Data Operations Specialist Salary in United States during 2024

Salary details

The average Data Operations Specialist salary lies between USD 70,000 and USD 132,500 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. 24, 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 management. 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 | 74 jobs Excel | 30 jobs Data management | 29 jobs Data quality | 28 jobs SQL | 26 jobs Python | 18 jobs Computer Science | 18 jobs Engineering | 17 jobs Research | 16 jobs Pipelines | 15 jobs Security | 14 jobs Finance | 12 jobs Data governance | 11 jobs Privacy | 11 jobs Salesforce | 11 jobs Data pipelines | 10 jobs Data analysis | 10 jobs Machine Learning | 9 jobs Architecture | 9 jobs FinTech | 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 | 35 jobs Health care | 21 jobs Flex hours | 18 jobs Startup environment | 14 jobs Competitive pay | 12 jobs Team events | 11 jobs 401(k) matching | 10 jobs Flex vacation | 10 jobs Parental leave | 9 jobs Equity / stock options | 7 jobs Insurance | 7 jobs Medical leave | 6 jobs Salary bonus | 6 jobs Fitness / gym | 4 jobs Unlimited paid time off | 4 jobs Wellness | 2 jobs Flexible spending account | 2 jobs Conferences | 1 jobs Snacks / Drinks | 1 jobs Yoga | 1 jobs

Salary Composition for a Data Operations Specialist

The salary for a Data Operations Specialist in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the majority of the total compensation package. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might be more prevalent, whereas in other regions, the base salary might be more dominant. Larger companies or those in high-demand industries like tech or finance may offer more competitive packages, including higher bonuses and additional perks such as health benefits, retirement plans, and professional development opportunities.

Steps to Increase Salary from a Data Operations Specialist Position

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

• Skill Enhancement: Continuously upgrade your skills in data analysis, machine learning, and data management tools. Proficiency in programming languages like Python or R, and familiarity with big data technologies like Hadoop or Spark, can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications in data science or machine learning can open up higher-paying roles.
• Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
• Performance Excellence: Consistently exceed performance expectations and take on additional responsibilities to demonstrate your value to the organization.
• Negotiation: When the opportunity arises, negotiate your salary based on your contributions, market research, and industry standards.

Educational Requirements for a Data Operations Specialist

Most Data Operations Specialist roles require at least a bachelor's degree in a related field such as computer science, information technology, data science, or statistics. Some positions may prefer candidates with a master's degree, especially for roles that involve more complex data analysis or management responsibilities. A strong foundation in mathematics and statistics is often essential, as is proficiency in data management and analysis tools.

Helpful Certifications for a Data Operations Specialist

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Data Management Professional (CDMP)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Data Analytics – Specialty
• SAS Certified Data Scientist

These certifications can validate your skills in data management, cloud platforms, and data analysis, making you a more competitive candidate.

Experience Requirements for a Data Operations Specialist

Typically, employers look for candidates with 2-5 years of experience in data operations, data analysis, or a related field. Experience with data management systems, data warehousing, and data visualization tools is often required. Practical experience in handling large datasets, optimizing data processes, and collaborating with cross-functional teams is highly valued.

Related salaries

Want to contribute?