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The differences between data process specialists and data specialists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both a data process specialist and a data specialist. Additionally, a data specialist has an average salary of $68,326, which is higher than the $48,604 average annual salary of a data process specialist.
The top three skills for a data process specialist include data entry, data management and data accuracy. The most important skills for a data specialist are data analysis, data entry, and data collection.
| Data Process Specialist | Data Specialist | |
| Yearly salary | $48,604 | $68,326 |
| Hourly rate | $23.37 | $32.85 |
| Growth rate | 10% | 9% |
| Number of jobs | 147,321 | 100,301 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 48% | Bachelor's Degree, 56% |
| Average age | 42 | 44 |
| Years of experience | 2 | 2 |
A data processing specialist is a data entry professional who specializes in collecting, interpreting, and organizing data according to company standards and policies. They usually work on spreadsheets, documents, databases, and presentations to arrange and convey data in an easy-to-understand format, all while adhering to deadlines. They may also conduct their own reviews and assessments to identify inconsistencies and errors, performing corrective measures right away. Moreover, a data processing specialist must maintain an open and transparent communication line with managers and co-workers for an efficient workflow.
A data specialist's role is to process data, transferring them into an electronic platform or database for record-keeping or creating systems. Their primary responsibility is to ensure the accuracy of every inputted data point and verify its authenticity by reaching out to clients or using specific software. There are also instances when they must perform various analyses or take part in different product development processes. Furthermore, it is crucial to be able to identify any anomalies or inconsistencies; this way, corrective measures can be quickly implemented.
Data process specialists and data specialists have different pay scales, as shown below.
| Data Process Specialist | Data Specialist | |
| Average salary | $48,604 | $68,326 |
| Salary range | Between $30,000 And $78,000 | Between $40,000 And $116,000 |
| Highest paying City | Baltimore, MD | San Francisco, CA |
| Highest paying state | New York | Connecticut |
| Best paying company | CAMRIS International, Inc. | McKinsey & Company Inc |
| Best paying industry | Government | Manufacturing |
There are a few differences between a data process specialist and a data specialist in terms of educational background:
| Data Process Specialist | Data Specialist | |
| Most common degree | Bachelor's Degree, 48% | Bachelor's Degree, 56% |
| Most common major | Business | Business |
| Most common college | Stanford University | - |
Here are the differences between data process specialists' and data specialists' demographics:
| Data Process Specialist | Data Specialist | |
| Average age | 42 | 44 |
| Gender ratio | Male, 36.6% Female, 63.4% | Male, 40.6% Female, 59.4% |
| Race ratio | Black or African American, 12.1% Unknown, 5.3% Hispanic or Latino, 15.2% Asian, 10.6% White, 56.4% American Indian and Alaska Native, 0.4% | Black or African American, 9.6% Unknown, 4.3% Hispanic or Latino, 19.5% Asian, 9.9% White, 56.0% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 11% | 5% |