Data conversion operator vs data processor

The differences between data conversion operators and data 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 processor. Additionally, a data conversion operator has an average salary of $36,140, which is higher than the $33,076 average annual salary of a data 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 processor are computer database, data processing, and financial data.

Data conversion operator vs data processor overview

	Data Conversion Operator	Data Processor
Yearly salary	$36,140	$33,076
Hourly rate	$17.38	$15.90
Growth rate	-	-
Number of jobs	91,671	92,954
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 38%	Bachelor's Degree, 40%
Average age	44	44
Years of experience	2	2

Data conversion operator vs data processor salary

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

	Data Conversion Operator	Data Processor
Average salary	$36,140	$33,076
Salary range	Between $24,000 And $54,000	Between $26,000 And $40,000
Highest paying City	-	Los Angeles, CA
Highest paying state	-	Alaska
Best paying company	-	AECOM
Best paying industry	-	Technology

Differences between data conversion operator and data processor education

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

	Data Conversion Operator	Data Processor
Most common degree	Bachelor's Degree, 38%	Bachelor's Degree, 40%
Most common major	Business	Business
Most common college	-	-

Data conversion operator vs data processor demographics

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

	Data Conversion Operator	Data Processor
Average age	44	44
Gender ratio	Male, 27.2% Female, 72.8%	Male, 31.2% Female, 68.8%
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, 9.9% Unknown, 4.2% Hispanic or Latino, 20.7% Asian, 8.5% White, 56.1% American Indian and Alaska Native, 0.6%
LGBT Percentage	5%	5%

Differences between data conversion operator and data 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 processor example responsibilities.

Manage and prepare pharmaceutical records for multiple FDA audits.
Research the CPT coding manual and edit reference codes from CMS.
Utilize knowledge of diagnosis codes and CPT codes to prevent denial of claim.
Process Medicare and Medicaid papers.
Enter data information about insurance claims for Medicaid.
Demonstrate understanding of HIPAA laws and ability to maintain confidentiality.

Data conversion operator vs data 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 processor skills

Computer Database, 18%
Data Processing, 16%
Financial Data, 5%
Data Entry, 5%
Computer System, 5%
QC, 5%

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Data Conversion Operator vs Data Processor

Updated January 8, 2025

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