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

Salary details

The average senior-level / expert Data Operations Analyst salary lies between USD 90,900 and USD 145,000 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: Nov. 17, 2024

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

The three most common job tag items assiciated with senior-level / expert Data Operations Analyst job listings are DataOps, SQL 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:

DataOps | 18 jobs SQL | 15 jobs Security | 10 jobs Data management | 9 jobs Tableau | 8 jobs Research | 8 jobs Excel | 8 jobs Computer Science | 8 jobs Data quality | 8 jobs Data analysis | 7 jobs AWS | 5 jobs Engineering | 5 jobs Agile | 5 jobs Data visualization | 5 jobs Statistics | 5 jobs Mathematics | 5 jobs Data governance | 5 jobs Python | 4 jobs Finance | 4 jobs Power BI | 4 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Operations Analyst job listings are Career development, Health care and Team events. 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 | 12 jobs Health care | 10 jobs Team events | 7 jobs Salary bonus | 7 jobs Flex hours | 6 jobs Competitive pay | 6 jobs Equity / stock options | 5 jobs Startup environment | 5 jobs 401(k) matching | 4 jobs Flex vacation | 4 jobs Insurance | 4 jobs Home office stipend | 4 jobs Wellness | 3 jobs Fitness / gym | 2 jobs Flexible spending account | 2 jobs Transparency | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Data Operations Analyst typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary is often the largest component, accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the total salary, depending on the company's performance and individual contributions. Additional remuneration, such as stock options, is more common in tech companies and startups, especially in regions like Silicon Valley. In larger corporations or financial institutions, profit-sharing or retirement contributions might be more prevalent. Regional differences also play a role; for instance, salaries in major tech hubs like San Francisco or New York are generally higher than in smaller cities.

Increasing Salary Potential

To increase your salary from this position, consider pursuing leadership roles such as Data Operations Manager or Director of Data Operations. These roles often come with higher compensation and greater responsibilities. Additionally, specializing in high-demand areas like machine learning, artificial intelligence, or big data analytics can make you more valuable. Networking within industry circles and attending conferences can also open up opportunities for higher-paying roles. Another strategy is to gain experience in different industries, as some sectors, like finance or healthcare, may offer higher salaries for data professionals.

Educational Requirements

Most Senior-level Data Operations Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Mathematics. However, a master's degree or even a Ph.D. can be advantageous, especially for roles that require advanced analytical skills or leadership capabilities. Some employers may also value degrees in business administration or engineering, particularly if the role involves managing teams or projects.

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 Data Analytics – Specialty
• SAS Certified Data Scientist

These certifications can help validate your skills and knowledge, making you a more competitive candidate for senior roles.

Required Experience

Typically, a Senior-level Data Operations Analyst is expected to have at least 5-10 years of experience in data analysis, data management, or a related field. Experience in leading projects, managing teams, or working with large datasets is often required. Familiarity with data warehousing, ETL processes, and data governance is also important. Experience in specific industries, such as finance, healthcare, or technology, can be beneficial, as it provides context and understanding of industry-specific data challenges.

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