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The differences between devops engineers and data analysts can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a devops engineer and a data analyst. Additionally, a devops engineer has an average salary of $104,019, which is higher than the $74,342 average annual salary of a data analyst.
The top three skills for a devops engineer include python, docker and java. The most important skills for a data analyst are data analysis, python, and power bi.
| Devops Engineer | Data Analyst | |
| Yearly salary | $104,019 | $74,342 |
| Hourly rate | $50.01 | $35.74 |
| Growth rate | 21% | 11% |
| Number of jobs | 257,025 | 167,520 |
| Job satisfaction | 5 | - |
| Most common degree | Bachelor's Degree, 75% | Bachelor's Degree, 65% |
| Average age | 39 | 44 |
| Years of experience | 4 | 4 |
DevOps engineers are practitioners of DevOps, a software development strategy that aims to bridge the gap between computer software development and information technology (IT) operations. They work closely with computer software developers and other IT staff to manage code deployments and releases. Their duties include overseeing the IT infrastructure supporting software code in different environments, choosing a suitable deployment model, and directing testing protocol needed to validate releases. Other tasks they may likely perform include preparing test data, analyzing results, and troubleshooting issues and problems.
Data analysts are responsible for interpreting the company's statistics and providing sound recommendations to the organization. They manage the organization's data sets, usually related to market performance, finance, or human resources. They are in charge of studying the available data, spotting trends, interpreting what the data and the trends mean, and recommending suggestions that will help the organization perform better. Their recommendations should also be relevant and backed up with strong analyses. Data analysts are expected to have a good grasp of the current market trends in the industry.
Devops engineers and data analysts have different pay scales, as shown below.
| Devops Engineer | Data Analyst | |
| Average salary | $104,019 | $74,342 |
| Salary range | Between $80,000 And $135,000 | Between $53,000 And $103,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | California | New Jersey |
| Best paying company | The Citadel | The Citadel |
| Best paying industry | Start-up | Finance |
There are a few differences between a devops engineer and a data analyst in terms of educational background:
| Devops Engineer | Data Analyst | |
| Most common degree | Bachelor's Degree, 75% | Bachelor's Degree, 65% |
| Most common major | Computer Science | Business |
| Most common college | Massachusetts Institute of Technology | Northwestern University |
Here are the differences between devops engineers' and data analysts' demographics:
| Devops Engineer | Data Analyst | |
| Average age | 39 | 44 |
| Gender ratio | Male, 86.2% Female, 13.8% | Male, 50.2% Female, 49.8% |
| Race ratio | Black or African American, 4.6% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 29.8% White, 52.2% American Indian and Alaska Native, 0.2% | Black or African American, 7.5% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.5% White, 64.9% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 8% | 12% |