The bigger the business, the more paperwork it's going to generate. In order to do something with all the data contained on paper forms, businesses need a way to get the information into their computer systems. To make this happen, organizations turn to data processor workers to transfer analog information that's on paper into digital data.
Data processors spend the majority of their day inputting various company data into computers. This data can originate on paper forms, such as invoices, or it could be electronic, such as email. The data processor first checks the data contained in the form to make sure it's complete and that required information isn't missing. She then enters this data into a system. This can take the form of a text document such as Microsoft Word, a database system like Microsoft Access, an online web management system such as Salesforce, or propriety software specifically written for the organization.
Skills and Experience
A successful data processor pays great attention to detail. She should be able to spot incorrect data before it's enters into the system. One of the most important skills that a data processor should have is touch typing. Requirements vary from organization to organization, but a typing speed of at least 40 to 60 words per minute is usually a prerequisite for most data processing positions. Reading and writing instructions is a necessary skill for data processors, and a majority of job positions require at least a high school education.
Data processors work in an office environment. Typically, they spend their day in front of the computer inputting data. Some data processors may experience repetitive strain injuries because of the nature of the work. It's important to have a properly adjusted chair, desk and workstation to help alleviate this problem. Some processors may also experience eye strain from looking at a computer screen for long periods of time.
Salary and Outlook
The U.S. Bureau of Labor Statistics reported that in May 2016, data processors had a median salary of $30,100. The job market between is expected to shrink by about 4 percent, which is below the national average. This is largely due to increased data automation in computer systems.