Salary for Mid-level / Intermediate Data Operations Specialist during 2024

Salary details

The average mid-level / intermediate Data Operations Specialist salary lies between USD 70,000 and USD 103,000 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: Dec. 22, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Data Operations Specialist job listings are DataOps, Data quality 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 | 37 jobs Data quality | 20 jobs SQL | 18 jobs Python | 16 jobs Data management | 15 jobs Security | 13 jobs Computer Science | 13 jobs Pipelines | 10 jobs Machine Learning | 9 jobs Research | 9 jobs Linux | 8 jobs Excel | 8 jobs Privacy | 8 jobs Open Source | 7 jobs Engineering | 7 jobs Data pipelines | 7 jobs Azure | 7 jobs Data Analytics | 6 jobs RDBMS | 6 jobs Data governance | 6 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Data Operations Specialist job listings are Career development, Health care and Competitive pay. 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 | 14 jobs Health care | 11 jobs Competitive pay | 7 jobs Flex hours | 6 jobs Team events | 6 jobs Insurance | 6 jobs 401(k) matching | 5 jobs Flex vacation | 5 jobs Startup environment | 5 jobs Medical leave | 5 jobs Parental leave | 4 jobs Wellness | 3 jobs Equity / stock options | 2 jobs Flexible spending account | 2 jobs Fitness / gym | 1 jobs Conferences | 1 jobs Salary bonus | 1 jobs

Salary Composition

The salary for a Mid-level Data Operations Specialist typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The fixed base salary often constitutes the majority of the total compensation package, usually around 70-80%. Bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the total salary. Additional remuneration, such as stock options, health benefits, and retirement contributions, can make up the remaining 5-10%.

Regional differences also play a significant role; for instance, salaries in tech hubs like San Francisco or New York might be higher due to the cost of living and demand for skilled professionals. Similarly, larger companies or those in high-demand industries like finance or technology may offer more competitive compensation packages compared to smaller firms or those in less lucrative sectors.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and data science. Proficiency in programming languages like Python or R, and experience with data visualization tools can be advantageous.

• Advanced Education: Pursuing a master's degree or specialized courses in data science, machine learning, or business analytics can make you more competitive for higher-paying roles.

• Networking: Engage with professional networks and communities. Attending industry conferences, webinars, and meetups can open up opportunities for career advancement.

• Performance Excellence: Consistently exceed performance expectations in your current role. Demonstrating leadership and taking on additional responsibilities can position you for promotions and salary increases.

Educational Requirements

Most Mid-level Data Operations Specialist roles require at least a bachelor's degree in a related field such as computer science, data science, statistics, or information technology. Some positions may prefer candidates with a master's degree, especially in competitive markets or industries. A strong foundation in mathematics and statistics is often essential, along with coursework in data management and analysis.

Helpful Certifications

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

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

These certifications can validate your skills and knowledge, making you a more attractive candidate for higher-level positions.

Experience Requirements

Typically, a Mid-level Data Operations Specialist is expected to have 3-5 years of relevant experience. This experience should include hands-on work with data management, analysis, and operations. Familiarity with data warehousing, ETL processes, and data governance is often required. Experience in a specific industry, such as finance, healthcare, or technology, can also be beneficial.

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