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The differences between data reviewers 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 reviewer and a data specialist. Additionally, a data specialist has an average salary of $68,326, which is higher than the $53,266 average annual salary of a data reviewer.
The top three skills for a data reviewer include GMP, FDA and QA. The most important skills for a data specialist are data analysis, data entry, and data collection.
A data reviewer is responsible for reviewing data to ensure accuracy, taking corrective measures on any inconsistencies or errors. Although some of their tasks may vary upon their industry or company of employment, it usually includes interpreting data, organizing information, adhering to deadlines and guidelines, producing reports and presentations, and even populating spreadsheets when necessary. In some industries, a data reviewer works with a team in developing strategies to optimize database systems and training new data reviewers.
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 reviewers and data specialists have different pay scales, as shown below.
| Data Reviewer | Data Specialist | |
| Average salary | $53,266 | $68,326 |
| Salary range | Between $38,000 And $74,000 | Between $40,000 And $116,000 |
| Highest paying City | Waukegan, IL | San Francisco, CA |
| Highest paying state | Alaska | Connecticut |
| Best paying company | Biogen | McKinsey & Company Inc |
| Best paying industry | Pharmaceutical | Manufacturing |
There are a few differences between a data reviewer and a data specialist in terms of educational background:
| Data Reviewer | Data Specialist | |
| Most common degree | Bachelor's Degree, 58% | Bachelor's Degree, 56% |
| Most common major | Chemistry | Business |
| Most common college | - | - |
Here are the differences between data reviewers' and data specialists' demographics:
| Data Reviewer | Data Specialist | |
| Average age | 44 | 44 |
| Gender ratio | Male, 29.7% Female, 70.3% | Male, 40.6% Female, 59.4% |
| Race ratio | Black or African American, 9.7% Unknown, 4.3% Hispanic or Latino, 19.3% Asian, 10.5% White, 55.6% American Indian and Alaska Native, 0.6% | 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 | 5% | 5% |