Salary for Mid-level / Intermediate Data Operations Associate in United States during 2024

Salary details

The average mid-level / intermediate Data Operations Associate salary lies between USD 75,000 and USD 93,000 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: Dec. 22, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Operations Associate roles

The three most common job tag items assiciated with mid-level / intermediate Data Operations Associate job listings are DataOps, Excel and SQL. 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 | 30 jobs Excel | 16 jobs SQL | 15 jobs Data quality | 15 jobs Research | 13 jobs Banking | 8 jobs Tableau | 7 jobs Data analysis | 6 jobs Python | 5 jobs R | 5 jobs Engineering | 5 jobs Finance | 5 jobs Testing | 5 jobs Data management | 5 jobs Big Data | 4 jobs Spark | 4 jobs Business Intelligence | 4 jobs Statistics | 4 jobs Computer Science | 4 jobs RDBMS | 4 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Operations Associate roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 18 jobs Health care | 11 jobs Equity / stock options | 9 jobs Team events | 8 jobs Competitive pay | 6 jobs Salary bonus | 6 jobs Flex hours | 5 jobs Startup environment | 5 jobs Flex vacation | 4 jobs Wellness | 4 jobs Fitness / gym | 3 jobs Parental leave | 2 jobs Transparency | 2 jobs Insurance | 2 jobs Unlimited paid time off | 2 jobs 401(k) matching | 1 jobs Signing bonus | 1 jobs Snacks / Drinks | 1 jobs Medical leave | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary for a Mid-level Data Operations Associate in the AI/ML/Data Science field typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off.

The composition can vary based on several factors:

• Region: Salaries in tech hubs like San Francisco, New York, or Seattle tend to be higher due to the cost of living and demand for skilled professionals.
• Industry: Tech companies often offer higher salaries and more stock options compared to other industries like finance or healthcare.
• Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might offer more equity as part of the compensation package.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in emerging technologies and tools relevant to AI/ML and data science. This could include learning new programming languages, mastering data visualization tools, or gaining expertise in cloud computing.
• Advanced Education: Pursuing a master's degree or specialized certifications can make you more competitive and open up higher-paying roles.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms like LinkedIn. Networking can lead to new opportunities and insights into higher-paying roles.
• Performance Excellence: Consistently exceed performance expectations in your current role to position yourself for promotions and salary increases.
• Negotiation Skills: Develop strong negotiation skills to effectively advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most mid-level data operations roles require at least a bachelor's degree in a related field such as computer science, data science, statistics, or engineering. Some positions may prefer or require a master's degree, especially in more competitive markets or specialized roles. A strong foundation in mathematics and statistics is often essential, along with proficiency in programming languages like Python or R.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable certifications include:

• Certified Data Professional (CDP)
• 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-level positions.

Required Experience

Typically, a mid-level data operations associate role requires 2-5 years of experience in data-related positions. This experience should include hands-on work with data analysis, data management, and familiarity with data processing tools and platforms. Experience in project management and collaboration with cross-functional teams is also beneficial.

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