Data Operations Analyst Salary in United States during 2024

Salary details

The average Data Operations Analyst salary lies between USD 75,000 and USD 110,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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 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 for a Data Operations Analyst

The salary for a Data Operations Analyst in the United States typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the most significant component, often accounting for 70-85% of the total compensation package. Bonuses can vary widely depending on the company and industry, ranging from 5-20% of the base salary. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement contributions, and paid time off.

Regional differences can also impact salary composition. For instance, positions in tech hubs like San Francisco or New York may offer higher base salaries and stock options to offset the higher cost of living. 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 salary composition as well, with larger companies typically offering more comprehensive benefits packages.

Steps to Increase Salary from a Data Operations Analyst Position

To increase your salary from a Data Operations Analyst position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in data analysis, machine learning, and programming languages like Python or R. Proficiency in data visualization tools such as Tableau or Power BI can also be beneficial.
• Advanced Education: Pursuing a master's degree in data science, computer science, or a related field can open up higher-paying opportunities.
• Certifications: Obtain relevant certifications to demonstrate your expertise and commitment to the field.
• Networking: Build a strong professional network by attending industry conferences, joining relevant online communities, and connecting with peers on platforms like LinkedIn.
• Performance Excellence: Consistently exceed performance expectations and take on additional responsibilities to position yourself for promotions or salary negotiations.
• Explore Opportunities: Consider roles in high-demand industries or regions where salaries are typically higher.

Educational Requirements for a Data Operations Analyst

Most Data Operations Analyst positions require at least a bachelor's degree in a relevant field such as data science, computer science, statistics, mathematics, or information technology. Some employers may prefer candidates with a master's degree, especially for more advanced roles. Coursework in data analysis, machine learning, database management, and programming is highly beneficial.

Helpful Certifications for a Data Operations Analyst

Certifications can enhance your qualifications 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 cover various aspects of data analysis, machine learning, and data management, providing a competitive edge in the job market.

Experience Requirements for a Data Operations Analyst

Typically, employers look for candidates with 2-5 years of experience in data analysis or a related field. Experience with data manipulation, statistical analysis, and data visualization is crucial. Familiarity with data management tools and programming languages is often required. Internships, co-op programs, or entry-level positions in data-related roles can provide valuable experience and help build a strong foundation for a career as a Data Operations Analyst.

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