Data Operations Associate Salary in United States during 2024

Salary details

The average Data Operations Associate salary lies between USD 65,000 and USD 91,900 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: Dec. 15, 2024

Top 20 Job Tags for Data Operations Associate roles

The three most common job tag items assiciated with Data Operations Associate job listings are DataOps, Excel and Research. 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 | 47 jobs Excel | 30 jobs Research | 29 jobs SQL | 20 jobs Data quality | 18 jobs Business Intelligence | 13 jobs Finance | 10 jobs Power BI | 10 jobs Python | 9 jobs Data analysis | 9 jobs Engineering | 7 jobs Banking | 7 jobs Data management | 7 jobs Tableau | 6 jobs Security | 6 jobs Testing | 5 jobs Computer Science | 5 jobs Salesforce | 5 jobs R | 4 jobs Big Data | 4 jobs

Top 20 Job Perks/Benefits for Data Operations Associate roles

The three most common job benefits and perks assiciated with Data Operations Associate job listings are Career development, Health care and Equity / stock options. 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 | 33 jobs Health care | 22 jobs Equity / stock options | 21 jobs Team events | 19 jobs Salary bonus | 17 jobs Wellness | 15 jobs Medical leave | 11 jobs Home office stipend | 11 jobs Paid sabbatical | 10 jobs Parental leave | 8 jobs Competitive pay | 8 jobs 401(k) matching | 6 jobs Flex hours | 6 jobs Startup environment | 6 jobs Flex vacation | 5 jobs Fitness / gym | 3 jobs Unlimited paid time off | 3 jobs Transparency | 2 jobs Insurance | 2 jobs Signing bonus | 1 jobs

Salary Composition

The salary for a Data Operations Associate in the AI/ML/Data Science field typically consists of a base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 5% to 20% of the base salary. Additional remuneration, like stock options, is more common in tech companies, especially startups, and can be a significant part of the compensation in larger tech hubs like Silicon Valley. The composition can also vary by region, with higher base salaries and bonuses in metropolitan areas with a high cost of living. Industry and company size also play a role; larger companies or those in high-demand sectors may offer more competitive packages.

Steps to Increase Salary

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

• Skill Enhancement: Continuously upgrade your technical skills, especially in programming languages like Python or R, and tools like SQL, Hadoop, or Spark.
• Advanced Education: Pursue further education, such as a master's degree in data science, computer science, or a related field.
• Certifications: Obtain relevant certifications that can enhance your expertise and marketability.
• Networking: Build a strong professional network to learn about new opportunities and industry trends.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions or raises.
• Industry Transition: Consider moving to industries that pay higher salaries for data roles, such as finance or tech.

Educational Requirements

Most Data Operations Associate positions require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, or information technology. Some employers 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 programming and data manipulation.

Helpful Certifications

Several certifications can be beneficial for a Data Operations Associate role:

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

These certifications demonstrate a commitment to the field and a recognized level of expertise, which can be advantageous in job applications and salary negotiations.

Required Experience

Typically, employers look for candidates with 1-3 years of experience in data-related roles. This experience can include internships, co-op positions, or full-time roles in data analysis, data management, or related fields. Experience with data visualization tools, data cleaning, and data warehousing is often required. Familiarity with machine learning concepts and tools can also be beneficial, even if the role is more operational than analytical.

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