Data conversion operator vs data assistant

The differences between data conversion operators and data assistants 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 assistant. Additionally, a data conversion operator has an average salary of $36,140, which is higher than the $34,431 average annual salary of a data assistant.

The top three skills for a data conversion operator include data entry, computer system and error rate. The most important skills for a data assistant are data entry, data collection, and patients.

Data conversion operator vs data assistant overview

	Data Conversion Operator	Data Assistant
Yearly salary	$36,140	$34,431
Hourly rate	$17.38	$16.55
Growth rate	-	-5%
Number of jobs	91,671	78,545
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 38%	Bachelor's Degree, 63%
Average age	44	44
Years of experience	2	2

Data conversion operator vs data assistant salary

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

	Data Conversion Operator	Data Assistant
Average salary	$36,140	$34,431
Salary range	Between $24,000 And $54,000	Between $20,000 And $57,000
Highest paying City	-	San Francisco, CA
Highest paying state	-	California
Best paying company	-	DLA Piper
Best paying industry	-	Manufacturing

Differences between data conversion operator and data assistant education

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

	Data Conversion Operator	Data Assistant
Most common degree	Bachelor's Degree, 38%	Bachelor's Degree, 63%
Most common major	Business	Business
Most common college	-	-

Data conversion operator vs data assistant demographics

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

	Data Conversion Operator	Data Assistant
Average age	44	44
Gender ratio	Male, 27.2% Female, 72.8%	Male, 36.6% Female, 63.4%
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, 9.4% Unknown, 4.3% Hispanic or Latino, 20.1% Asian, 11.1% White, 54.5% American Indian and Alaska Native, 0.6%
LGBT Percentage	5%	5%

Differences between data conversion operator and data assistant 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 assistant example responsibilities.

Create UNIX and LINUX shell scripts to automate data migration process.
Implement web crawlers in python with scrapy framework.
Serve as ETL lead to help the development stage take shape as quick as possible.
Work in collaboration with the systems administrators to troubleshoot and resolve RDBMS issues cause by common business network issues.
Utilize MATLAB to conduct calculations which have to take various factors into account that affect the way a pulsejet runs.
Research request and troubleshoot customer problems via multiple computer software.

Data conversion operator vs data assistant 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 assistant skills

Data Entry, 14%
Data Collection, 10%
Patients, 9%
Data Management, 8%
Research Data, 6%
Access Database, 6%

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Data Conversion Operator
Data Conversion Operator vs Data Assistant

Updated January 8, 2025

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