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

Salary details

The average senior-level / expert Data Operations Specialist salary lies between USD 55,720 and USD 121,500 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 Specialist roles

The three most common job tag items assiciated with senior-level / expert Data Operations Specialist job listings are DataOps, Engineering and Excel. 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 | 13 jobs Engineering | 7 jobs Excel | 6 jobs SQL | 5 jobs Computer Science | 5 jobs Research | 4 jobs Consulting | 4 jobs Finance | 4 jobs Architecture | 4 jobs Pipelines | 4 jobs Data management | 4 jobs Looker | 3 jobs Data analysis | 3 jobs Salesforce | 3 jobs Python | 2 jobs R | 2 jobs ETL | 2 jobs AWS | 2 jobs Scrum | 2 jobs Power BI | 2 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Data Operations Specialist job listings are Career development, Flex hours and Health care. 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 | 7 jobs Flex hours | 6 jobs Health care | 5 jobs Equity / stock options | 3 jobs Flex vacation | 3 jobs Team events | 3 jobs 401(k) matching | 2 jobs Competitive pay | 2 jobs Unlimited paid time off | 2 jobs Parental leave | 1 jobs Fitness / gym | 1 jobs Startup environment | 1 jobs Snacks / Drinks | 1 jobs Yoga | 1 jobs Medical leave | 1 jobs Insurance | 1 jobs Salary bonus | 1 jobs

Salary Composition for a Senior-level Data Operations Specialist

The salary for a Senior-level Data Operations Specialist typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive market. Bonuses are often tied to individual or company performance and can range from 10% to 20% of the base salary. In larger companies, additional remuneration might include stock options, profit-sharing, or comprehensive benefits packages, whereas smaller companies might offer more flexible working conditions or other perks.

Steps to Increase Salary from This Position

To increase your salary from a Senior-level Data Operations Specialist position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML and data science. Specializing in niche areas can make you more valuable.
• Leadership Roles: Transition into leadership or managerial roles, such as a Data Operations Manager or Director, which typically offer higher salaries.
• Industry Shift: Consider moving to industries that pay higher for data operations roles, such as finance, healthcare, or tech.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into salary trends.
• Negotiation: Improve your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.

Educational Requirements

Most Senior-level Data Operations Specialist roles require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Statistics, or Engineering. A master's degree or Ph.D. can be advantageous, especially for roles in research-intensive industries or companies. Advanced degrees often provide a deeper understanding of complex data systems and analytical techniques, which can be crucial for senior-level positions.

Helpful Certifications

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

• Certified Data Management Professional (CDMP)
• Google Professional Data Engineer
• AWS Certified Big Data – Specialty
• Microsoft Certified: Azure Data Scientist Associate
• Cloudera Certified Data Analyst

These certifications can help you stand out in the job market and may lead to higher salary offers.

Experience Requirements

Typically, a Senior-level Data Operations Specialist is expected to have 5-10 years of experience in data-related roles. This experience should include hands-on work with data management, data analysis, and data operations. Experience in leading projects, managing teams, and working with large-scale data systems is often required. Familiarity with industry-specific data challenges can also be beneficial.

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