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Automatic data processing customer liaison vs data processor

The differences between automatic data processing customer liaisons and data processors 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 data processor. Additionally, an automatic data processing customer liaison has an average salary of $52,024, which is higher than the $33,076 average annual salary of a data processor.

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 data processor are computer database, data processing, and financial data.

Automatic data processing customer liaison vs data processor overview

Automatic Data Processing Customer LiaisonData Processor
Yearly salary$52,024$33,076
Hourly rate$25.01$15.90
Growth rate10%-
Number of jobs84,99092,954
Job satisfaction--
Most common degreeAssociate Degree, 32%Bachelor's Degree, 40%
Average age4244
Years of experience22

Automatic data processing customer liaison vs data processor salary

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

Automatic Data Processing Customer LiaisonData Processor
Average salary$52,024$33,076
Salary rangeBetween $30,000 And $89,000Between $26,000 And $40,000
Highest paying City-Los Angeles, CA
Highest paying state-Alaska
Best paying company-AECOM
Best paying industry-Technology

Differences between automatic data processing customer liaison and data processor education

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

Automatic Data Processing Customer LiaisonData Processor
Most common degreeAssociate Degree, 32%Bachelor's Degree, 40%
Most common majorBusinessBusiness
Most common collegeUniversity of Pennsylvania-

Automatic data processing customer liaison vs data processor demographics

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

Automatic Data Processing Customer LiaisonData Processor
Average age4244
Gender ratioMale, 23.7% Female, 76.3%Male, 31.2% Female, 68.8%
Race ratioBlack 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, 9.9% Unknown, 4.2% Hispanic or Latino, 20.7% Asian, 8.5% White, 56.1% American Indian and Alaska Native, 0.6%
LGBT Percentage11%5%

Differences between automatic data processing customer liaison and data processor 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.

Data processor example responsibilities.

  • Manage and prepare pharmaceutical records for multiple FDA audits.
  • Research the CPT coding manual and edit reference codes from CMS.
  • Utilize knowledge of diagnosis codes and CPT codes to prevent denial of claim.
  • Process Medicare and Medicaid papers.
  • Enter data information about insurance claims for Medicaid.
  • Demonstrate understanding of HIPAA laws and ability to maintain confidentiality.
  • Show more

Automatic data processing customer liaison vs data processor skills

Common automatic data processing customer liaison skills
  • Data Processing, 46%
  • Outbound Calls, 24%
  • Data Entry, 17%
  • Inbound Calls, 12%
Common data processor skills
  • Computer Database, 18%
  • Data Processing, 16%
  • Financial Data, 5%
  • Data Entry, 5%
  • Computer System, 5%
  • QC, 5%

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