Data Operations Specialist Salary in 2024

Salary details

The average Data Operations Specialist salary lies between USD 70,000 and USD 132,500 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: Dec. 15, 2024

Top 20 Job Tags for Data Operations Specialist roles

The three most common job tag items assiciated with Data Operations Specialist job listings are DataOps, 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:

DataOps | 81 jobs Excel | 35 jobs Data quality | 30 jobs Data management | 29 jobs SQL | 27 jobs Computer Science | 20 jobs Python | 18 jobs Research | 18 jobs Engineering | 17 jobs Pipelines | 15 jobs Security | 14 jobs Finance | 12 jobs Data governance | 12 jobs Data analysis | 11 jobs Privacy | 11 jobs Salesforce | 11 jobs Machine Learning | 10 jobs Data Analytics | 10 jobs Data pipelines | 10 jobs Power BI | 9 jobs

Top 20 Job Perks/Benefits for Data Operations Specialist roles

The three most common job benefits and perks assiciated with Data Operations Specialist 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 | 38 jobs Health care | 21 jobs Flex hours | 19 jobs Startup environment | 15 jobs Competitive pay | 13 jobs Flex vacation | 11 jobs Team events | 11 jobs 401(k) matching | 10 jobs Parental leave | 9 jobs Equity / stock options | 7 jobs Medical leave | 7 jobs Insurance | 7 jobs Salary bonus | 6 jobs Fitness / gym | 4 jobs Unlimited paid time off | 4 jobs Wellness | 3 jobs Flexible spending account | 2 jobs Conferences | 1 jobs Snacks / Drinks | 1 jobs Yoga | 1 jobs

Salary Composition

The salary for a Data Operations Specialist in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly based on the company's performance and individual achievements, usually ranging from 10-20% of the total salary. Additional remuneration, such as stock options, health benefits, and retirement contributions, can make up the remaining 5-10%.

Regional differences play a significant role in salary composition. For instance, positions in tech hubs like Silicon Valley or New York may offer higher base salaries and stock options due to the competitive market. Industry also affects salary composition; tech companies might offer more in stock options, while finance or healthcare sectors might provide higher bonuses. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and smaller startups offering equity as a significant part of the compensation.

Increasing Salary

To increase your salary from the position of a Data Operations Specialist, consider the following steps:

• Skill Enhancement: Continuously upgrade your technical skills, especially in emerging AI/ML technologies and tools. Proficiency in programming languages like Python or R, and expertise in data visualization tools, can make you more valuable.

• Advanced Education: Pursuing a master's degree or specialized courses in data science or machine learning can open up higher-paying opportunities.

• Certifications: Obtaining relevant certifications can demonstrate your commitment and expertise, potentially leading to salary increases.

• Networking: Building a strong professional network can lead to new opportunities and insights into higher-paying roles.

• Performance Excellence: Consistently exceeding performance expectations can position you for promotions and salary negotiations.

Educational Requirements

Most Data Operations Specialist roles require at least a bachelor's degree in a related field such as Computer Science, Data Science, Statistics, or Information Technology. Some positions may prefer candidates with a master's degree, especially for roles that involve more complex data analysis and machine learning tasks. A strong foundation in mathematics and statistics is often essential, as these skills are critical for data analysis and interpretation.

Helpful Certifications

Several certifications can be beneficial for a Data Operations Specialist:

• Certified Data Professional (CDP): Offers a broad understanding of data management and analytics.

• Google Data Analytics Professional Certificate: Provides practical skills in data analysis using Google tools.

• Microsoft Certified: Azure Data Scientist Associate: Focuses on applying data science techniques on the Azure platform.

• AWS Certified Data Analytics – Specialty: Validates expertise in using AWS data lakes and analytics services.

These certifications can enhance your resume and demonstrate your commitment to staying current in the field.

Experience Requirements

Typically, a Data Operations Specialist role requires 2-5 years of experience in data-related positions. Experience in data analysis, database management, and familiarity with data warehousing solutions is often expected. Experience with specific tools and technologies, such as SQL, Python, R, and data visualization software, is also commonly required. Prior experience in a similar industry or with similar data types can be advantageous.

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