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The differences between machining engineers and data analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 4-6 years to become a machining engineer, becoming a data analyst takes usually requires 2-4 years. Additionally, a machining engineer has an average salary of $123,716, which is higher than the $74,342 average annual salary of a data analyst.
The top three skills for a machining engineer include python, java and tensorflow. The most important skills for a data analyst are data analysis, python, and power bi.
| Machining Engineer | Data Analyst | |
| Yearly salary | $123,716 | $74,342 |
| Hourly rate | $59.48 | $35.74 |
| Growth rate | 2% | 11% |
| Number of jobs | 93,823 | 167,520 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 53% | Bachelor's Degree, 65% |
| Average age | 41 | 44 |
| Years of experience | 6 | 4 |
A machining engineer specializes in designing and developing new tools and mechanical equipment, even analyzing and improving designs to ensure efficiency. Their responsibilities revolve around overseeing and participating in installing, repairing, and maintaining different systems, coordinating with other engineers, and conducting regular inspections to monitor a machines' quality. It is also essential to address any issues or concerns, performing corrective measures right away. Furthermore, should a machining engineer work for a company, it is necessary to adhere to its policies and regulations.
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.
Machining engineers and data analysts have different pay scales, as shown below.
| Machining Engineer | Data Analyst | |
| Average salary | $123,716 | $74,342 |
| Salary range | Between $83,000 And $182,000 | Between $53,000 And $103,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | California | New Jersey |
| Best paying company | Airbnb | The Citadel |
| Best paying industry | Start-up | Finance |
There are a few differences between a machining engineer and a data analyst in terms of educational background:
| Machining Engineer | Data Analyst | |
| Most common degree | Bachelor's Degree, 53% | Bachelor's Degree, 65% |
| Most common major | Electrical Engineering | Business |
| Most common college | Massachusetts Institute of Technology | Northwestern University |
Here are the differences between machining engineers' and data analysts' demographics:
| Machining Engineer | Data Analyst | |
| Average age | 41 | 44 |
| Gender ratio | Male, 93.5% Female, 6.5% | Male, 50.2% Female, 49.8% |
| Race ratio | Black or African American, 3.4% Unknown, 4.6% Hispanic or Latino, 9.1% Asian, 14.9% White, 68.0% American Indian and Alaska Native, 0.1% | 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 | 5% | 12% |