Data typist vs data specialist

The differences between data typists and data specialists 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 typist and a data specialist. Additionally, a data specialist has an average salary of $68,326, which is higher than the $64,314 average annual salary of a data typist.

The top three skills for a data typist include WPM, data entry and computer system. The most important skills for a data specialist are data analysis, data entry, and data collection.

Data typist vs data specialist overview

	Data Typist	Data Specialist
Yearly salary	$64,314	$68,326
Hourly rate	$30.92	$32.85
Growth rate	-	9%
Number of jobs	73,837	100,301
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 35%	Bachelor's Degree, 56%
Average age	44	44
Years of experience	2	2

Data typist vs data specialist salary

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

	Data Typist	Data Specialist
Average salary	$64,314	$68,326
Salary range	Between $37,000 And $111,000	Between $40,000 And $116,000
Highest paying City	-	San Francisco, CA
Highest paying state	-	Connecticut
Best paying company	-	McKinsey & Company Inc
Best paying industry	-	Manufacturing

Differences between data typist and data specialist education

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

	Data Typist	Data Specialist
Most common degree	Bachelor's Degree, 35%	Bachelor's Degree, 56%
Most common major	Business	Business
Most common college	-	-

Data typist vs data specialist demographics

Here are the differences between data typists' and data specialists' demographics:

	Data Typist	Data Specialist
Average age	44	44
Gender ratio	Male, 25.0% Female, 75.0%	Male, 40.6% Female, 59.4%
Race ratio	Black or African American, 9.1% Unknown, 4.5% Hispanic or Latino, 18.6% Asian, 9.1% White, 57.9% American Indian and Alaska Native, 0.8%	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%
LGBT Percentage	5%	5%

Differences between data typist and data specialist duties and responsibilities

Data typist example responsibilities.

Manage and prepare pharmaceutical records for multiple FDA audits.
Verify accuracy of data; compile spreadsheets and PDF documents by combining data from various systems.
Transcribe unemployment hearings from Dictaphone; eventually transcribing appeal hearings and decisions.
Type testimonials from various parties via Dictaphone for insurance adjusters concerning automobile accidents.
Perform coordination of benefits and maintain insurance company reimbursements outcome including Medicare, Medicaid, and HMO/PPO insurance.
Type format proofread and edit correspondence and other documents from notes using computers or typewriters.

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 typist vs data specialist skills

Common data typist skills

WPM, 50%
Data Entry, 42%
Computer System, 4%
Data Sheets, 3%

Common data specialist skills

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