Data capture specialist vs data assistant

The differences between data capture specialists 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 capture specialist and a data assistant. Additionally, a data capture specialist has an average salary of $42,674, which is higher than the $34,431 average annual salary of a data assistant.

The top three skills for a data capture specialist include CPT, epic and data capture. The most important skills for a data assistant are data entry, data collection, and patients.

Data capture specialist vs data assistant overview

	Data Capture Specialist	Data Assistant
Yearly salary	$42,674	$34,431
Hourly rate	$20.52	$16.55
Growth rate	10%	-5%
Number of jobs	89,057	78,545
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 35%	Bachelor's Degree, 63%
Average age	44	44
Years of experience	2	2

Data capture specialist vs data assistant salary

Data capture specialists and data assistants have different pay scales, as shown below.

	Data Capture Specialist	Data Assistant
Average salary	$42,674	$34,431
Salary range	Between $26,000 And $69,000	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 capture specialist and data assistant education

There are a few differences between a data capture specialist and a data assistant in terms of educational background:

	Data Capture Specialist	Data Assistant
Most common degree	Bachelor's Degree, 35%	Bachelor's Degree, 63%
Most common major	Business	Business
Most common college	-	-

Data capture specialist vs data assistant demographics

Here are the differences between data capture specialists' and data assistants' demographics:

	Data Capture Specialist	Data Assistant
Average age	44	44
Gender ratio	Male, 25.4% Female, 74.6%	Male, 36.6% Female, 63.4%
Race ratio	Black or African American, 10.5% Unknown, 4.4% Hispanic or Latino, 18.8% Asian, 9.9% White, 55.8% American Indian and Alaska Native, 0.6%	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 capture specialist and data assistant duties and responsibilities

Data capture specialist example responsibilities.

Audit nurse and system charges in order to promote ICD-9 and CPT compliant hospital coding.
Audit chart notes for documentation to support coding by utilizing EMR.
Identify infusion, injection and transfusion charges per existing CPT hierarchy guidelines.
Charge entry and ensuring correctness of coding in the CDM and clinical documentation, and providing ongoing education to charging departments.
Collect feature and attribute data in the MicroStation GIS relational database environment.
Contact doctor offices, insurance companies and patients to request information relate to clarifications on prescriptions and insurance information.

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 capture specialist vs data assistant skills

Common data capture specialist skills

CPT, 20%
Epic, 17%
Data Capture, 12%
EMR, 7%
ICD-9, 5%
Data Entry Functions, 5%

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 Capture Specialist
Data Capture Specialist vs Data Assistant

Updated January 8, 2025

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