Correspondence analyst vs data analyst

The differences between correspondence analysts and data analysts can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a correspondence analyst and a data analyst. Additionally, a data analyst has an average salary of $74,342, which is higher than the $58,483 average annual salary of a correspondence analyst.

The top three skills for a correspondence analyst include DOD, proofreading and executive correspondence. The most important skills for a data analyst are data analysis, python, and power bi.

Correspondence analyst vs data analyst overview

	Correspondence Analyst	Data Analyst
Yearly salary	$58,483	$74,342
Hourly rate	$28.12	$35.74
Growth rate	11%	11%
Number of jobs	42,075	167,520
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 53%	Bachelor's Degree, 65%
Average age	44	44
Years of experience	4	4

Correspondence analyst vs data analyst salary

Correspondence analysts and data analysts have different pay scales, as shown below.

	Correspondence Analyst	Data Analyst
Average salary	$58,483	$74,342
Salary range	Between $40,000 And $83,000	Between $53,000 And $103,000
Highest paying City	-	Richmond, CA
Highest paying state	-	New Jersey
Best paying company	-	The Citadel
Best paying industry	-	Finance

Differences between correspondence analyst and data analyst education

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

	Correspondence Analyst	Data Analyst
Most common degree	Bachelor's Degree, 53%	Bachelor's Degree, 65%
Most common major	Business	Business
Most common college	Northwestern University	Northwestern University

Correspondence analyst vs data analyst demographics

Here are the differences between correspondence analysts' and data analysts' demographics:

	Correspondence Analyst	Data Analyst
Average age	44	44
Gender ratio	Male, 34.3% Female, 65.7%	Male, 50.2% Female, 49.8%
Race ratio	Black or African American, 8.3% Unknown, 4.5% Hispanic or Latino, 9.0% Asian, 9.8% White, 68.2% American Indian and Alaska Native, 0.2%	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	12%	12%

Differences between correspondence analyst and data analyst duties and responsibilities

Correspondence analyst example responsibilities.

Lead the requirement gathering effort from key customers for development of new JAVA applications and for troubleshooting customer issues.
Complete daily tally, communication logs, benefit updates, medical policy reviews and review policies and procedures using SharePoint applications.
Support single-point access to all major regional and national ATM and/or POS networks.
Perform research on potentially suspicious transactions/activities through analysis of internal systems, AML databases and communication with bank personnel.

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.

Correspondence analyst vs data analyst skills

Common correspondence analyst skills

DOD, 20%
Proofreading, 15%
Executive Correspondence, 14%
Correspondence Packages, 10%
Executive Secretariat, 7%
DHS, 6%

Common data analyst skills

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