Data Operations Analyst Salary in 2024

Salary details

The average Data Operations Analyst salary lies between USD 75,000 and USD 114,000 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

Salary trend

Top 20 Job Tags for Data Operations Analyst roles

The three most common job tag items assiciated with Data Operations Analyst job listings are DataOps, SQL 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 | 140 jobs SQL | 85 jobs Data quality | 57 jobs Excel | 55 jobs Engineering | 48 jobs Data analysis | 48 jobs Data management | 45 jobs Python | 43 jobs Computer Science | 40 jobs Testing | 34 jobs Security | 32 jobs Finance | 31 jobs Research | 28 jobs Tableau | 27 jobs Data governance | 27 jobs Economics | 26 jobs Salesforce | 23 jobs R | 19 jobs ETL | 19 jobs Jira | 19 jobs

Top 20 Job Perks/Benefits for Data Operations Analyst roles

The three most common job benefits and perks assiciated with Data Operations Analyst 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 | 98 jobs Health care | 67 jobs Flex hours | 51 jobs Startup environment | 29 jobs Flex vacation | 28 jobs Team events | 23 jobs Insurance | 21 jobs Salary bonus | 19 jobs Equity / stock options | 18 jobs Competitive pay | 18 jobs Wellness | 14 jobs Medical leave | 9 jobs 401(k) matching | 8 jobs Home office stipend | 7 jobs Parental leave | 6 jobs Fitness / gym | 5 jobs Transparency | 3 jobs Flexible spending account | 3 jobs Relocation support | 2 jobs Yoga | 2 jobs

Salary Composition

The salary for a Data Operations Analyst in AI/ML/Data Science typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on 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 5% to 20% of the base salary. Larger companies or those in the tech industry might offer stock options or equity as part of the compensation package, which can be a significant addition to the overall remuneration.

Career Advancement

To increase your salary from the Data Operations Analyst position, consider pursuing advanced roles such as Data Scientist, Machine Learning Engineer, or Data Engineer. Gaining expertise in specialized areas like deep learning, natural language processing, or big data analytics can make you more valuable. Additionally, taking on leadership roles or managing projects can demonstrate your ability to handle more responsibility, which can lead to promotions and salary increases. Networking within the industry and staying updated with the latest trends and technologies can also open up new opportunities.

Educational Requirements

Most Data Operations Analyst positions require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. Some roles may prefer or require a master's degree, especially in more competitive markets or for positions with a focus on advanced analytics or machine learning. A strong foundation in programming, data analysis, and statistical methods is essential.

Helpful Certifications

Certifications can enhance your qualifications and demonstrate your commitment to professional development. 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 validate your skills and knowledge, making you a more attractive candidate for higher-paying roles.

Experience Requirements

Typically, a Data Operations Analyst role requires 2-5 years of experience in data analysis, data management, or a related field. Experience with data visualization tools, databases, and programming languages like Python or R is often necessary. Familiarity with machine learning frameworks and cloud platforms can also be beneficial. Employers look for candidates who have demonstrated the ability to work with large datasets and derive actionable insights.

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