Data processing clerk vs data analyst

The differences between data processing clerks and data analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a data processing clerk, becoming a data analyst takes usually requires 2-4 years. Additionally, a data analyst has an average salary of $74,342, which is higher than the $31,621 average annual salary of a data processing clerk.

The top three skills for a data processing clerk include data processing, data entry errors and computer database. The most important skills for a data analyst are data analysis, python, and power bi.

Data processing clerk vs data analyst overview

	Data Processing Clerk	Data Analyst
Yearly salary	$31,621	$74,342
Hourly rate	$15.20	$35.74
Growth rate	-5%	11%
Number of jobs	156,581	167,520
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 32%	Bachelor's Degree, 65%
Average age	44	44
Years of experience	2	4

Data processing clerk vs data analyst salary

Data processing clerks and data analysts have different pay scales, as shown below.

	Data Processing Clerk	Data Analyst
Average salary	$31,621	$74,342
Salary range	Between $26,000 And $38,000	Between $53,000 And $103,000
Highest paying City	Fremont, CA	Richmond, CA
Highest paying state	Illinois	New Jersey
Best paying company	TPI	The Citadel
Best paying industry	Government	Finance

Differences between data processing clerk and data analyst education

There are a few differences between a data processing clerk and a data analyst in terms of educational background:

	Data Processing Clerk	Data Analyst
Most common degree	Bachelor's Degree, 32%	Bachelor's Degree, 65%
Most common major	Business	Business
Most common college	-	Northwestern University

Data processing clerk vs data analyst demographics

Here are the differences between data processing clerks' and data analysts' demographics:

	Data Processing Clerk	Data Analyst
Average age	44	44
Gender ratio	Male, 22.7% Female, 77.3%	Male, 50.2% Female, 49.8%
Race ratio	Black or African American, 10.8% Unknown, 4.7% Hispanic or Latino, 20.5% Asian, 8.0% White, 55.3% American Indian and Alaska Native, 0.8%	Black or African American, 7.5% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.5% White, 64.9% American Indian and Alaska Native, 0.2%
LGBT Percentage	5%	12%

Differences between data processing clerk and data analyst duties and responsibilities

Data processing clerk example responsibilities.

Manage daily operations of ACH payments and research errors in different internal and external databases that prevent payments from transferring.
Perform DMV and NCIC queries on defendants and petitioners to obtain accurate driver's license and demographic information.
Key all labor reports into AS400 system.
Input all credit/debit card charges, and check information into QuickBooks.
Receive orders from customers, enter billing into AS400 system, and invoice the customer's orders.
Verify, update, and enter invoices, credits, vendor information, purchase orders, payroll, and pick tickets.

Data analyst example responsibilities.

Manage patient s data in UNIX system.
Manage loan performance in Hyperion Financials using SQL and PL/SQL tools.
Manage and contribute to EDI processes ensuring HIPAA compliance and access to clearing house review on individual case status.
Develop Java application to automate reformatting of text files for an internal application.
Execute deterministic modeling and Monte Carlo simulations in MATLAB to achieve greater mathematical confidence in results obtain from analysis.
Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.

Data processing clerk vs data analyst skills

Common data processing clerk skills

Data Processing, 29%
Data Entry Errors, 9%
Computer Database, 8%
Invoice Data, 8%
Computer System, 7%
Sales Orders, 5%

Common data analyst skills

Data Analysis, 10%
Python, 7%
Power Bi, 6%
Data Management, 6%
Visualization, 5%
Data Quality, 4%