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The differences between data miners and front office assistants can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a data miner, becoming a front office assistant takes usually requires 1-2 years. Additionally, a data miner has an average salary of $80,042, which is higher than the $32,913 average annual salary of a front office assistant.
The top three skills for a data miner include python, R and ETL. The most important skills for a front office assistant are patients, customer service, and excellent interpersonal.
| Data Miner | Front Office Assistant | |
| Yearly salary | $80,042 | $32,913 |
| Hourly rate | $38.48 | $15.82 |
| Growth rate | 19% | -5% |
| Number of jobs | 68,035 | 149,847 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 24% |
| Average age | 44 | 47 |
| Years of experience | 4 | 2 |
Data miners and front office assistants have different pay scales, as shown below.
| Data Miner | Front Office Assistant | |
| Average salary | $80,042 | $32,913 |
| Salary range | Between $54,000 And $118,000 | Between $26,000 And $40,000 |
| Highest paying City | San Mateo, CA | Washington, DC |
| Highest paying state | California | Connecticut |
| Best paying company | Oracle | University of California, Berkeley |
| Best paying industry | Real Estate | Health Care |
There are a few differences between a data miner and a front office assistant in terms of educational background:
| Data Miner | Front Office Assistant | |
| Most common degree | Bachelor's Degree, 65% | Bachelor's Degree, 24% |
| Most common major | Business | Medical Assisting Services |
| Most common college | Stanford University | University of Pennsylvania |
Here are the differences between data miners' and front office assistants' demographics:
| Data Miner | Front Office Assistant | |
| Average age | 44 | 47 |
| Gender ratio | Male, 60.1% Female, 39.9% | Male, 9.7% Female, 90.3% |
| Race ratio | Black or African American, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% American Indian and Alaska Native, 0.5% | Black or African American, 10.1% Unknown, 4.5% Hispanic or Latino, 23.7% Asian, 7.5% White, 53.3% American Indian and Alaska Native, 0.9% |
| LGBT Percentage | 11% | 6% |