Data specialist vs data conversion operator

The differences between data specialists and data conversion operators 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 specialist and a data conversion operator. Additionally, a data specialist has an average salary of $68,326, which is higher than the $36,140 average annual salary of a data conversion operator.

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

Data specialist vs data conversion operator overview

	Data Specialist	Data Conversion Operator
Yearly salary	$68,326	$36,140
Hourly rate	$32.85	$17.38
Growth rate	9%	-
Number of jobs	100,301	91,671
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 56%	Bachelor's Degree, 38%
Average age	44	44
Years of experience	2	2

Data specialist vs data conversion operator salary

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

	Data Specialist	Data Conversion Operator
Average salary	$68,326	$36,140
Salary range	Between $40,000 And $116,000	Between $24,000 And $54,000
Highest paying City	San Francisco, CA	-
Highest paying state	Connecticut	-
Best paying company	McKinsey & Company Inc	-
Best paying industry	Manufacturing	-

Differences between data specialist and data conversion operator education

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

	Data Specialist	Data Conversion Operator
Most common degree	Bachelor's Degree, 56%	Bachelor's Degree, 38%
Most common major	Business	Business
Most common college	-	-

Data specialist vs data conversion operator demographics

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

	Data Specialist	Data Conversion Operator
Average age	44	44
Gender ratio	Male, 40.6% Female, 59.4%	Male, 27.2% Female, 72.8%
Race ratio	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%	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%
LGBT Percentage	5%	5%

Differences between data specialist and data conversion operator duties and responsibilities

Data specialist example responsibilities.

Manage the FAA's classify operations program.
Manage and prepare pharmaceutical records for multiple FDA audits.
Create UNIX and LINUX shell scripts to automate data migration process.
Create packages in SSIS to automate importing text files into a data mart.
Participate in data profiling activities and lead root cause / impact analysis sessions.
Manage offshore developers to support DBA operations.

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 specialist vs data conversion operator skills

Common data specialist skills

Data Analysis, 7%
Data Entry, 7%
Data Collection, 7%
Customer Service, 7%
Data Management, 6%
Visualization, 6%

Common data conversion operator skills

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

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Data Specialist
Data Specialist vs Data Conversion Operator

Updated January 8, 2025

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