Data conversion operator vs data entry processor

The differences between data conversion operators and data entry processors 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 conversion operator and a data entry processor. Additionally, a data conversion operator has an average salary of $36,140, which is higher than the $32,567 average annual salary of a data entry processor.

The top three skills for a data conversion operator include data entry, computer system and error rate. The most important skills for a data entry processor are data entry system, computer database, and laboratory specimens.

Data conversion operator vs data entry processor overview

	Data Conversion Operator	Data Entry Processor
Yearly salary	$36,140	$32,567
Hourly rate	$17.38	$15.66
Growth rate	-	-8%
Number of jobs	91,671	83,470
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 38%	Bachelor's Degree, 30%
Average age	44	44
Years of experience	2	2

Data conversion operator vs data entry processor salary

Data conversion operators and data entry processors have different pay scales, as shown below.

	Data Conversion Operator	Data Entry Processor
Average salary	$36,140	$32,567
Salary range	Between $24,000 And $54,000	Between $27,000 And $39,000
Highest paying City	-	Chicago, IL
Highest paying state	-	Alaska
Best paying company	-	Cognizant
Best paying industry	-	Insurance

Differences between data conversion operator and data entry processor education

There are a few differences between a data conversion operator and a data entry processor in terms of educational background:

	Data Conversion Operator	Data Entry Processor
Most common degree	Bachelor's Degree, 38%	Bachelor's Degree, 30%
Most common major	Business	Business
Most common college	-	-

Data conversion operator vs data entry processor demographics

Here are the differences between data conversion operators' and data entry processors' demographics:

	Data Conversion Operator	Data Entry Processor
Average age	44	44
Gender ratio	Male, 27.2% Female, 72.8%	Male, 22.9% Female, 77.1%
Race ratio	Black or African American, 7.6% Unknown, 4.6% Hispanic or Latino, 18.6% Asian, 7.9% White, 60.4% American Indian and Alaska Native, 0.8%	Black or African American, 9.8% Unknown, 4.7% Hispanic or Latino, 21.5% Asian, 8.4% White, 54.8% American Indian and Alaska Native, 0.8%
LGBT Percentage	5%	5%

Differences between data conversion operator and data entry processor duties and responsibilities

Data conversion operator example responsibilities.

Manage and prepare pharmaceutical records for multiple FDA audits.
Key at over 7,000 ksph.
Exceed all minimum keying requirements to obtain top DCO ranking.
Administer disciplinary actions as required and DCO's time keeping.
Peruse PC mail image for request address information and convert to code.
Maintain over 12,00 ksph with 99 percent accuracy, verify by weekly audits.

Data entry processor example responsibilities.

Complete all data entry necessary to fulfill regulatory requirements for HIPPA.
Key dental claims, pharmacy claims, VA claims, and Medicaid.
Calculate allow amounts for medications administrate by using ICD 9 and CPT codes.
Process behavioral health claims representing the medicaid division for the entire state of Virginia.
Assemble data in format request by client using SQL and in-house data management software.
Maintain files and records, also the confidentiality of all lab information according to HIPPA and laboratory policy.

Data conversion operator vs data entry processor skills

Common data conversion operator skills

Data Entry, 43%
Computer System, 11%
Error Rate, 6%
ZIP Codes, 6%
Postal Service, 5%
WPM, 4%

Common data entry processor skills

Data Entry System, 28%
Computer Database, 13%
Laboratory Specimens, 7%
Computer System, 5%
Centrifuges, 4%
WPM, 4%

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Data Conversion Operator
Data Conversion Operator vs Data Entry Processor

Updated January 8, 2025

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