Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
The differences between data assistants and data analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a data assistant, becoming a data analyst takes usually requires 2-4 years. Additionally, a data analyst has an average salary of $74,342, which is higher than the $34,431 average annual salary of a data assistant.
The top three skills for a data assistant include data entry, data collection and patients. The most important skills for a data analyst are data analysis, python, and power bi.
| Data Assistant | Data Analyst | |
| Yearly salary | $34,431 | $74,342 |
| Hourly rate | $16.55 | $35.74 |
| Growth rate | -5% | 11% |
| Number of jobs | 78,545 | 167,520 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 63% | Bachelor's Degree, 65% |
| Average age | 44 | 44 |
| Years of experience | 2 | 4 |
A data assistant's role is to perform support tasks in data management procedures. Their responsibilities often revolve around coordinating with different departments to gather data, maintaining and updating databases, processing and organizing documentation, preparing progress reports, and analyzing data as needed. They may also participate in devising strategies to optimize data management operations. Furthermore, a data assistant must also monitor the operations of databases, performing regular maintenance checks, and reporting to the information technology department should there be any issues and concerns.
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.
Data assistants and data analysts have different pay scales, as shown below.
| Data Assistant | Data Analyst | |
| Average salary | $34,431 | $74,342 |
| Salary range | Between $20,000 And $57,000 | Between $53,000 And $103,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | California | New Jersey |
| Best paying company | DLA Piper | The Citadel |
| Best paying industry | Manufacturing | Finance |
There are a few differences between a data assistant and a data analyst in terms of educational background:
| Data Assistant | Data Analyst | |
| Most common degree | Bachelor's Degree, 63% | Bachelor's Degree, 65% |
| Most common major | Business | Business |
| Most common college | - | Northwestern University |
Here are the differences between data assistants' and data analysts' demographics:
| Data Assistant | Data Analyst | |
| Average age | 44 | 44 |
| Gender ratio | Male, 36.6% Female, 63.4% | Male, 50.2% Female, 49.8% |
| Race ratio | Black or African American, 9.4% Unknown, 4.3% Hispanic or Latino, 20.1% Asian, 11.1% White, 54.5% American Indian and Alaska Native, 0.6% | 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% |