Automatic data processing customer liaison vs specialist

The differences between automatic data processing customer liaisons and specialists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 1-2 years to become both an automatic data processing customer liaison and a specialist. Additionally, a specialist has an average salary of $58,013, which is higher than the $52,024 average annual salary of an automatic data processing customer liaison.

The top three skills for an automatic data processing customer liaison include data processing, outbound calls and data entry. The most important skills for a specialist are patients, customer service, and work ethic.

Automatic data processing customer liaison vs specialist overview

	Automatic Data Processing Customer Liaison	Specialist
Yearly salary	$52,024	$58,013
Hourly rate	$25.01	$27.89
Growth rate	10%	10%
Number of jobs	84,990	358,433
Job satisfaction	-	-
Most common degree	Associate Degree, 32%	Bachelor's Degree, 49%
Average age	42	42
Years of experience	2	2

Automatic data processing customer liaison vs specialist salary

Automatic data processing customer liaisons and specialists have different pay scales, as shown below.

	Automatic Data Processing Customer Liaison	Specialist
Average salary	$52,024	$58,013
Salary range	Between $30,000 And $89,000	Between $32,000 And $104,000
Highest paying City	-	Jersey City, NJ
Highest paying state	-	New Jersey
Best paying company	-	The Citadel
Best paying industry	-	-

Differences between automatic data processing customer liaison and specialist education

There are a few differences between an automatic data processing customer liaison and a specialist in terms of educational background:

	Automatic Data Processing Customer Liaison	Specialist
Most common degree	Associate Degree, 32%	Bachelor's Degree, 49%
Most common major	Business	Business
Most common college	University of Pennsylvania	Stanford University

Automatic data processing customer liaison vs specialist demographics

Here are the differences between automatic data processing customer liaisons' and specialists' demographics:

	Automatic Data Processing Customer Liaison	Specialist
Average age	42	42
Gender ratio	Male, 23.7% Female, 76.3%	Male, 47.5% Female, 52.5%
Race ratio	Black or African American, 11.9% Unknown, 5.3% Hispanic or Latino, 15.5% Asian, 9.3% White, 57.5% American Indian and Alaska Native, 0.4%	Black or African American, 11.4% Unknown, 5.4% Hispanic or Latino, 16.4% Asian, 10.5% White, 55.9% American Indian and Alaska Native, 0.4%
LGBT Percentage	11%	11%

Differences between automatic data processing customer liaison and specialist duties and responsibilities

Automatic data processing customer liaison example responsibilities.

Manage daily operations of ACH payments and research errors in different internal and external databases that prevent payments from transferring.
Provide psychiatric consultation and medications management to geriatric patients in a variety of rehabilitation and long-term-care facilities in the area.
Generate additional sales with existing customers by upselling veterinarians on special promotions or additional vaccines or pharmaceuticals.

Specialist example responsibilities.

Create, manage, and assist users with SharePoint sites.
Manage an on-site IRB and company good clinical practice (GCP) inspection.
Manage SharePoint sites by creating, editing, and customizing company sites, libraries and security.
Manage the building of accounts, assigning of static IP's, and scheduling of business class installations.
Convert servers from UNIX to Linux, all hardware diagnostics and repair including printers/plotters/desktops etc.
Follow safety procedures such as maintenance of all equipment (Telxon scanners, terminals and ladders).

Automatic data processing customer liaison vs specialist skills

Common automatic data processing customer liaison skills

Data Processing, 46%
Outbound Calls, 24%
Data Entry, 17%
Inbound Calls, 12%

Common specialist skills

Patients, 15%
Customer Service, 11%
Work Ethic, 5%
Patient Care, 4%
Exceptional Client, 4%
Troubleshoot, 4%

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Automatic Data Processing Customer Liaison
Automatic Data Processing Customer Liaison vs Specialist

Updated January 8, 2025

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