validate your skills and make you more competitive in the job market.

Required Experience

Typically, a Senior-level Data Management Analyst is expected to have at least 5-10 years of experience in data management, analysis, or a related field. This experience should include hands-on work with data modeling, database management, and data analysis tools. Experience in leading projects, managing teams, and working with cross-functional teams is also often required. Familiarity with industry-specific data regulations and standards can be crucial, depending on the sector.

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