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

Salary details

The average senior-level / expert Data Management Analyst salary lies between USD 94,860 and USD 149,200 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. 24, 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 SQL. 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 | 40 jobs Data quality | 14 jobs SQL | 13 jobs Security | 13 jobs Excel | 13 jobs Privacy | 13 jobs Engineering | 12 jobs Computer Science | 12 jobs Research | 10 jobs Data governance | 10 jobs Data analysis | 8 jobs Python | 7 jobs Testing | 7 jobs Jira | 7 jobs Architecture | 6 jobs Confluence | 6 jobs CAD | 5 jobs Consulting | 4 jobs Finance | 4 jobs Agile | 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 Medical 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 | 28 jobs Health care | 21 jobs Medical leave | 16 jobs Parental leave | 15 jobs Insurance | 15 jobs Salary bonus | 14 jobs 401(k) matching | 11 jobs Flex hours | 10 jobs Flex vacation | 8 jobs Wellness | 8 jobs Startup environment | 8 jobs Team events | 8 jobs Competitive pay | 7 jobs Equity / stock options | 6 jobs Signing bonus | 2 jobs Gear | 1 jobs Conferences | 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 typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses are often tied to individual, team, or company performance metrics and can vary significantly. Additional remuneration might include stock options, especially in tech companies, or profit-sharing schemes, which are more common in larger corporations.

Regional differences can also impact salary composition. For instance, positions in tech hubs like Silicon Valley or New York City might offer higher base salaries and more substantial stock options due to the high cost of living and competitive job market. Industry also plays a role; tech and finance sectors often provide more lucrative bonuses and stock options compared to other industries. Company size can influence the compensation structure as well, with larger companies typically offering more comprehensive benefits and bonus schemes.

Increasing Salary

To increase your salary from this position, consider pursuing advanced roles such as Data Science Manager or Director of Data Analytics. These roles often come with higher compensation and more strategic responsibilities. Additionally, expanding your skill set to include expertise in emerging technologies like artificial intelligence, machine learning, and big data analytics can make you more valuable to employers. Networking within industry circles and attending relevant conferences can also open up opportunities for higher-paying positions. Negotiating your salary during performance reviews or when taking on additional responsibilities can also lead to salary increases.

Educational Requirements

Most Senior-level/Expert Data Management Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Information Technology. However, a master's degree or even a Ph.D. can be advantageous and sometimes necessary, especially for roles in research-intensive industries or academia. Advanced degrees often provide a deeper understanding of complex data systems and analytical techniques, which are crucial for senior-level positions.

Helpful Certifications

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

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

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

Required Experience

Typically, a Senior-level/Expert Data Management Analyst is expected to have at least 5-10 years of experience in data analysis, data management, or a related field. This experience should include a proven track record of handling complex data projects, leading data teams, and implementing data-driven strategies. Experience with specific tools and technologies such as SQL, Python, R, and data visualization software is often required. Additionally, experience in a particular industry can be beneficial, as it provides context-specific insights and expertise.

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